I was recently in Bangalore speaking at the Rational Software Conference, which was really well done this year, and visiting customers. In addition to discussing how to scale agile software development approaches, particularly when the team is distributed geographically and organizationally, I was also asked about what I thought about a software factory approach to development. My instinctual reaction was negative, software factories can result in lower overall productivity as the result of over specialization of staff (I prefer generalizing specialists
), too many hand-offs between these specialists (I find close collaboration to be far more effective), and too much bureaucratic overhead to coordinate these activities. I initially chalked it up to these people still believing that software development was mostly a science, or perhaps an engineering domain, whereas my experiences had made me come to believe that software development is really more art than it is a science. Yet, the consistent belief in this strategy by very smart and experienced people started me thinking about my position.
Just let me begin by saying that this blog posting isn't meant to be yet another round in the age old, and relatively inane, "art vs. science" debate within the software development community. That debate is a symptom of versusitis
, a dread disease which particularly plagues the IT industry and which can any of us at any time. There is no known cure, although the combination of experience, open-mindedness, and critical thought are the best inoculation against versusitis that we have so far. In that vein, let me explore the issues as I see them and I will let you think for yourself.
On the one hand software development has aspects of being an art for several reasons. First, the problem definition is never precise, nor accurate, and even when we have detailed specifications the requirements invariably evolve
anyway. The lack of defined, firm requirements requires us to be flexible and to adjust to the situation that we find ourselves in. Second, teams typically find themselves in unique situations, necessitating a unique process and tool environment to reflect this (assuming that you want to be effective, otherwise there's nothing stopping you from having a "repeatable process" and consistent tool environment). Third, software is built by people for people, requiring that the development team have the ability to build a system with a user interface which meets the unique needs of their end users. One has only to look at the myriad UI designs out there to see that surely there is a bit of art going on. Fourth, if software development wasn't at least partially art then why hasn't anyone succeeded at building tools which take requirements as inputs and produce a viable solution that we can easily deploy? It's been over four decades now, so there's been sufficient time and resources available to build such tooling. Fifth, regardless of how much of a scientific/business facade we put over it, our success rate at producing up front detailed cost estimates and schedules speak for itself (see Funding Agile Projects
for links to articles).
On the other hand software development has aspects of being a science for several reasons. First, some aspects of software development have in fact been automated to a significant extent. Second, there is some mathematical basis to certain aspects of software development (although in the case of data-oriented activities the importance of relational theory
often gets blown way out of proportion and I have yet to see a situation where formal methods proved to be of practical value).
What does this have to do with Agility@Scale. As you know, one of the agile scaling factors
is Organizational Complexity, and cultural issues are the hardest to overcome. Whether your organization believes that software development is mostly an art or mostly a science is a cultural issue which will be a major driver in you choice of methods and practices. Organizations which believe that software development is more of a science will prefer strategies such as software factories, model-driven architecture (MDA),
and master data management (MDM)
. And there is ample evidence to support the claims that some organizations are succeeding at these strategies. Although you may not agree with these strategies, you need to respect the fact that many organizations are making them work in their environments. Similarly, organizations which believe that software development is more of an art will find that agile and lean strategies are a better fit, and once again there is ample evidence that organizations are succeeding with these approaches (there's also evidence that agile projects are more successful
than traditional projects, on average). Once again, you may not agree with these strategies but you need to respect the fact that other people are making them work in practice.
Trying to apply agile approaches within an organization that believes software development is mostly a science will find it difficult at best, and will likely need to embark on a multi-year program to shift their culture (likely an expensive endeavor which won't be worth the investment). Similarly, trying to apply a software factory strategy in an organization that believes that software development is mostly an art will also run aground. The bottom line is that one size does not fit all, that one strategy is
not right for all situations and that you need to understand the trade-offs of various strategies, methodologies, techniques, and practices and apply them appropriately given the situation that you face. In other words, it depends! If you are embarking on a software process initiative, and you don't have the broad experience required to effective choose between strategies (very few organizations do, although many believe otherwise), then you should consider Measured Capability Improvement Framework (MCIF)
to help increase your chance of success.
Recently I spent some time in the UK with Julian Holmes of Unified Process Mentors
. In one of our conversations we deplored what we were seeing in the agile community around certification, in particular what the Scrum community was doing, and he coined the term “integrity debt” to describe the impact it was having on us as IT professionals. Integrity debt is similar to technical debt
which refers to the concept that poor quality (either in your code, your user interface, or your data) is a debt that must eventually be paid off through rework. Integrity debt refers to the concept that questionable or unprofessional behavior builds up a debt which must eventually be paid off through the rebuilding of trust with the people that we interact with.
The agile community has been actively increasing their integrity debt through the continuing popularity of Scrum Certification, in particular the program around becoming a Certified Scrum Master (CSM). To become a CSM you currently need to attend, and hopefully pay attention during, a two-day Scrum Master Certification workshop taught by a Certified Scrum Trainer (CST). That’s it. Granted, some CSTs will hold one or more quizzes which you need to pass, an optional practice which isn’t done consistently, to ensure that you pay attention in the workshop.
Scrum Masters, as you know, take the leadership position on a Scrum team. The idea that someone can master team leadership skills after two entire days of training is absurd. Don’t get me wrong, I’m a firm supporter of people increasing their skillset and have no doubt that many of the CSTs deliver really valuable training. However, there is no possible way that you can master a topic, unless it
is truly trivial, in only two days of training. From what I can tell the only thing that is being certified here is that your check didn’t bounce.
The CSM scheme increases the integrity debt of the IT industry by undermining the value of certification. When someone claims that they’re certified there’s an assumption that they had to do something meaningful to earn that certification. Attending a two-day course, and perhaps taking a few quizzes where you parrot back what you’ve heard, clearly isn’t very meaningful. The problem with the term Certified Scrum Master is two-fold: not only does the term Certified imply that the holder of the certification did something to earn it, the term Master implies that they have significant knowledge and expertise gained over years of work.
It is very clear that people are falling for the Scrum certification scheme.
A quick search of the web will find job ads requiring that candidates be CSMs, undoubtedly because they don’t realize that there’s no substance behind the certification. Whenever I run into an organization that requires people to be CSMs I walk them through the onerous process of earning the designation and suggest that they
investigate the situation themselves. Invariably, once they recognize the level of deception, the customer drops the requirement that people be CSMs.
Another quick search of the web will find people bragging about being a CSM, presumably being motivated by the employment opportunities within the organizations gullible enough to accept Scrum certification at face value. My experience is that the people claiming to be CSMs are for the most part decent, intelligent people who 99.99% of the time have far more impressive credentials to brag about than taking a two-day course. Yet, for some reason they choose to park their integrity at the door when it comes to Scrum certification. I suspect that this happens in part because they see so many other people doing it, in part because they’re a bit desperate to obtain or retain employment in these tough economic times, and in part because the IT industry doesn’t have a widely accepted code of ethical conduct. These people not only embarrass themselves when they indicate on their business cards or in their email signatures that they’re Certified Scrum Masters they also increase the integrity debt of the agile community as a whole.
Yet another search of the web will find people bragging about being Certified Scrum Trainers (CSTs), the people whom have been blessed by the Scrum Alliance to deliver Scrum master certification courses. Once again, my experience is that these are intelligent, skilled people, albeit ones who have also parked their integrity at the door in the pursuit of a quick buck. Surely these people could make a decent living via more ethical means? I know that many of them have done so in the past, so I would presume that they could do so in the future. The actions of the CSTs increase our integrity debt even further.
The group of people who have most embarrassed themselves, in my opinion, are those whom we consider thought leaders within the agile community. Leaving aside the handful who are directly involved with the Scrum certification industry, the real problem lies with those who have turned a blind eye to all of this. The Scrum certification scheme was allowed to fester within our community because few of our thought leaders had the courage to stand up and publicly state what they were talking about in private. This of course is all the more galling when you consider how much rhetoric there is around the importance of courage on software development projects. As Edmund Burke once observed, all that is necessary for evil to triumph is for good men to do nothing.
There are several things that we can do today to start paying off some of our integrity debt:
- Be discerning, not deceptive. If you’re going to list credentials on your email signature or business card then only choose to list the ones that actually mean something.
- Educate human resources people. Make them aware of what “Certified Scrum Master” really means and let them think for themselves. I highly suspect that if HR people realized what was going on the demand for CSMs would plummet, and in turn people wouldn’t be tempted by Scrum certification.
- Act professional, don’t just claim to be certified. Instead of signing up for every easy certification that comes your way why not simply do a good job and let the people you work with be your claim to fame? The good news is that for the past few years the agile community has tried to pay down some of the IT industry’s integrity debt that we have with our stakeholders by providing better return on investment (ROI), delivering systems which are more effective at addressing the needs of your stakeholders, by working in a more timely manner, and by producing greater quality work. All of these claims are borne out by the 2008 Software Development Project Success Rate Survey by the way.
- Recognize that adding a test doesn’t address the underlying problems. For the past year there’s been a move afoot to have people pass a test as part of earning their CSM (apparently it’s been a challenge to create a non-trivial test to validate your understanding of a topic that you can master by taking a two-day training course). This is something that should have been done from the very beginning, along with some sort of peer review, not years later when the damage has been done. Adding a test at this late date isn’t going to remove the stink that’s built up over the years, but sadly it will fool a few people into believing that they’ve covered it up.
- Recognize that there is a demand for certification. The agile community needs to put together a decent certification program, something that the Scrum Alliance has clearly failed at doing. My article Coming Soon: Agile Certification provides some thoughts as to what we need to do. The good news is that people such as Ron Jeffries and Chet Hendrickson, and others, are putting together a developer certification program. The really good news is that these are the right people to do this. The really bad news is that they’re doing it under the aegis of the Scrum Alliance, so whatever they accomplish will unfortunately be tainted by the fallout of the CSM debacle.
If we're going to scale agile software development strategies to meet the range of challenges faced by modern organizations, we need to be trustworthy. Is claiming to be a certified master after taking a two-day course an act which engenders trust? I don't think so. As individuals we can choose to do better. As a community we need to.Suggested Reading
- Agile Certification -- A humorous look at certification.
- IT Surveys -- A great resource for statistics about what IT people are actually doing in practice.
Modified on by ScottAmbler
When I talk to people about scaling agile techniques, or about agile software development in general, I often put describe strategies in terms of various risks. I find that this is an effective way for people to understand the trade-offs that they're making when they choose one strategy over another. The challenge with this approach is that you need to understand these risks that you're taking on, and the risks that you're mitigating, with the techniques that you adopt. Therein lies the rub, because the purveyors of the various process religions ( oops I mean methodologies) rarely seem to coherently the discuss the risks which people take on (and there's always risk) when following their dogma (oops, I mean sage advice).
For example, consider the risks associated with the various strategies for initially specifying requirements or design. At the one extreme we have the traditional strategy of writing initial detailed speculations, more on this term in a minute, and at the other extreme we have the strategy of just banging out code. In between are Agile Modeling (AM) strategies such as requirements envisioning and architecture envisioning (to name a few AM strategies). Traditionalists will often lean towards the former approach, particularly when several agile scaling factors apply, whereas disciplined agile developers will lean towards initial envisioning. There are risks with both approaches.
Let's consider the risks involved with writing detailed speculations (there's that term again):
You're speculating, not specifying. There is clearly some value with doing some up-front requirements or architecture modeling, although the data regarding the value of modeling is fairly slim (there is a lot of dogma about it though), but that value quickly drops off in practice. However, the more you write the greater the chance that you're speculating what people want (when it comes to requirements) or how you're going to build it (when it comes to architecture/design). Traditionalists will often underestimate the risks that they're taking on when they write big requirements up front (BRUF) , or create big models up front (BMUF) in general, but in the case of BRUF the average is that a large percentage of the functionality produced is never used in practice -- this is because the detailed requirements "specifications" contained many speculations as to what people wanted, many of which proved to be poor guesses in practice.
You're effectively committing to decisions earlier than you should. A side effect of writing detailed speculations is that by putting in the work to document, validate, and then update the detailed speculations the decisions contained in the speculations become firmer and firmer. You're more likely to be willing to change the content of a two-page, high-level overview of your system requirements than you are to change the content of a 200-page requirements speculation that has been laboriously reviewed and accepted by your stakeholders. In effect the decision of what should be built gets "carved in stone" early in the process. One of the principles of lean software development is to defer decisions as late as possible, only making them when you need to, thereby maximizing your flexibility. In this case by making requirements decisions early in the process through writing detailed speculations, you reduce your ability to deliver functionality which meets the actual needs of your stakeholders, thereby increasing project risk.
You're increasing communication risk. We've known for decades that of all the means of communication that we have available to us, that sharing documentation with other people is the riskiest and least effective strategy available to us for communicating information (face-to-face communication around a shared sketching environment is the most effective). At scale, particularly when the team is large or the team geographically distributed, you will need to invest a little more time producing specifications then when the team is co-located, to reduce the inherent risks associated with those scaling factors, but that doesn't give you license to write huge tomes. Agile documentation strategies still apply at scale. Also, if you use more sophisticated tooling you'll find it easier to promote collaboration on agile teams at scale.
You're traveling heavy. Extreme Programming (XP) popularized the concept of traveling light. The basic idea is that any artifact that you create must be maintained throughout the rest of the project (why create a document if you have no intention of keeping it up to date). The implication is that the more artifacts you create the slower you work due to the increased maintenance burden.
There are also risks involved with initial envisioning:
You still need to get the details. Just because you're not documenting the details up front doesn't imply that you don't need to understand them at some point. Agile Modeling includes several strategies for exploring details throughout the agile system development life cycle (SDLC), including iteration modeling performed at the beginning of each iteration as part of your overall iteration planning activities, just in time (JIT) model storming throughout the iteration, and test-driven development (TDD) for detailed JIT executable specification.
You need access to stakeholders. One of the fundamental assumptions of agile approaches is that you'll have active stakeholder participation throughout a project. You need to be able to get information from your stakeholders in a timely manner for the previously listed AM techniques to work effectively. My experience is that this is fairly straightforward to achieve if you educate the business as to the importance of doing so and you stand up and fight for it when you need to. Unfortunately many people don't insist on access to stakeholders and put their projects at risk as a result.
You may still need some documented speculations. As noted previously you may in fact need to invest in some specifications, particularly at scale, although it's important to recognize the associated risks in doing so. For example, in regulatory compliance situations you will find that you need to invest more in documented speculations simply to ensure that you fulfill your regulatory obligations (my advice, as always, is to read the regulations and then address them in a practical manner).
The ways that you approach exploring requirements, and formulating architecture/design, are important success criteria regardless of your process religion/methodology. No strategy is risk free, and every strategy makes sense within given criteria. As an IT professional you need to understand the risks involved with the various techniques so that you can make the trade-offs best suited for your situation. One process size does not fit all.
My final advice is to take a look at the Disciplined Agile Delivery (DAD) framework as it provides a robust strategy for addressing the realities of agile software development in enterprise settings.
At Agile 2009 in August Sue McKinney, VP of Development Transformation with IBM Software Group, was interviewed by DZone's Nitin Bharti about IBM's experiences adopting agile techniques. There are over 25,000 developers within IBM Software Group alone. Follow the link to the interview
to view it online (there is also a text transcript posted there. There's some great insights into the realities of scaling agile in large teams, in distributed agile development, and in particular how to transform a large organization's development staff.
At IBM Rational we define disciplined agile delivery as:
Disciplined agile delivery is an evolutionary (iterative and incremental) approach which regularly produces high quality solutions in a cost effective and timely manner via a risk and value driven life cycle. It is performed in a highly collaborative, disciplined, and self-organizing manner within an appropriate governance framework, with active stakeholder participation to ensure that the team understands and addresses the changing needs of its stakeholders to maximize business value provided. Disciplined agile delivery teams provide repeatable results by adopting just the right amount of ceremony for the situation which they face.
Let’s explore the key points in this definition:
- Full delivery life cycle. Disciplined agile delivery processes have life cycles which are serial in the large and iterative in the small. Minimally they have a release rhythm which recognizes the need for start up/inception activities, construction activities, and deployment/transition activities. Better yet, they include explicit phases as well. It is very important to note that these are not the traditional waterfall phases – requirements, analysis, design, and so on – but instead different “seasons” of a project. The point is that we need to look beyond agile software development and consider the full complexities of solution delivery. Adopting a full delivery life cycle, not just a construction life cycle, is arguably the “zeroth” agile scaling factor.
- Evolutionary. Agile strategies are both iterative and incremental in nature. Iterative means that you are working in a non-serial manner, on any given day you may do some requirements analysis, some testing, some programming, some design, some more testing, and so on. Incremental means that you add new functionality and working code to the most recent build, until such time as the stakeholder determines there is enough value to release the product.
- Regularly produces high quality solutions. Agilists are said to be quality focused. They prefer to test often and early, and the more disciplined ones even take a test-first approach where they will write a single test and the just enough production code to fulfill that test (then they iterate). Many agile developers have adopted the practice of refactoring, which is a technique where you make simple changes to your code or schema which improves its quality without changing its semantics. Adoption of these sorts of quality techniques seems to work – it appears that agile teams are more likely to deliver high quality systems than traditional teams (according to the DDJ 2008 Project Success survey). Within IBM we take it one step further and focus on consumability, which encompasses quality and other features such as ease of deployment and system performance. Furthermore, although some agile methods promote the concept of producing “potentially shippable software” on a regular basis, disciplined agile delivery teams produce solutions: a portion of which may be software, a portion of which may be hardware, and a portion of which will be the manner in which the system is used.
- Cost effective and timely manner. Agile teams prefer to implement functionality in priority order [http://www.agilemodeling.com/essays/prioritizedRequirements.htm], with the priority being defined by their stakeholders (or a representative thereof). Working in priority order enables agile teams to maximize the return on investment (ROI) because they are working on the high-value functionality as defined by their stakeholders, thereby increasing cost effectiveness. Agile teams also prefer to produce potentially shippable solutions each iteration (an iteration is a time-box, typically 2-4 weeks in length), enabling their stakeholders to determine when they wish to have a release delivered to them and thereby improving timeliness. Short iterations reduce the feedback cycle, improving the chance that agile teams will discover problems early (they “fail fast”) and thereby enable them to address the problems when they’re still reasonably inexpensive to do so. The DDJ 2008 Project Success survey found that agile teams are in fact more likely to deliver good ROI than traditional teams and more likely to deliver in a timely manner.
- Value driven life cycle. One result of building a potentially shippable solution every iteration is that agile teams produce concrete value in a consistent and visible manner throughout the life cycle.
- Risk and value driven life cycle. Core agile processes are very clear about the need to produce visible value in the form of working software on a regular basis throughout the life cycle. Disciplined agile delivery processes take it one step further and actively mitigate risk early in the life cycle – during project start up you should come to stakeholder concurrence regarding the project’s scope, thereby reducing significant business risk, and prove the architecture by building a working skeleton of your system, thereby significantly reducing technical risk. They also help with transition to agile, allowing traditional funding models to use these milestones before moving to the finer grained iteration based funding that agile allows.
- Highly collaborative. People build systems, and the primary determinant of success on a development project is the individuals and the way that they work together. Agile teams strive to work closely together and effectively as possible. This is a characteristic that applies to both engineers on the team, as well as their leadership.
- Disciplined. Agile software development requires greater discipline on the part of practitioners that what is typically required by traditional approaches.
- Self organizing. This means that the people who do the work also plan and estimate the work.
- Self-organization within an appropriate governance framework. Self-organization leads to more realistic plans and estimates which are more acceptable to the people implementing them. At the same time these self-organizing teams must work within an appropriate governance framework which reflects the needs of their overall organizational environment. An “appropriate governance framework” explicitly enables disciplined agile delivery teams to effectively leverage a common infrastructure, to follow organizational conventions, and to work towards organizational goals. The point is that project teams, regardless of the delivery paradigm they are following, need to work within the governance framework of their organization. More importantly, effective governance programs should make it desirable to do so. Our experience is that traditional, command-and-control approaches to governance where senior management explicitly tells teams what to do and how to do it don’t work very well with agile delivery teams. We’ve also found that lean development governance, an approach which is based on collaboration and enablement, is far more effective in practice. Good governance increases the chance that agile delivery teams will build systems which fit into your overall organizational environment, instead of yet another stand-alone system which increases your overall maintenance burden and data quality problems.
- Active stakeholder participation. Agile teams work closely with their stakeholders, who include end users, managers of end users, the people paying for the project, enterprise architects, support staff, operations stuff, and many more. Within IBM we distinguish between four categories of stakeholder: principles/sponsors, partners (business partners and others), end users, and insiders These stakeholders, or their representatives (product owners in Scrum, or on-site customers in Extreme Programming, or a resident stakeholder in scaling situations), are expected to provide information and make decisions in a timely manner.
- Changing needs of stakeholders. As a project progresses your stakeholders will gain a better understanding of what they want, particularly if you’re showing them working software on a regular basis, and will change their “requirements” as a result. Changes in the business environment, or changes in organization priority, will also motivate changes to the requirements. There is a clear need for agile requirements change management [http://www.agilemodeling.com/essays/changeManagement.htm] on modern IT projects.
- Repeatable results. Stakeholders are rarely interested in how you delivered a solution but instead in what you delivered. In particular, they are often interested in having a solution which meets their actual needs, in spending their money wisely, in a high-quality solution, and in something which is delivered in a timely manner. In other words, they’re interested in repeatable results, not repeatable processes.
- Right amount of ceremony for the situation. Agile approaches minimize ceremony in favor of delivering concrete value in the form of working software, but that doesn’t mean they do away with ceremony completely. Agile teams will still hold reviews, when it makes sense to do so. DDJ’s 2008 Modeling and Documentation Survey found that agile teams will still produce deliverable documentation, such as operations manuals and user manuals, and furthermore are just as likely to do so as traditional teams. The DDJ September 2009 State of the IT Union survey found that the quality of the documentation delivered by agile teams was just as good as that delivered by traditional teams, although iterative teams (e.g. RUP teams) did better than both agile and traditional.
When you’re inside, safe in the warmth of your home watching snow fall on your driveway outside, all snowflakes look the same. But, when you look at a snowflake up close, particularly when you do so under a microscope, you quickly discover that all snowflakes are in fact unique.
It’s the same with IT projects.
When you look at them from afar, particularly
from a very high level, they all look the same.
However, when you look at them up close, you quickly discover that they too
The agile scaling factors
, which are really just general scaling factors applicable to all types of IT
project regardless of paradigm, help to make this very clear.
For example, when it comes to team size some teams
are small, less than ten people perhaps, some are medium sized, and some are very
large (with hundreds of people).
comes to distribution some teams are co-located in the same room, some teams
have team members in different cubicles in the same building, some have people
working in different buildings, and some even have people working in different
Many agile teams work in
regulatory environments, in fact the July 2009 DDJ State of the IT Union survey reports that one third of agile teams must
comply to industry regulations, although clearly many agile teams do not have
this as a concern. That’s only three
scaling factors. The point is that a
small, co-located team working in a non-regulatory environment will work much
differently than a fifty-person team working in three different locations,
which in turn works differently than a two hundred person team in the same
building working in a regulatory situation.
Different teams, facing different scaling issues will work in different
ways – unique snowflakes from a process point of view.
The Agile Scaling Model (ASM) is a contextual framework for effective adoption and tailoring of agile practices to meet the unique challenges faced by a system delivery team of any size.
The ASM distinguishes between three scaling
- Core agile development. Core agile methods, such as Scrum and Agile Modeling, are self governing, have a value-driven system development lifecycle (SDLC), and address a portion of the development lifecycle. These methods, and their practices, such as daily stand up meetings and requirements envisioning, are optimized for small, co-located teams developing fairly straightforward systems.
- Disciplined agile delivery. Disciplined agile delivery processes, which include Dynamic System Development Method (DSDM) and Open Unified Process (OpenUP), go further by covering the full software development lifecycle from project inception to transitioning the system into your production environment (or into the marketplace as the case may be). Disciplined agile delivery processes are self organizing within an appropriate governance framework and take both a risk and value driven approach to the lifecycle. Like the core agile development category, this category is also focused on small, co-located teams delivering fairly straightforward systems. To address the full delivery lifecycle you need to combine practices from several core methods, or adopt a method which has already done so.
- Agility at Scale. This category focuses on disciplined agile delivery where one or more scaling factors are applicable. The eight scaling factors are team size, geographical distribution, regulatory compliance, organizational complexity, technical complexity, organizational distribution, domain complexity, and enterprise discipline. All of these scaling factors are ranges, and not all of them will likely be applicable to any given project, so you need to be flexible when scaling agile approaches to meet the needs of your unique situation. To address these scaling factors you will need to tailor your disciplined agile delivery practices and in some situations adopt a handful of new practices to address the additional risks that you face at scale.
The first step in scaling agile approaches is to move from partial methods to a full-fledged, disciplined agile delivery process. Mainstream agile development processes and practices, of which there are many, have certainly garnered a lot of attention in recent years. They’ve motivated the IT community to pause and consider new ways of working, and many organizations have adopted and been successful with them. However, these mainstream strategies (such as Extreme Programming (XP) or Scrum, which the ASM refers to as core agile development strategies) are never sufficient on their own; as a result organizations must combine and tailor them to address the full delivery life cycle. When doing so the smarter organizations also bring a bit more discipline to the table, even more so than what is required by core agile processes themselves, to address governance and risk.
The second step to scaling agile is to recognize your degree of complexity. A lot of the mainstream agile advice is oriented towards small, co-located teams developing relatively straightforward systems. But once your team grows, or becomes distributed, or you find yourself working on a system that isn’t so straightforward, you find that the mainstream agile advice doesn’t work quite so well – at least not without sometimes significant modification. Each of the scaling factors introduces their own risks, and when addressed effectively can actually reduce project risk, and for your project team to succeed you will want to identify the scaling factors applicable to the situation that you face and act accordingly. Unfortunately, this is a lot easier said (OK, in this case blogged about) than done.
IBM Rational advocates disciplined agile delivery as the minimum that your organization should consider if it wants to succeed with agile techniques. You may not be there yet, still in the learning stages. But our experience is that you will quickly discover how one or more of the scaling factors is applicable, and as a result need to change the way you work.
On Tuesday, Dec 1, 2009 Philippe Kruchten
, Bruce MacIsaac
, and myself participated on two virtual panels about the future of the Unified Process (we did two to support callers from around the globe) for the Global Rational User's Group (GRUG)
. During the panel sessions we discussed a bit of the history of the Unified Process, some of the misconceptions people have with it, some of the common mistakes people made implementing it (instantiating it to be documentation heavy and/or serial) due to those misconceptions, how it can be very agile if you choose to instantiate it that way, the OpenUP
, the AUP
, how UP relates to the IBM Practices
, and other topics.
The links to the recordings are:
Hope you find it interesting. As I've written in the past, the RUP can be as agile as you want to make it. Furthermore, there are a lot of really good ideas in the RUP that the agile community can and should choose to mine, although sadly I see far too many teams doing things the hard way and reinventing the process wheel on their own. I hope they're enjoying themselves, because it clearly isn't a very efficient way for them to go about process improvement.
Modified on by ScottAmbler
In 2009 I wrote a white paper entitled The Agile Scaling Model (ASM): Adapting Agile Methods for Complex Environments for IBM Rational. Apparently it's been taken down, which I think is unfortunate as it contains some interesting ideas that your organization may be able to benefit from.
The original white paper addresses several key issues:
It provides and explains a definition for disciplined agile delivery. A more up to date discussion of DAD can be found on the Disciplined Agile Delivery site.
It describes criteria to determine is a team is agile. I've explored this issue via several surveys over the years since then. See the January 2013 How Agile Are You? results.
It describes the ASM, which distinguishes between core agile development techniques, disciplined agile delivery strategies, and agility at scale. The ASM was superceded in early 2013 by the Software Development Context Framework (SDCF). Perhaps this is why the ASM paper was taken down??
It overviews the eight scaling factors which a delivery team may face, scaling factors which motivate changes in the process that you will follow and the tools that you will adopt. The SDCF provides my recent thoughts regarding scaling factors. I have also run various IT Surveys over the years exploring how well organizations fare at scaling agile.
It describes the implications of the ASM. My blog posting Scaling Agile: Start with a Disciplined Foundation covers this very well.
It argues that you should strive to be as agile as you need to be, and that will be driven by the situation that you face.
activities are evolutionary (iterative and incremental) and highly collaborative in nature. Initially requirements are explored at a high level via requirements envisioning
at the beginning of the project and the details are explored on a just-in-time (JIT) basis via iteration modeling
and model storming
activities. The way that you perform these agile practices, and the extent to which you do so, depends on the situation in which a project team finds itself. The Agile Scaling Model (ASM)
is a contextual framework for effective adoption and tailoring of agile practices to meet the unique challenges faced by a system delivery team of any size. To see how this works, let's apply the concepts of the ASM to see how we would scale our agile approach to requirements.
First, let's consider how a small, co-located team would work. The first two categories of the ASM are core agile development and disciplined agile delivery
, the focus of both are small co-located teams in a fairly straightforward situation. In these situations simple techniques such as user stories
written on index cards and sketches on whiteboards
work very well, so the best advice that I can give is to stick with them. Some teams will take a test-driven development
(TDD) approach where they capture their requirements and design in the form of executable specifications
, although this sort of strategy isn't as common as it should be (yet!), likely because of the greater skill and discipline that it requires. Traditionalists often balk at this approach, believing that they need to document the requirements in some manner. But, for a small co-located team working in a collaborative manner, requirements documentation proves to be little more than busy work, often doing nothing more than justifying the existence of a business analyst who hasn't made the jump to agile yet. Don't get me wrong, there are good reasons to write some requirements documentation, and we'll see this in a minute, but you should always question any request for written specifications and try to find more effective ways to address the actual goal(s) motivating the request. Never forget that written documentation
is the least effective communication
option available to you.
Although inclusive tools
such as whiteboards and paper work well for requirements, for development activities you will need electronic tools. You will either put together an environment from point-specific tools or adopt something more sophisticated such as IBM Rational Team Concert (RTC)
which is already fully integrated and instrumented. RTC is a commercial tool, but luckily you can download a 10-license environment free of charge, which is just perfect for a small team. Larger teams, of course, will need to purchase licenses. One of the things that a disciplined agile delivery approach adds to core agile development is it addresses the full delivery life cycle, which is important because it explicitly includes pre-construction activities such as requirements envisioning. The first step in scaling agile techniques is to adopt a full delivery life cycle which covers the full range of activities required to initiate a project, produce the solution, and then release to solution to your end users.
More interesting is the third category of the ASM, Agility@Scale, and how its eight agile scaling factors
affect the way that you tailor your process and tooling strategy. Let's explore how each one could potentially affect your agile requirements strategy:
- Geographical distribution. The majority of agile teams are distributed in some manner -- some people are working in cubicles or private offices, on different floors, in different buildings, or even in different countries -- and when this happens your communication and coordination risks goes up. To counter this risk you will need to perform a bit more requirements envisioning up front to help ensure that everyone is working to the same vision, although this doesn't imply that you need to write detailed requirements speculations which would dramatically increase the risk to your project. Remember, agilists do just barely enough modeling and are prepared to iteratively elicit the details when they need to do so. The more distributed the team is the more likely they will need to adopt software-based requirements modeling tools such as IBM Rational Requirements Composer (RRC) which supports streamlined, agile requirements elicitation throughout the delivery life cycle. Index cards and whiteboards are great, but they're difficult to see if you're outside the room where they're posted. I've written a fair bit about distributed agile development in this blog.
- Team size. Some organizations, including IBM, are successfully applying agile techniques with teams of hundreds of people. A team of one hundred people will naturally work much differently than a team of ten people, or of one thousand people. Large teams are organized into collections of smaller teams, and the requirements for the overall project must be divvied up somehow between those teams. The implications are that as the team size grows you will need to invest a bit more time in initial requirements envisioning, and in initial architecture envisioning for that matter; you will need to use more sophisticated tools; and may need to use more sophisticated modeling techniques such as use cases and functional user interface prototypes. See large agile teams for more advice.
- Compliance requirement. When regulatory issues – such as Sarbanes Oxley, ISO 9000, or FDA CFR 21 – are applicable you are likely going to be required to capture requirements specifications in some manner and to enact traceability between those requirements. However, I highly recommend that you read the actual regulations yourself and don't let bureaucrats interpret them for you (doesn't it always seem that their interpretation always results in an onerous, documentation heavy solution?) because I have yet to run into a regulation which required you to work in an ineffective manner. Managing your requirements as work items in RTC can often more than meet your regulatory requirements for documentation and traceability, although you may want to consider a tool such as IBM Rational RequisitePro for complex regulatory situations.
- Domain complexity. The manner in which you elicit requirements for a data entry application or an informational web site will likely be much simpler than for a bio-chemical process monitoring or air traffic control system. More complex domains will require greater emphasis on exploration and experimentation, including but not limited to prototyping, modeling, and simulation. Although user stories may be effective as a primary requirements artifact in simple domains, in more complex domains you are likely to find that you need to drive your requirements effort with more sophisticated modeling techniques.
- Organization distribution. Sometimes a project team includes members from different divisions, different partner companies, or from external services firms. In these cases, particularly where the work is strictly organized between the various organizations (perhaps for security concerns), you may need a more sophisticated approach to managing the requirements. RTC enables you to organize the requirements between teams, and then to automatically track progress in real time via the RTC project dashboard.
- Technical complexity. The technical complexity of a solution can vary widely, from a single platform silo application to a multi-platform application working with legacy systems and data to a full-blown systems engineering effort. Complex technical domains, just like complex business domains, require more complex strategies for requirements elicitation and management. The requirements for your legacy systems are likely to have been captured using tools and techniques appropriate for that platform, for example the requirements for your COBOL application may have been captured using data flow diagrams and data models, whereas the requirements for your Java legacy application where captured using UML diagrams. The subteam working on the COBOL system might be using IBM Rational Application Developer (RAD) and RTC for Z whereas the Java subteam may use Eclipse with RTC. Because systems engineering projects can stretch on for years, particularly when the hardware is being developed in parallel to the software, sophisticated tooling such as IBM Rational DOORS is often used in these situations. For more information about systems engineering, see the IBM Rational Harmony process.
- Organizational complexity. Your approach to requirements elicitation and management will be affected by a host of organizational complexities, including your corporate culture. When the culture is flexible and collaborative you can be very agile in your approach to requirements, but as it becomes more rigid you become more constrained in what is considered acceptable and thus take on greater project risk. For example, many organizations still struggle with their approach to funding projects, often demanding that the project team provides an "accurate" estimate up front to which they will be held to. This in turn motivates risky behavior on the part of the development, including a "big requirements up front (BRUF)" approach where a detailed requirements speculation is developed early in the project. This is just one example of how questionable corporate culture can impact the way in which an agile team works.
- Enterprise discipline. Some organizations have enterprise-level disciplines, such as enterprise architecture, enterprise business modeling, strategic reuse, and portfolio management in place. These disciplines can easily be agile and from what I can tell the more successful efforts appear to lean more towards the agile end of the spectrum rather than the traditional end. Having an enterprise business modeling effort underway will affect your project-level requirements strategy -- you'll be able to leverage existing models, have access to people who understand the domain at an enterprise level, and will likely need to map your project efforts back to your enterprise models. The enterprise modelers will likely be using tools such as IBM Rational System Architect or IBM Websphere Business Modeler.
It is important to note that the way that you tailor the agile practices that you follow, and the tools that you use, will reflect the situation that you find yourself in. In other words, you need to right size your process and the Agile Scaling Model (ASM) provides the context to help you do so. As you saw above, in simpler situations you will use the simpler tools and techniques which are commonly promoted within the core agile development community. But, when things become a bit more complex and one or more of the scaling factors applies you need to modify your approach -- just don't forget that you should strive to be as agile as you can be given the situation that you find yourself in.