There seems to be a lot of misunderstanding around the topic of "Agile RUP", so I thought I'd put in my $0.02 on the subject. I suspect that some of the misunderstanding stems from lack of knowledge about RUP, either because the person either hasn't looked at RUP and is simply parroting the misinformation they heard from other people or because they've seen or been involved with questionable implmentations of RUP in the past. For the first problem I suggest reading "Agility and Discipline Made Easy" by Per Kroll and Bruce MacIsaac because it gives a pretty good overview of applying RUP in an Agile manner.
The second problem is a bit more challenging to overcome because of the very nature of RUP. RUP isn't a software process, it's actually a software process framework from which you instantiate software processes. Big difference. You select, and tailor where appropriate, the process elements appropriate to your situation. Unfortunately many organizations appear to have struggled with this concept. A common anti-pattern which are organizations that look at the RUP and say "there's a lot of really good stuff here" (absolutely true) and then conclude "we need to do it all" (yikes). That's the equivalent of going to a buffet and trying to eat all of the food in it, very clearly a bad dietary strategy. Just like you need to pick and choose only the food that you should eat, hopefully being mature enough to choose food that is good for you, you need to pick the appropriate process elements which are good for you. This requires significant experience and process knowledge to do effectively because software development is a complex endeavor and the best approach for one situation may be completely different for another situation. A second anti-pattern is when organizations assign their existing process engineers, who are often used to document-heavy serial processes, and ask them to tailor the RUP. It isn't surprising that they often produce a document-heavy and serial version of the RUP (at that point I would argue that it's no longer RUP).
The point is that these problems are self-inflicted, that these organizations could just as easily have chosen to instantiate the RUP in a light and effective manner, and better yet in a truly agile manner. In practice the RUP can be as agile as you want it to be, but you need to choose to work this way.
Some important observations:1. RUP socialized many of the concepts that Agile was built on. Although the concept of iterative development was around long before RUP, for many organizations RUP made the concept palatable through its mature approach (particularly when compared to some of the RAD/Spiral strategies at the time). In many organizations RUP also socialized testing throughout the entire lifecycle, delivery of working software each iteration, and collaborating closely with stakeholders throughout the project (to name but a few). These ideas seem straightfoward today, and they've been taken to even greater extremes in some cases , but back in the mid-90s this was pretty heady stuff for the vast majority of practitioners within the IT community. 2. RUP has adopted many of the "new" agile techniques. RUP is a process framework containing a wealth of IT practices, including both agile and traditional practices (and a lot in between). RUP continues to evolve, capturing industry best practices from many sources. So naturally RUP has adopted many agile concepts such as test-driven development (TDD), continuous integration, embracing change, and others. Check it out and see for yourself.3. RUP is as agile, or non-agile, as you want to make it. I've said it before and I'll say it again -- the RUP is a process framework from which you instantiate processes. You've got complete control over how agile the RUP is.4. RUP contains many of critical techniques for scaling agile. In a previous blog posting I overviewed the issues around scaling, not only is team size an issue but so is geographical distribution, regulatory compliance, application complexity, legacy systems/policies, governance, and organizational distribution.
I'm sure some people are reading this and thinking to themselves "of course this is what Scott is going to say, that's his job." Well, think what you want, but I was writing about how to take an agile approach several years before joining IBM. In fact, I believe that I'm the first to do so, writing about it in print in my Software Development column back in 2001 and more importantly in my book Agile Modeling: Effective Practices for XP and UP in 2002. And, if you go poking around the web a bit, you'll see a lot other have written about this too, including Craig Larman, Ivar Jacobson, Bob Martin, Gary Evans, Doug Rosenberg and many more.
I'd like to leave you with a sound bite: "The RUP done right is Agile. The RUP done wrong is just plain wrong."[Read More]
Agility@Scale: Strategies for Scaling Agile Software Development
with Tags: rup X
Yesterday I was involved with a workshop around agile development at scale. At one point in the conversation we started talking about the relationship between cost and quality. Some of the people in the workshop were relatively new to agile and still believed the traditional theory that to build in high quality it costs more, sometimes substantially more. This does appear to be true on traditional waterfall projects, but some people were making the mistake that this was an "natural law of IT" which also must apply to agile project teams. I naturally jumped on that idea and described how agile developers have found that writing high quality code leads to lower development costs and shorter time to value, in direct contradiction to traditional theory. A few people struggled with the idea for a bit, and one was pretty adamant that in some cases the need for very high quality does in fact lead to greater cost and time. He talked about his experiences on large-scale Rational Unified Process(RUP) projects and in particular how some URPS (usability, reliability, performance, and supportability) requirements can increase your cost. At this point Per Kroll, co-author of Agility and Discipline Made Easy: Practices from OpenUP and RUP, jumped into the conversation and pointed out although higher quality does lead to lower cost in most cases, using Toyota's lean approach to manufacturing as an example, that the agile community didn't completely have the relationship between quality and cost completely correct. My spidey sense told me that a learning opportunity was coming my way.
Per and I had an offline discussion about this to explore what he'd been observing in practice. In most situation it appears to be the case that higher quality does in fact lead to lower costs and shorter time for delivery, something that Per and I had observed numerous times. This happens because high quality code is much easier to understand and evolve than low quality code -- the agile community has found that it is very inexpensive to write high quality code by following practices such as continuous integration, developer regression testing [or better yet test-driven development(TDD)], static code analysis, following common development conventions, and agile modeling strategies. When you "bake in" quality from the start through applying these techniques, instead of apply traditional techniques such as reviews and end-of-lifecycle testing (which is still valid for agile projects, but should not be your primary approach to testing) which have long feedback cycles and therefore prove costly in practice. But, as we've learned time and again, when you find yourself in more complex situations of Agility@Scale sometimes the mainstream agile strategies fall down. For example, in situations where the regulatory compliance scaling factor is applicable, particularly regulations around protecting human life (i.e. the FDA's CFR 21 Part 11), you find that some of the URPS requirements require a greater investment in quality which can increase overall development cost and time. This is particularly true when you need to start meeting 4-nines requirements (i.e. the system needs to be available 99.99% of the time) let alone 5-nines requirements or more. The cost of thorough testing and inspection can rise substantially in these sorts of situations.
In conclusion, it does seem to be true in the majority of situations, which is what the level 1 rhetoric focuses on, that higher quality leads to lower development costs. But at scale this doesn't always seem to hold true.
PS -- Sorry for the corny title, but a couple of days ago at the Rational Software Conference I had the pleasure of interviewing Jamie Hyneman and Adam Savage from the Discovery Channel's Mythbuster's show as part of the conference keynote. They're great guys, BTW, who have had a really positive impact on motivating children to be interested in science (apparently kids like to see stuff get blown up, go figure).[Read More]
It's customary to start a blog by describing the vision for it. Although this vision will undoubtedly evolve over time, it's always good to put a stake in the ground to get things started. Agile software development is clearly taking off and in my opinion is becoming the dominant development paradigm. Furthermore it appears that Agile approaches enjoy a higher success rate, providing better value for your IT investment, than do traditional approaches. Although organizations are succeeding at simpler projects with agile, many are struggling when applying Agile in more complex situations. They're finding that the "Agile rhetoric" doesn't always live up to its promises once you move into these complex situations. My goal with this blog is to share strategies for applying Agile techniques at scale.
When applying Agile strategies at scale you are likely to run into one or more of the following complexity factors:1. Geographical distribution. Is your team, including stakeholders, in different locations? Even being in different cubicles within the same building can erect barriers to communication, let alone being in different cities or even on different continents.2. Regulatory compliance. Regulations, including the Sarbanes-Oxley act, BASEL-II, and FDA statutes, to name a few, can increase the documentation and process burden on your projects. Complying to these regulations while still remaining as agile as possible can be a challenge.3. Entrenched policies, people, and processes. Most agile teams need to work within the scope of a larger organization, and that larger organization isn't always perfectly agile. Hopefully that will change in time, but we still need to get the job done right now. Your existing culture and organization can really hinder your ability to scale agile approaches, then a few "simple" changes can really help your efforts.4. Legacy systems. Although the politically correct term would be "proven assets" the reality is that it can be very difficult to leverage existing code and data sources due to quality problems. The code may not be well written, documented, or even have tests in place, yet that doesn't mean that your agile team should rewrite everything from scratch. Some legacy data sources are questionable at best, or the owners of those data sources difficult to work with, yet that doesn't given an agile team license to create yet another database.5. Organizational distribution. When your teams are made up of people working for different divisions, or if you have people from different companies (such as contractors, partners, or consultants), then your management complexity rises.6. Degree of governance. If you have one or more IT projects then you have an IT governance process in place. How formal it is, how explicit it is, and how effective it is will be up to you. IBM has been doing a lot of work in this topic over the past few years, and just recently Per Kroll and I have done some work around Lean Governance strategies. 7. Team size. Large teams will be organized differently than small teams, and they'll work differently too.8. System complexity. The more complex the system the greater the need for a viable architectural strategy. An interesting feature of the Rational Unified Process (RUP) is that it's Elaboration phase's primary goal is to prove the architecture via the creation of an end-to-end, working skeleton of the system. This risk-reduction technique is clearly a concept which Extreme Programming (XP) and Scrum teams can clearly benefit from.
It is definitely possible to scale Agile software development to meet the real-world complexities faced by modern organizations. Based on my experiences, I believe that over the next few years we'll discover that Agile scales better than traditional approaches. Many people have already discovered this, but as an industry I believe that there isn't yet sufficient evidence to state this as more than opinion. My goal with this blog is to provide advice for scaling Agile so as to increase your chances of success.
So, it looks like I have my work cut out for me. My strategy will be to address common questions which I get when working with customers and with internal IBM development teams. I have the privilege to work with a variety of software development teams worldwide, helping them to become more agile. They're all struggling with the same basic issues although don't recognize it because they're too focused on their own situation. So hopefully I'll be able to spread the word about what's actually working in practice.
I hope that you stay tuned.
- Scott[Read More]
ScottAmbler 120000HESD Tags:  agileexec disciplined-agile-deliver... agile agility-at-scale risk rup phases governance 6 Comments 11,111 Views
The explicit phases of the Unified Process -- Inception, Elaboration, Construction, and Transition -- and their milestones are important strategies for scaling agile software development to meet the real-world needs of modern organizations. Yes, I realize that this is heresy for hard-core agilists who can expound upon the evils of serial development, yet these very same people also take a phased approach to development although are loathe to admit it. The issue is that the UP phases are like seasons of a project: although you'll do the same types of activities all throughout a project, the extent to which you do them and the way in which you do them change depending on your goals. For example, at the beginning of a development project if you want to be effective you need to do basic things like identify the scope of the project, identify a viable architecture strategy, start putting together your team, and obtain support for the project. Towards the end of a project your focus is on the activities surrounding the deployment of your system into production, including end-of-lifecycle testing efforts, training, cleaning up of documentation, piloting the system with a subset of users, and so on. In between you focus on building the system, including analysis, design, testing, and coding of it. Your project clearly progresses through different phases, or call them seasons if the term phase doesn't suit you, whether your team is agile or not.
The UP defines four phases, each of which address a different kind of risk:1. Inception. This phase focuses on addressing business risk by having you drive to scope concurrence amongst your stakeholders. Most projects have a wide range of stakeholdres, and if they don't agree to the scope of the project and recognize that others have conflicting or higher priority needs you project risks getting mired in political infighting. In the Eclipse Way this is called the "Warm Up" iteration and in other agile processes "Iteration 0".2. Elaboration. The goal of this phase is to address technical risk by proving the architecture through code. You do this by building and end-to-end skeleton of your system which implements the highest-risk requirements. Some people will say that this approach isn't agile, that your stakeholders should by the only ones to prioritize requirements. Yes, I agree with that, but I also recognize that there are a wide range of stakeholders, including operations people and enterprise architects who are interested in the technical viability of your approach. I've also noticed that the high-risk requirements are often the high-business-value ones anyway, so you usually need to do very little reorganization of your requirements stack.3. Construction. This phase focuses on implementation risk, addressing it through the creation of working software each iteration. This phase is where you put the flesh onto the skeleton.4. Transition. The goal of this phase is to address deployment risk. There is usually a lot more to deploying software than simply copying a few files onto a server, as I indicated above. Deployment is often a complex and difficult task, one which you often need good guidance to succeed at.
Each phase ends with a milestone review, which could be as simple as a short meeting, where you meet with prime stakeholders who will make a "go/no-go" decision regarding your project. They should consider whether the project still makes sense, perhaps the situation has changed, and that you're addressing the project risks appropriately. This is important for "agile in the small" but also for "agile in the large" because at scale your risks are often much greater. Your prime stakeholders should also verify that you have in fact met the criteria for exiting the phase. For example, if you don't have an end-to-end working skeleton of your system then you're not ready to enter the Construction phase. Holding these sorts of milestone reviews improves your IT governance efforts by giving senior management valuable visibility at the level that they actually need: when you have dozens or hundreds of projects underway, you can't attend all of the daily stand up meetings of each team, nor do you even want to read summary status reports.
These milestone reviews enable you to lower project risk. Last Autumn I ran a survey via Dr. Dobb's Journal (www.ddj.com) which explore how people actually define success for IT projects and how successful we really were. We found that when people define success in their own terms that Agile has a 71% success rate compared with 63% for traditional approaches. Although it's nice to that Agile appears to be lower risk than traditional approaches, a 71% success rate still implies a 29% failure rate. The point is that it behooves us to actively monitor development projects to determine if they're on track, and if not either help them to get back on track or cancel them as soon as we possibly can. Hence the importance of occasional milestone reviews where you make go/no-go decisions. If you're interested in the details behind the project, they can be found at http://www.ambysoft.com/surveys/success2007.html .
Done right, phases are critical to your project success, particularly at scale. Yes, the traditional community seems to have gone overboard with phase-based approaches, but that doesn't mean that we need to make the same mistakes. Let's keep the benefit without the cost of needless bureaucracy.[Read More]
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.
I have a young daughter and she's at the age where she wants to dress herself. The problem is that if we pick a single outfit and try to get her to wear it she refuses (I've lost count of the times I've heard "I don't want that"). At the other extreme if we let her pick her own outfit from the closet she'll be there for hours trying everything on. As experienced parents advise what we need to do is present her with two or three choices and ask her to pick what she wants.
So how does this relate to software development? Once again, let's look at extremes. First, consider Scrum's approach of prescribing a single way of doing things. For example, Scrum prescribes that you hold a daily meeting, called a Scrum, where everyone stands up and answers the same 3 questions. Scrum also prescribes a single change management strategy where you have a stack of requirements prioritized by business value. Scrum prescribes three roles - ScrumMaster, Product Owner, and Team Member - as well as other things. Don't get me wrong, these strategies are all great in certain circumstances but not for all. Prescribing one way of doing things is an extreme, so perhaps we shouldn't be surprised when people refuse to do it that way or struggle to make it work given the situation that they face.
At the other extreme consider RUP's approach where it presents repository of techniques from which to select the ones appropriate for you. The problem is that now we have an overwhelming way of doing things from which to choose, all of them good options in certain situations. So why are we surprised when teams struggle to identify a coherent tailoring of RUP?
Now let's consider the middle ground. The Disciplined Agile Delivery (DAD) process decision framework takes a goals-driven approach. So, instead of saying "hold a daily stand up meeting and answer these three questions" it says to regularly coordinate within the team and there are several ways of doing so (hold a Scrum meeting, hold a Kanban-style meeting, and so on). Yes, DAD does provide a large number of techniques to choose from (as does the agile community in general) but it also provides a straightforward way to choose between them. DAD does this by describing the advantages and disadvantages of each technique and suggests when, and when not, to use each approach. When people are presented with viable options, and the trade-offs associated with each, it's much more likely that they'll choose an approach that is better suited for their situation.
Scrum's single prescribed strategy works well only when that strategy is appropriate for the situation at hand. Similarly, telling my daughter exactly what to wear works well only when she's in the mood to wear that outfit. RUP's cafeteria approach to software process works well when you have the expertise, and time, to choose what's best for you. Similarly, asking my daughter to pick out her outfit from all the choices in her closet only works well when I've got a lot of time to wait for her. In both situations a better strategy is to present options, describe the trade offs, and then let people pick what's right for them given the context of the situation that they face. This is exactly what the DAD framework promotes.
I believe the goals-based approach of Disciplined Agile Delivery (DAD) represents an important step forward in the software process realm. It's time to recognize the extremes for what they are and move to a more viable middle ground.