My new white paper, Disciplined Agile Delivery: An Introduction
, is now available free of charge from IBM.com. The paper overviews the Disciplined Agile Delivery (DAD) process framework, a hybrid comprised of strategies from Scrum, XP, Agile Modeling, and other agile methods which is people first, learning oriented, and enterprise aware. DAD is the basis from which you can scale agile.
- Context counts - The Agile Scaling Model
- People first - People, and the way they interact with each other, are the primary determinant of success for a solution delivery project.
- Learning-oriented - The DAD process framework promotes the ideas that team members should collaborate closely and learn from each other, that the team should invest effort to learn from their experiences and evolve their approach, and that individuals should do so as well.
- Hybrid - DAD adopts and tailors strategies from Scrum, XP, Agile Modeling, UP, Kanban, and many others. It addresses many of the issues Mark Kennaley discusses in SDLC 3.0.
- IT solution focused - DAD teams produce potentially consumable solutions every construction iteration. This extends Scrum's "potentially shippable" strategy to explicitly address usability/consumability plus the fact that we're really delivering full solutions not just software.
- Goal-driven delivery life cycle - The DAD lifecycle is focused on delivery, not just construction. Furthermore it is goals-driven, the DAD process framework suggests various strategies to fulfill those goals but does not prescribe specific practices.
- Risk and value driven - The DAD lifecycle is risk and value driven. It extends Scrum's value-driven lifecycle which produces potentially shippable software each sprint/iteration so that it explicitly includes light-weight milesstones such as ensuring stakeholder consensus as to the scope of the project early in the lifecycle, proving the architecture with working code early in the lifecycle, ensuring sufficient functionality exists before transition, and ensuring production readiness before actual release of the solution.
- Enterprise aware - The DAD process framework promotes the ideas that DAD teams should work closely with their enterprise architecture groups to ensure they leverage and evolve the existing infrastructure, adopt and follow corporate guidelines, and work to the overall organizational vision. DAD teams are self organizing with appropriate governance.
For some reason, it seems as if everyone's grandfather at one point in time recommended to use the right tools for the job. That's practical wisdom from my point of view, one that is certainly an issue for agile development.
One of the primary messages, I hope, of the Agile Scaling Model (ASM)
is that context counts. Although the focus of the ASM is on describing a contextual framework for tailoring your process to meet the needs of the situation that you find yourself in, it's also applicable to your tooling selection. For example, the tool choices of a co-located team will be much different than that of a geographically distributed team. A co-located team will likely use a whiteboard
or paper for their agile modeling
efforts, whereas distributed team members may need to capture their diagrams using a more sophisticated tool such as Rational Requirements Composer (RRC)
so that their work can be shared electronically. Having said that, RRC would be overkill for a co-located team (unless they had regulatory compliance issues). Different teams, different situations, therefore different tooling choices.
One of the concerns that I run into from customers is that some of our legacy products don't support agile very well. Once again, it's a matter of context because many of our legacy products reflect the realities faced by more traditional teams. The challenge occurs when you try to take a legacy product which is well suited for traditional development, such as Rational ClearCase
, and try to apply it on agile projects. Although ClearCase makes sense in certain scaling situations, particularly very large teams that are geographically distributed, you'd be better advised to use something like Rational Team Concert (RTC)
for configuration management on most agile teams (note that RTC does far more than just SCM).
So, if you're taking an agile approach you should consider Rational tools such as RTC, RRC, Rational BuildForge
, Rational AppScan
, and others which support agile
development. Granted, some you would only use at scale -- for example Buildforge is a good option in really complex environments, but if you don't face that complexity then you'll likely find that RTC's build engine is sufficient. Similarly, if you're taking a traditional approach to development then you'll likely consider products such as ClearCase, Appscan, RTC, and Rational Software Architect (RSA)
instead. Different situations, different tooling choices.
What's even more confusing is that some products support a range of process paradigms. For example, RTC supports agile, lean, iterative, and traditional approaches to development. The same can be said of Appscan and several other products. Notice how I listed RTC and Appscan for both agile and traditional development above.
So, if anyone tells you that Rational tools don't support agile development don't believe them. Ask them which tools that they're talking about, and ask them if they're aware of the Rational products that do support agile development. Context counts.
There is a distinct rhythm, or cadence, at different levels of the agile process. We call this the agile 3C rhythm, for coordinate, collaborate, and conclude (which is sometimes called stabilize). The agile 3C rhythm occurs at three levels in Disciplined Agile Delivery (DAD):
- Day. A typical day begins with a short coordination meeting, called a Scrum meeting in the Scrum method. After the daily coordination meeting the team collaborates throughout most of the day to perform their work. The day concludes with a working build, hopefully you had several working builds throughout the day, which depending on your situation may require a bit of stabilization work to achieve.
- Iteration. DAD construction iterations begin with an iteration planning session (coordinate) where the team identifies a detailed task list of what needs to be done that iteration. Note that iteration modeling is often part of this effort. Throughout the iteration they collaborate to perform the implementation work. They conclude the iteration by producing a potentially consumable solution, a demo of that solution to key stakeholders, and a retrospective to identify potential improvements in the way that they work.
- Release. The DAD lifecycle calls out three explicit phases - Inception, Construction, and Transition – which map directly to coordinate, collaborate, and conclude respectfully.
The agile 3C rhythm is similar conceptually to Deming’s Plan, Do, Check, Act (PDCA) cycle:
- Coordinate maps to plan
- Collaborate maps to do
- Conclude maps to check and act
There is a fair bit of rhetoric surrounding agile methods, some of which we subscribe to and some of which we don’t. We’d like to briefly examine the rhetoric which we’ve found to be the most misleading for people trying to be effective at adopting agile techniques. The following list is in the format X but Y, where X is the rhetoric and Y is the strategy promoted by the Disciplined Agile Delivery (DAD) process framework. This includes:
- Requirements evolve throughout the lifecycle BUT the scope should still be agreed to at the beginning of the project. There has to be an initial vision for a project, a vision which your stakeholders should help define and then agree to, and to come to that vision you will need to perform some initial requirements envisioning. A list of high level features is part of this initial vision. Yes, the details are very likely to evolve over time but the fundamental goals of your project and scope of your effort needs to be defined early in your project. In a very small minority of situations you may not be able to get the right people together, either physically or virtually, to define the initial vision – this should be seen as a significant project risk.
- Simple designs are best BUT the architecture should be thought out early in the lifecycle. Too many developers interpret the advice to focus on simple designs to mean that they should build everything from scratch. Yet more often than not the simplest design is to take advantage of what is already there, and the best way to do that is to work closely with people who understand your existing technical infrastructure. Investing in a little bit of architectural envisioning early in the lifecycle enables your team to identify existing enterprise assets that you can leverage, to identify your architectural options, and to select what appears to be the best option available to you. The details will still emerge over time, and some decisions will be deferred until a later date when it’s more appropriate to make them, but the bottom line is that disciplined agilists think before they act.
- Teams should be self organizing BUT they are still constrained (and enhanced) by your organizational ecosystem. Intellectual workers, including IT professionals, are most effective when they have a say in what work they do and how they do it. IT professionals can improve their productivity by following common conventions, leveraging and building out a common “dev-ops” infrastructure, building towards a common vision, and by working to common business and technical visions. In short, disciplined agile professionals are "enterprise aware".
- Delivery teams don’t need prescriptive process definitions BUT they do need some high-level guidance to help organize their work. Individual IT professionals are typically highly-skilled and highly-educated people often with years of experience, and teams of such people clearly have a wide range of knowledge. As a result of this knowledge it is incredibly rare for such people to read detailed procedures for how to do their work. However, they often still require some high-level advice to help them to organize their work effectively. Teams can often benefit from techniques and patterns used by other teams and this knowledge sharing should be encouraged.
- IT professionals know what to do BUT they’re still not process experts. A decade ago the strategy was to provide detailed process advice to teams, but recently the pendulum has swung the other way to provide little or no defined process at all. Over the last few years there’s been a trend within the agile community to advise teams to define their own process so that it’s tailored to their own unique situation. While this clearly strokes people’s egos, it’s relatively poor advice for several reasons. First, although every team is in a unique situation there is significant commonality so having at least a high-level process framework from which to start makes sense. Second, although these teams have a wide range of knowledge it might not be complete, nor consistent, nor is it clear what the trade-offs are of combining all the really good techniques that people know about. There is significant benefit in having a flexible process framework such as DAD which shows how everything fits together.
- IT professionals should validate their own work to the best of their ability BUT they likely aren’t testing experts so therefore need help picking up the appropriate skills. The mantra in the agile community is to test often and test early, and better yet to test first. As a result agile teams have adopted a “whole team” approach where the development team does its own testing. This works when there are people on the team with sufficient testing skills and more importantly can transfer those skills to others. Minimally you will need to embed testers into your delivery teams, but you should also consider explicit training and mentoring of everyone on the team in testing and quality skills. You may find my agile testing and quality strategies article to be an interesting read.
- Disciplined agile teams work in an iterative manner BUT still follow a lifecycle which is serial over time. On any given day people on a DAD project team may be performing analysis, testing, design, programming, deployment, or a myriad of other activities and iterating back and forth between them. But, the DAD lifecycle includes three distinct phases which are performed in order. So, DAD is both iterative in the small but serial in the large.
Modified by ScottAmbler
IBM Rational recently published an update to my Agility@Scale e-book, which can be downloaded free of charge. The e-book is a 21 page, 2.3 meg PDF (sorry about the size, guess the graphics did it) . It overviews the Agile Scaling Model (ASM) (which has since been replaced by the Software Development Context Framework (SDCF) ), Disciplined Agile Delivery (DAD), the scaling factors of agility at scale, and ends with some advice for becoming as agile as you can be. In short it's a light-weight coverage of some of the things I've been writing about in this blog the past couple of years. Could be a good thing to share with the decision makers in your organization if they're considering adoption agile strategies.
When it comes to testing on agile projects it is common practice for agile teams to adopt a "whole team testing
" approach where the team itself does its own testing. To accomplish this agile teams will often embed testers in the development team. Programmers will work closely with the testers, often via non-solo development
strategies such as pair programming, to pick up their valuable testing skills. The testers will in turn pick up new skills from the programmers, and in effect both groups will move away from being just specialists (testers or programmers) to being what's called generalizing specialists
. Whole team testing can be very different from traditional approaches where programmers may do some testing, often unit testing of their own code, and then throw it over the wall to testers and quality assurance (QA) professionals for verification and validation.
The types of testing that the parallel independent test team performs may include:
Pre-production system integration testing. Does the solution work within your overall organizational ecosystem? Importantly, if this is one of several teams currently developing new solutions, does this team's solution work with what will be in production (including the work in progress of other teams) when they go to release? In mid-to-large organizations the only economical way to do this sort of testing is via an independent, centralized team.
. Although it's possible to do usability testing on the development team, the reality is that usability testing is a specialized skill that few people have (although could pick up via non-solo development). Furthermore, particularly for solutions with many potential users, you may want to invest in a usability testing
lab. This is a centralized resource, or an outsourced resource these days, which is shared across many teams.
. Security testing is also a specialized skill, albeit one well supported with sophisticated security testing tools such as the Rational Appscan
suite which can be included in your continuous integration (CI) strategy. Many organizations will centralize their security testing efforts.
Exploratory testing. The fundamental goal of exploratory testing is to discover where the solution breaks, as opposed to confirmatory testing which focuses on showing that the solution conforms to the requirements (this is the type of testing the development team typically focuses on). Exploratory testing is also a skill, a good one which everyone should strive to pick up, but exploratory testers are often few in number in many organizations. So, to leverage their skills effectively you may want to have some of them on the independent test team while they mentor others while doing so.
Non-functional testing. Non-functional requirements have a tendency to fall through the cracks on some development teams. Knowing this the independent test team will often "test to the risk" and focus on non-functional issues.
And much more. The above points are just exemplars, not an exact list. Please follow some of the links above for greater detail.
I'd like to leave you with several important thoughts:
The developers still do the majority of the testing. Just because there's an independent test team it doesn't imply that they are the ones doing all the testing. In fact, nothing could be further from the truth. They should be doing the minority of the testing effort, albeit the more difficult forms of it.
An independent test team will support multiple dev teams. For example, a test team of 5-6 people could support several development teams totalling 70 to 80 people. I typically look for a 15:1 or 20:1 ratio of developers to independent testers, hopefully even higher than that.
- You need to consider better tooling. Although the development team will still be using common agile testing tools such as the xUnit and FIT frameworks the independent test team (ITT) will need more sophisticated tooling. First, the ITT will need to be able to report defects back to the team easily. When the development team is using a Jazz-based tool such as Rational Team Concert (RTC) then this can easily be done using either RTC (the web interface may be sufficient) or another Jazz-enabled product such as Rational Quality Manager (RQM). Second, the ITT will likely need more sophisticated testing tools, such as Rational Appscan for static and dynamic security testing and Rational Performance Tester (RPT) for performance testing (just two of several software quality management tools you should consider).
Independent testing is economical. Although I listed several tools in my previous point (hey, I do work for a vendor after all) an "unfortunate" implication of my advice (unfortunate for IBM at least) is that you can reduce the number of licenses that you require and still get this critical testing done by centralizing their use.
It may be a bit more complicated in regulatory environments. In a strict regulatory environment the independent test team may need to repeat, or at least validate, the testing efforts of the development team. In regulatory environments my fundamental advice is always this -- Have practical people, including yourself, read and interpret the regulations. If you leave it to the bureaucrats you'll get a bureaucratic solution.
This is an important scaling technique. Parallel independent testing, when done in an agile manner, is an important technique which you should consider when scaling agile strategies to meet the uniques needs of the situation that you find yourself in.
Modified by ScottAmbler
This article has been replaced by an official "Disciplined Agile Manifesto".
The text of the original article remains below.
I've recently been working with Mark Lines of UPMentors and we've had some interesting discussions around evolving the Agile Manifesto which I thought I would share here to obtain feedback. Note that this is not any sort of official position of IBM, nothing in my blog is by the way (unless explicitly stated so), nor is it some sort of devious plot to take over the agile world (although if we did have some sort of devious plot, we'd make the exact same claim). What we hope to accomplish is to put some ideas out there in the hopes of getting an interesting conversation going.
Over the past decade we’ve applied the ideas captured in the Agile Manifesto and have learned from our experiences doing so. What we’ve learned has motivated us to suggest changes to the manifesto to reflect the enterprise situations which we have applied agile and lean strategies in. We believe that the changes we’re suggesting are straightforward:
Where the original manifesto focused on software development, a term which too many people have understood to mean only software development, we suggest that it should focus on solution delivery.
Where the original focused on customers, a word that for too many people appears to imply only the end users, we suggest that it focus on the full range of stakeholders instead.
Where the original manifesto focused on development teams, we suggest that the overall IT ecosystem and its improvement be taken into consideration.
Where the original manifesto focused on the understanding of, and observations about, software development at the time there has been some very interesting work done within the lean community since then (and to be fair there was very interesting work done within that community long before the Agile Manifesto was written). We believe that the Agile Manifesto can benefit from lean principles.
Our suggested rewording of the Agile Manifesto follows, with our suggested changes in italics.
Updating the Values of the Agile Manifesto
We are uncovering better ways of developing software by doing it and helping others do it. Through this work we have come to value:
Individuals and interactions over processes and tools
Working solutions over comprehensive documentation
Stakeholder collaboration over contract negotiation
Responding to change over following a plan
That is, while there is value in the items on the right, we value the items on the left more.
Updating the Principles behind the Agile Manifesto
Our highest priority is to satisfy the customer through early and continuous delivery of valuable solutions.
Welcome changing requirements, even late in the solution delivery lifecycle. Agile processes harness change for the stakeholder’s competitive advantage.
Deliver working solutions frequently, from a couple of weeks to a couple of months, with a preference to the shorter timescale.
Stakeholders and developers must work together daily throughout the project.
Build projects around motivated individuals. Give them the environment and support they need, and trust them to get the job done.
The most efficient and effective method of conveying information to and within a delivery team is face-to-face conversation.
Quantified business value is the primary measure of progress.
Agile processes promote sustainable development. The sponsors, developers, and users should be able to maintain a constant pace indefinitely.
Continuous attention to technical excellence and good design enhances agility.
Simplicity--the art of maximizing the amount of work not done--is essential.
The best architectures, requirements, and designs emerge from self-organizing teams.
At regular intervals, the team reflects on how to become more effective, then tunes and adjusts its behavior accordingly.
Leverage and evolve the assets within your organizational ecosystem, and collaborate with the people responsible for those assets to do so.
Visualize workflow to help achieve a smooth flow of delivery while keeping work in progress to a minimum.
The organizational ecosystem must evolve to reflect and enhance the efforts of agile teams, yet be sufficiently flexible to still support non-agile or hybrid teams.
We’re agile – things evolve, including manifestos. Looking forward to your feedback (add a comment).
Updates Since this Was First Published:
Modified by ScottAmbler
One of the scaling factors called out in the Software Development Context Framework (SDCF) is domain complexity. The general idea is that agile teams will find themselves in different situations where some teams are developing fairly straightforward solutions, such as an informational website, whereas others are addressing very complex domains, such as building an air-traffic control system (ATCS). Clearly the team building an ATCS will work in a more sophisticated manner than the one building an informational website. I don't know whether agile techniques have been applied in the development of an ATCS, although I have to think that agile's greater focus on quality and working collaboratively with stakeholders would be very attractive to ATCS delivery teams, I do know that agile is being applied in other complex environments: The 2009 Agility at Scale Survey found that 18% of respondents indicated that their organizations had success at what they perceived to be very complex problem domains,.
Increased domain complexity may affect your strategy in the following ways:
Reaching initial stakeholder consensus becomes difficult. One of the risk reduction techniques called out in Disciplined Agile Delivery (DAD) is to come to (sufficient) stakeholder consensus at the beginning of the project during the Inception phase (called Sprint 0 in Scrum or Iteration 0 in other agile methods). Stakeholder consensus, or perhaps "near concensus" or "reasonable agreement" are better terms, can be difficult to come to the more complex the problem domain is because the stakeholders may not fully understand the implications of what they're making decisions about and because there is likely a greater range of stakeholders with differing goals and opinions. The implication is that your project initiation efforts may stretch out, increasing the chance that you'll fall back on the old habits of big requirements up front (BRUF) and incur the costs and risks associated with doing so.
Increased prototyping during inception. It is very common for disciplined agile teams to do some light-weight requirements envisioning during inception to identify the scope of what they're doing and to help come to stakeholder consensus. The greater the complexity of the domain, and particularly the less your team understands about the domain, the more likely it is that you'll benefit from doing some user interface (UI) prototyping to explore the requirements. UI prototyping is an important requirements exploration technique regardless of paradigm, and it is something that you should consider doing during both initial requirements envisioning as well as throughout the lifecycle to explore detailed issues on a just in time (JIT) manner.
Holding "all-hands reviews". One strategy for getting feedback from a wide range of people is to hold an "all hands review" where you invite a large group of people who aren't working on a regular basis with your team to review your work to date. This should be done occasionally throughout the project to validate that the input that you're getting from your stakeholder represenatives/product owners truly reflects the needs of the stakeholders which they represent. The 2010 How Agile Are You? Survey found that 42% of "agile teams" reported running such reviews.
Increased requirements exploration. Simple modeling techniques work for simple domains. Complex domains call for more complex strategies for exploring requirements. The implication is that you may want to move to usage scenarios or use cases from the simpler format of user stories to capture critical nuances more effectively. A common misunderstanding about agile is that you have to take a "user story driven approach" to development. This is an effective strategy in many situations, but it isn't a requirement for being agile.
The use of simulation. You may want to take your prototyping efforts one step further and simulate the solution. This can be done via concrete, functional prototypes, via simulation software, via play acting, or other strategies.
Addition of agile business analysts to the team. Analysis is so important to agile teams we do it every day. In situations where the domain is complex, or at least portions of the domain is complex, it can make sense to have someone who specializes in exploring the domain so as to increase the chance that your team gets it right. This is what an agile business analyst can do. There are a few caveats. First, even though the domain is complex you should still keep your agile analysis efforts as light, collaborative, and evolutionary as possible. Second, this isn't a reason to organize your team as a collection of specialists and thereby increase overall risk to your project. The agile analyst may be brought on because their specialized skills are required, but the majority of the people on the team should still strive to be generalizing specialists. This is also true of the agile analyst because their may not be eight hours a day of valuable business analysis work on the team, and you don't want the BA filling in their time with needless busy work.
The important thing is to recognize that the strategies which work well when you're dealing with a simple domain will not work well for a complex domain. Conversely, techniques oriented towards exploring complex domains will often be overkill for simple domains. Process and tooling flexiblity is key to your success.
- Does the team regularly produce value for their stakeholders?
- Does the team validate its own work to the best of its ability?
- Are stakeholders actively involved?
- Is the team self organizing?
- Does the team strive to improve their process?
Some interesting results include:
94% of teams which are claiming to be agile are providing value to stakeholders on a regular basis.
87% of teams which are claiming to be agile are validating their own work.
95% of teams which are claiming to be agile are working closely with stakeholders.
56% of teams which are claiming to be agile are self organizing.
88% of teams which are claiming to be agile are improving the process that they follow throughout the lifecycle.
Teams which are claiming to be agile often aren't. 53% of "agile teams" meet the five criteria, although 72% meet all but the self-organization criteria.
Teams which are moving towards agile but aren't there yet are reasonably close. 39% of those teams meet all five criteria and 63% meet all but self-organization.
I believe that there are several important implications:
- Whenever someone claims to be on an agile team you may want to explore that claim a bit deeper.
The low level of self organization may be an indicator of cultural challenges with organizations in that their project managers aren't giving up sufficient control. The Agility at Scale survey
in November 2009 found that 59% of respondents who indicated that their organization hadn't adopted agile techniques yet that a rigid culture was hampering their efforts. The IT Governance and Project Management
survey in July 2009 discovered that "questionable behaviors", many of which were ethically questionable (I'm being polite), were far too common within IT project management.
Although "agile teams" may not be as agile as they claim, they're still doing better than traditional V-model teams, as revealed (again) by the 2010 IT Project Success
If there was some sort of consensus within the agile community as to the criteria for determining whether a team is agile, I highly suspect that the agileness ratings would increase over time. What gets measured often improves.
However, how agile you are isn't anywhere near as important as getting better at what you're doing. So perhaps I'm barking up the wrong tree on this issue. ;-)
One of the scaling factors
of the Agile Scaling Model (ASM)
is technical complexity.
The fundamental observation is that the underlying technology of solutions varies and as a result your approach to developing a solution will also need to vary.
It’s fairly straightforward to achieve high-levels of quality if you’re building a new system from scratch on a known technology platform, but not so easy when there are several technologies, the technologies are not well known, or legacy assets are involved.
There are several potential technical complexities which a Disciplined Agile Delivery (DAD) team may face:
- New technology platforms. Your team may choose to work with a technology platform which is either new to the team or sometimes even new to the industry. In the past few years new technology platforms include the Android operating system, Apple’s iPad platform, and various cloud computing (http://www.ibm.com/ibm/cloud/) platforms. Working with these platforms may require you to adopt new development tools and techniques, not to mention the need to train and mentor your staff in their usage. Furthermore, your team may need to allocate time for architectural spikes to explore how to use the new technology and to prove the overall architecture with working code early in the project lifecycle (this is a DAD milestone).
- Multiple technology platforms. IT solutions often run on multiple platforms. For example, a system’s user interface (UI) could run in a browser, access business logic implemented using J2EE on Websphere which in turn invokes web services implemented in COBOL running on a Z-series mainframe, and stores data in an Oracle database, a DB2 database, and in several XML files. Implementing new business functionality, or updating existing functionality, could require changes made on several of these platforms in parallel. The implication is that you’ll need to adopt tools and strategies which enable your team to develop, test, and deploy functionality on all of these platforms. Testing and debugging in particular will become more difficult as the number of technology platforms increases, potentially requiring you to adopt the practice of parallel independent testing. The Agility at Scale survey found that 34% of respondents indicated that their agile teams were working with multiple technology platforms.
- Legacy data. IT solutions should leverage existing, legacy data wherever possible to reduce the number of data sources and thereby increase data quality within your organization. Also, using existing data sources can potentially speed up development, assuming your team has a good relationship with the owners of the legacy data sources (sadly, this often isn’t the case as the Data Management Survey found). Working with legacy data sources may require improved database regression testing, practices, database refactoring practices, and agile approaches to data administration. The Agility at Scale survey found that 42% of respondents indicated that their agile teams were working with legacy data sources (personally, I’m shocked that this figure is so low, and fear that many agile teams are contributing to data quality problems within their organization as a result).
- Legacy systems. There are several potential challenges with legacy systems. First, the code quality may not be the best either because it was never really that good to begin with or because it’s degraded over the years as multiple people worked with it. You know you’ve got a quality problem if you’re either afraid to update the code or if when you do so you have to spend a lot of time debugging and then fixing problems revealed when doing the update. If the legacy system is a true asset for your organization you will want to pay off some of this technical debt by refactoring the code to make it of higher quality. Second, you may not have a full regression test suite in place, making it difficult to find problems when you do update the code let alone when you refactor it. Third, your development tools for your legacy code may be a bit behind the times. For example, I often run across mainframe COBOL developers still working with basic code editors instead of modern IDEs such as Rational Developer for System Z. Some of the strategies to deal effectively with legacy systems are to adopt a modern development toolset if you haven’t already done so (better yet, if possible adopt a common IDE across platforms and thereby reduce overall licensing and support costs) and to adopt agile practices such as static code analysis, dynamic software analysis, and continuous integration (CI). The Agile Project Initiation Survey found that 57% of respondents were integrating their new code with legacy systems and 51% were evolving legacy systems.
- Commercial off-the-shelf (COTS) solutions. COTS solutions, also called package applications, can add in a few complexities for agile teams. The packages rarely come with regression test suites, they often have rules about what you can modify and what you shouldn’t (rules that are ignored at your peril), and they’re often architected with the assumption that they’re the center of the architectural universe (which is a valid assumption if they’re the only major system within your organization). As I describe in my article Agile Package Implementations it is possible to take an agile approach to COTS implementations, although it may require a significant paradigm shift for the people involved. The Agility at Scale survey found that 15% of respondents indicated that their agile teams were working with COTS solutions.
- System/embedded solutions. For the sake of simplicity, if your team is developing a solution with both hardware and software aspects to it then you’re a systems project. Embedded systems are a specialization where the system has a few dedicated functions often with real-time constraints. Bottom line is that systems/embedded projects are typically more challenging than software-only projects – it gets really interesting when laws of physics starts to kick in, such as when you’re building satellites or space probes. I highly suggest Bruce Douglass’s book Real-Time Agility if you are interested in taking an agile approach to systems/embedded solution delivery.
The technical complexity faced by a project team is contextual – Working with four technology platforms is straightforward for someone used to dealing with seven, but difficult for someone used to dealing with just one. Recommended Reading: