Agility@Scale: Strategies for Scaling Agile Software Development
ScottAmbler 120000HESD Tags:  regulatory-compliance agility-at-scale asm agile 2 Comments 12,234 Visits
One of the scaling factors called out in the Agile Scaling Model (ASM) is “regulatory compliance”. This name is a bit of a misnomer because this scaling factor really addresses two issues: complying to regulations imposed upon you from external sources and choosing to adhere to internal regulations willingly adopted by your organization. It is relatively common for agile teams to find themselves in such situations. For example, in the 2009 Agile Practices Survey one third of respondents said that they were applying agile on projects where one or more industry regulations applied.
First let’s consider external regulatory compliance. In these situations you may face the need to undergo an audit by an external regulatory body with consequences for non-compliance ranging from anywhere to a warning to a fine or even to legal action. Sometimes even a warning may be a grave thing. A few years ago I was working with a pharmaceutical company which had discovered that a warning from the FDA for non-compliance with their CFR 21 Part 11 regulation, when reported in major newspapers, resulted on average in a half-billion dollar loss to their market capitalization as the result of a dip in their stock price. There are financial regulations such as Sarbanes-Oxley and Basel II, informational regulations such as HIPAA which focuses on health information privacy, technical regulations such as ISO 27002 for security practices, and even life-critical regulations such as some of the FDA regulations.
External regulations are typically managed by a government organization or industry watchdog will range in complexity and can have a myriad of effects on project teams. For example, you may need to be able to prove that you had a documented process and that you followed it appropriately; you may need to produce extra artifacts, or more detailed artifacts, than you normally would; you may need to add extra features to your solution, such as tracking financial information, that you wouldn’t have normally implemented; you may need to produce specific reports to be submitted to the regulatory body; or you may even need to submit your team to audits, sometimes scheduled and sometimes not, to ensure regulatory compliance. Interestingly, even though many of those requirements go against the agile grain, the 2009 Agility at Scale Survey found that organizations were successfully applying agile techniques while still conforming to external regulations. So yes, it is possible to scale your agile strategy to address regulatory compliance.
Second, let’s consider compliance to internally adopted, or sometimes even developed, “regulations” which you will be potentially evaluated/appraised against. Perfect examples of these are process improvement frameworks such as CMMI and ISO 900x. Similar to external regulations, the 2009 Agility at Scale Survey found that some agile teams are succeeding in situations where they have chosen to adopt such frameworks. It’s important to note that frameworks such as CMMI aren’t primarily about ensuring the compliance of development teams to a standard process, regardless of what CMMI detractors may claim, but instead about process improvement. Process improvement at the IT department (or beyond) is an enterprise discipline issue from the point of view of ASM, implying that frameworks such as CMMI affect more than one scaling factor.
When you find yourself in a regulatory situation, whether those regulations are imposed or willingly adopted, the best advice that I can give is to read the regulations and develop a strategy to conform to them in the most agile manner possible. If you let bureaucrats interpret the regulations you’ll likely end up with a bureaucratic strategy, but if you instead choose to take a pragmatic approach you will very likely end up with a very practical strategy. Part of that strategy is to treat the regulatory representative(s) within your organization as important stakeholders whom you interact with regularly throughout the project.
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]
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.
My experience is that whole team testing is a very effective strategy, that agile testing and quality strategies in general appear to be far more effective than traditional testing and quality strategies, but that whole team testing isn't the full agile testing picture. At scale, particularly in complex domains, complex technical situations, or in regulatory compliance situations, Disciplined Agile Delivery (DAD) teams will extend whole team testing with a parallel independent test team. Although the development team still does the majority of the testing, the independent test team which is working in parallel to the development team looks for problems which are harder or more difficult for the development team to find and then reports potential defects back to the development team.
The types of testing that the parallel independent test team performs may include:
I'd like to leave you with several important thoughts:
One of the scaling factors called out in the Software Development Context Framework is “geographic distribution". As with the other scaling factors the level of geographic distribution is a range, with co-located teams at one extreme and far-located at the other. When your team is co-located the developers and the primary stakeholders are all situated in the same work room. If you have some team members in cubicles or in separate offices then you're slightly distributed, if you're working on different floors in the same building you're a bit more distributed, if you're working in different buildings within the same geographic area (perhaps your team is spread across different office buildings in the same city or some people work from home some days) then your team is more distributed, if people are working in different cities in the same country you're more distributed, and finally if people are working in different cities around the globe you're even more distributed (I call this far located).
As you would imagine, because the project risk increases the more distributed your team is, the lower the average success rates of agile projects decrease as they become more distributed. The 2008 IT Project Success Survey found that co-located agile teams has an average success rate of 79%, that near located teams (members were in same geographic area) had a success rate of 73%, and that far-located agile teams had a success rate of 55%. The success rate decreases similarly for project teams following other paradigms.
The bottom line is that some organizations, including IBM, have been very successful applying agile techniques on geographically distributed teams. In fact, agile GDD is far more common than mainstream agile discussion seem to let on.
ScottAmbler 120000HESD Tags:  enterprise-discipline enterprise-architecture agility-at-scale agile asm 12,242 Visits
People who are new to agile are often confused about how agile teams address architecture, but luckily we're seeing more discussion around agile architecture now in the community so this problem is slowly being addressed from what I can tell. But, what I'm not seeing enough discussion about, at least not yet, is how is enterprise architecture addressed in the overall agile ecosystem. So I thought I'd share some thoughts on the subject, based on both my experiences over the years (see the recommended resources at the bottom of this posting) as well as on an enterprise architecture survey which I ran in January/February 2010.
My belief is that effective enterprise architecture, particularly in an agile environment, is:
The Agile Scaling Model (ASM) calls out addressing enterprise disciplines, such as enterprise architecture, as one of eight scaling factors which may apply to a given project. The interesting thing about this scaling factor is that it's the only one where things get potentially easier for development teams when we move from the simple approach, having a project focus, to the more complex approach, where we have an enterprise focus. By having a common infrastructure to build to, common guidelines to follow, and valuable artifacts to reuse project teams can benefit greatly. So, I guess my advice is to seriously consider adding enterprise disciplines to your agile strategy.
ScottAmbler 120000HESD Tags:  business-analysis agility-at-scale scaling-agile domain-complexity agile sdcf 10,917 Visits
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,.
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.
Recently Gina Poole blogged about IBM saved $300 million by going agile. That's not too bad when you think about it.
A few days later someone asked a series of questions that I thought would make an interesting blog posting, so here goes:
How much of IBM's projects (in percentage) are agile at the moment?
I don’t have exact numbers, but I believe that 90%+ of our teams in SWG are applying agile techniques in practical ways that make sense for their projects. The primary goal is to be effective – in frequent releases, higher quality, and happy customers – not just agile. By the way, there is roughly 30,000 developers in SWG.
Can all of IBM's projects work with an agile methodology?
It’s certainly possible, but it may not always make sense. Products that are in maintenance mode with few bugs or feature requirements may not benefit as much from agile practices -- those teams will likely continue to do whatever it is that they have been doing. Having said that, it's still highly desirable to apply agile techniques on maintenance projects.
Also, agile methods can be harder to use on some projects than others, for example, around hardware development. As a general rule, I believe that the majority of software projects can benefit from agile techniques. The primary determinant of whether a team can adopt agile techniques is culture and skill – not team size, the domain, or the degree of geographic distribution. That notion surprises many people who think that large agile teams or geographically distributed agile teams can’t succeed in adopting agile practices.
Are agile projects sub-parts of large waterfall projects?
In some cases, that may happen. I’m sure it’s also true in reverse. We see many customers who are migrating from waterfall projects to a more agile way of doing things, and they often start this migration with smaller sub-projects. At IBM, we have tens of thousands of developers worldwide on hundreds of teams, so we have examples of pretty much any combination of agile, iterative, and traditional practices that you can imagine. There’s definitely not one size that fits all, which is a key aspect of the Disciplined Agile Delivery (DAD) process framework.
What do you think the impact of these numbers will be on the PM community?
The IBM PM community is embracing agile. And the reality is that a majority of development organizations around the world are moving to agile now as well (as much as 80% in some of the recent studies I’ve seen). I look forward to the increased adoption of agile methods by the PM community in general. The fact that PMI now offers an Agile Certified Practitioner training program certainly underscores the fact that agile practices are being adopted widely in the mainstream which is a great thing to see.
In November 2011 Paul Gorans, the Accelerated Solution Delivery (ASD) practice lead in IBM GBS, and I ran an agile adoption survey. The survey explored a range of issue, including the factors that appear to be associated with the success and failure of agile project teams. Paul wrote up his thoughts in his Agile State of the Art Survey article on ibm.com and I did the same for Dr Dobb's Journal in Agile Success Factors. This blog posting summarizes the results of the survey.
Factors which appear to accelerate agile adoption include:
Factors which appear to decelerate agile adoption include:
An inhibitor that I run into again and again within organizations that are still in the process of adopting agile development techniques is something that I call the "We're Special" anti-pattern. The people involved believe that their situation is special, that some unique factor in their environment makes it all but impossible to adopt agile techniques, and therefore they need to continue to work in the manner that they've always worked, regardless of the obvious inefficiencies of doing so.
An organization suffers from this agile adoption anti-pattern when they start giving domain-based or technology-based excuses for why they can't become more agile. For example, I've heard bank employees claim that "Agile works fine for building web sites, but we're building financial systems therefore agile won't work for us", telecom employees claim "Agile works fine for building financial systems, but we're building embedded systems therefore agile won't work for us", and government employees claim "Agile works fine for embedded systems, but we're building web sites therefore agile won't work for us." Needless to say I often struggle to not roll my eyes.
The reality is that the business domain that you're working in doesn't dictate your ability to adopt agile strategies. I've seen very successful agile projects in banks, insurance companies, manufacturing companies, retail companies, pharmacueticals (yes, life critical applications), telecoms, and government agencies. I've also met people working in those domains claim that they're special because of the inherent challenges of the domain.
Similarly, technology isn't an issue. I've seen project teams that were successful at applying agile approaches using Java, VB, COBOL, C, Linux, Windows, System Z, on PCs, and so on. Granted, some technology platforms suffer from a plethora of "agile tooling", PL/1 comes to mind and I'm sure that there's a few more niche platforms where this is the case, but with a little online searching it's often possible to find good open source tools out there (or what's stopping you from starting such a project?).
The primary issues around agile adoption are cultural in nature. Can you become more flexible in your thinking? Can you become more disciplined (agile requires greater levels of discipline than traditional approaches)? Can you build a collaborative environment with your business stakeholders? Can you move away from bureaucratic processes to ones which focus on adding real value? Can you invest in your IT staff to give them modern development skills required for test-driven development (TDD), continuous integration, and agile database techniques (to name a few)? Addressing the "people issues", the cultural issues, is the hard part of moving towards agile.
If you're looking for valid excuses for why your organization can't move to agile, here's some valid adoption inhibitors that I see in organizations all the time:
The above list is just the tip of the iceberg. The point is that the real problems that you face are cultural in nature, not domain-based nor technology-based. It is possible to overcome these inhibitors to success, but you need to understand that you're suffering from them, what the implications are, and how to overcome them. This is one of the facets of the Health Assessment portion of our new Measured Capability Improvement Framework (MCIF) service, the goal of which is to help organizations improve their internal IT processes. Although MCIF isn't specifically about becoming more agile, the reality is that there are a lot of great agile practices out there, and some of them are good options for your organization. Assuming of course you get over your misconception that you're special for some reason and instead accept the need that you've got some hard slogging ahead of you to improve your IT game.
ScottAmbler 120000HESD Tags:  agileadopt disciplined-agile-deliver... training 1 Comment 10,340 Visits
I'm happy to announce that IBM Rational's RP252 Advanced Disciplined Agile Delivery (DAD) workshop is now available. This is a 3-day, hands-on workshop which teaches students the fundamentals of Disciplined Agile Delivery (DAD). This workshop is offered both publicly and privately.
ScottAmbler 120000HESD Tags:  acceleration governance agileexec metrics velocity 5 Comments 27,852 Visits
A common goal of IT governance is to determine the productivity of various techniques, tools, and people as part of the overall effort to improve said productivity. If you can easily measure productivity you can easily identify what is working for you in given situations, or what is not working for you, and adjust accordingly. A common question that customers ask me is how do you measure productivity on agile teams. Although you could use traditional strategies such as function point (FP) counting, or another similar strategy, this can require a lot of effort in practice. Remember that we don't only want to measure productivity, we want to do so easily. Ideally it would be nice to do so using information already being generated by the team and therefore we won't add any additional bureaucratic overhead.
A common metric captured by agile teams is their velocity. Velocity is an agile measure of how much work a team can do during a given iteration. At the beginning of an iteration a team will estimate the work that they're about to do in terms of points. At the beginning of a project the team will formulate a point system, which typically takes a few iterations to stabilize, so that they can consistently estimate the work each iteration. Although the point system is arbitrary, my team might estimate that a given work item is two points worth of effort whereas your team might think that it's seven points of effort, the important thing is that it's consistent. So if there is another work item requiring similar effort, my team should estimate that it's two points and your team seven points. With a consistent point system in place, each team can accurately estimate the amount of work that they can do in the current iteration by assuming that they can achieve the same amount of work as last iteration (an XP concept called "yesterday's weather"). So, if my team delivered 27 points of functionality last iteration we would reasonably assume that we can do the same this iteration.
So, is it possible to use velocity as a measure of productivity? The answer is not directly. For example, we have two teams, A and B, each of 5 people and each working on a web site and each having two-week long iterations. Team A reports a velocity of 17 points for their current iteration and team B a velocity of 51 points. They're both comprised of 5 people, therefore team B must be three times (51/17) as productive as team A. No! You can't compare the velocity of the two teams because they're measuring in different units. Team A is reporting in their points and B in their points, so you can't compare them directly, The traditional strategy would be to ask the teams to use the same unit of points, which might be a viable strategy with two teams although likely not if you have twenty agile teams and particularly not if you have two hundred teams. Regardless of the number of teams that you have it would minimally require some coordination to normalize the units and perhaps even some training and development and support of velocity calculation guidelines. Sounds like unnecessary bureaucracy that I would prefer to avoid. Worse yet, so-called "consistent" measurements such as FPs are anything but because there's always some sort of fudge factor involved in the process which will vary by individual estimator.
An easier solution exists. Instead of comparing velocities you instead calculate the acceleration of each team. For example, consider the reported velocities of each team below. Team A's velocity is increasing over time whereas team B's velocity is trending downwards. All things being equal, you can assume that team A's productivity is increasing whereas B's is decreasing. Of course it's not wise to manage simply by the numbers, so instead of assuming what is going on I would rather go and talk with the people on the two teams. Doing so I might find out that team A has adopted quality-oriented practices such as continuous integration and static code analysis which team B has not, indicating that I might want to help team B adopt these practices and hopefully increase their productivity.
Team A: 17 18 17 18 19 20 21 22 22 ...Team B: 51 49 50 47 48 45 44 44 41 ...
There are several advantages to using acceleration as an indicator of productivity over traditional techniques such as FP counting:1. It's easy to calculate. For example, the acceleration of team A from iteration 1 to iteration 6 is (20-17)/17 = 0.176 whereas for team B it is (45-51)/51 = -.118. Of course, you don't need to calculate the acceleration over such a long period of time, you could do it iteration by iteration, although I find that doing it over several iterations gives a more accurate value. You'll need to experiment to determine what works for you.2. It is inexpensive. Acceleration is based on information already being collected by the team, their velocity, so there is no extra work to be done by the team. 3. It is unlikely to be gamed. Teams aren't motivated to fake their velocity because it provides them with important information required to manage themselves effectively. 4. It is easy to automate. For example, Rational Team Concert (RTC) calculates velocity automatically from its work item list (an extension of Scrum's product backlog) and does trend reporting via it's web-based project reporting functionality, providing a visual representation of the team's acceleration (or deceleration as the case may be).5. It offers the opportunity for more effective governance. This approach reflects three of the practices of Lean Development Governance: Simple and Relevant Metrics, Continuous Project Monitoring, and Integrated Lifecycle Environment.6. You can easily adjust for changing team size. If the size of a team varies over time, and it will, this metric falls apart the way that I've described it. To address this issue you need to normalize it by dividing by the number of people on the team to get the average acceleration per team member.7. You can easily monetize this metric. By knowing the acceleration of the project team and knowing how much they're spending each iteration, you can estimate the amount of money you're saving through process improvement. For example, if you're spending $100,000 per iteration and your acceleration is 2%, your cost savings is $2,000 per iteration.
Of course, nothing is perfect, and there are a few potential disadvantages:1. It is an indirect measure of productivity. Truth be told velocity really is a productivity measure, it's just that because it's measured in different units it's difficult to compare between teams. Acceleration is merely an indicator of the change in productivity.2. You actually need to measure what you're interested in. When you step back and think about it, you're not really interested in measuring your productivity, regardless of what the metrics wonks have been telling you the past few decades. In this case what you really want to know is your change in productivity because your real goal is to improve your productivity over time, which is what acceleration actually measures.3. Management must be flexible. For this to be acceptable senior management must be willing to think outside the "traditional metrics box". Using a non-standard, simple metric to calculate productivity? Preposterous! Directly measuring what you're truly interested in instead of calculating trends over long periods of time? Doubly preposterous!4. Your existing measurement program may be questioned. Once management learns how easy it can be to obtain metrics which enables them to truly govern software development projects they may begin to question the investment that they've made in the past in overly complex and expensive metrics schemes. This can be dangerous for the metrics professionals in your organization, particularly if your metrics group doesn't have valid measurements around the value of their own work. Ummmmm....5. The terminology sounds scientific. Terms such as velocity and acceleration can motivate some of us to start believing that we understand the "laws of IT physics", something which I doubt very highly that as an industry we understand. All it would take is for someone to start throwing around terms like "standard theory" and "unified model" and we'd really be in trouble. Wait a minute..... ;-)
In summary, measuring the acceleration of development teams is an easy to collect, straightforward measure of team productivity. I hope that I've given you some food for thought, and would be eager to hear about your experiences applying this metric in practice.
ScottAmbler 120000HESD Tags:  scaling-agile gdd scrum sdcf book-review agility-at-scale 11,902 Visits
I'm happy to announce that A Practical Guide to Distributed Scrum by Elizabeth Woodward, Steffan Surdek, and Matthew Ganis is now in print. I've been talking this book up in presentations and with customers the past few months and promised that I would let everyone know once it was available. I was one of several people who wrote forewords for the book, Ken Schwaber, Roman Pichler, and Matthew Wang also did so, and I've modified my foreword below to help you to understand a bit better what the book is about.
You are invited to participate in my 2010 IT Project Success survey (http://www.surveymonkey.com/s/StateOfITUnion). The goal of this survey series is to find out how we define IT project success in practice and how successful our projects actually are. The survey should take you about 5 minutes to complete, and your privacy will be completely protected.
At the end of the survey you will be given the chance to be entered into a draw for one of 10 copies of Reflections on Management: How to Manage Your Software Projects, Your Teams, Your Boss, and Yourself by Watts Humphrey and William R. Thomas published in April 2010 by Addison Wesley. I'm reading it right now and it's a really great book.
This is an open survey, so the source data (without identifying information to protect your privacy), a summary slide deck, and the original source questions will be posted at www.ambysoft.com/surveys/ so that others may analyze the data for their own purposes. Data from previous surveys have been used by university students and professors for their research papers, and hopefully the same will be true of the data from this survey. The results from several other surveys are already posted there, so please feel free to take advantage of this resource.
Thank you very much for taking your valuable time to fill out this survey.
ScottAmbler 120000HESD Tags:  agile enterprise-agile disciplined-agile-deliver... 3 Comments 9,305 Visits
A fair question to ask is why should your organization consider adopting the Disciplined Agile Delivery (DAD) process framework. I believe that there are several clear benefits to doing so:
In short, DAD provides a lot of proven advice culled from years of experience applying agile software techniques in enterprise-class environments. Instead of figuring all of this stuff out on your own, why not jump ahead and leverage the hard-won lessons learned from other organizations that have already dealt with the challenges that you're struggling with today?
The primary shortcoming of the DAD framework is it makes it very clear that software development, oops I mean solution delivery, is quite complex in practice. As IT practitioners we inherently know this, but it seems that we need to be reminded of this fact every so often. DAD doesn't provide a simplistic, feel-good strategy that you can learn in a few hours of training. Instead it defines a coherent, tailorable strategy that reflects the realities of enterprise IT.
There is a wealth of information at DAD posted at the Disciplined Agile Delivery (DAD) web site and great discussions occuring on the DAD LinkedIn discussion forum. For those of you interested in agile certification, the Disciplined Agile Consortium site will prove valuable too, in particular the list of upcoming DAD workshops provided by several IBM partners. And of course the book Disciplined Agile Delivery: A Practitioner's Guide to Agile Software Delivery in the Enterprise (IBM Press, 2012) written by Mark Lines and myself is a very good read.