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Yuval Yeret

Creating an Agile Culture to Drive Organizational Change - 1 views

  • It is critical that everyone has the same understanding of, and commitment to, the desired outcome: a business that is reliable through predictable technology processes that deliver business agility. To do this, there needs to be a management commitment to develop a focused, on-going practice around the pursuit of organizational maturity. As part of this, gaps in skills and capabilities should be identified and positive action – training, coaching, process improvement and tools deployment – taken in order to close the gap
  • the work force needs to understand the business drivers for Agility. They need to be challenged to improve their quality, improve their cycle times, to improve the frequency of releases and the value they deliver to the customer. They need to know how these things fit within the bigger picture and why improvement is their responsibility.
  • To change a culture it's important to recognize that every knowledge worker makes decisions and takes actions that affect the performance of the business. The culture in the organization is the reflection of those decisions and actions.
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  • all the people understand and internalize the concepts and ideals behind the Agile movement
  • translated into concepts that can be widely applied to the many day-to-day decisions each of them will make
  • internalize and live three principles: making progress with imperfect information; existing in a high trust, high social capital culture; and shortening cycle times. These ideas need to be infused into the workforce at every opportunity.
  • it should spread virally. It can start with just one manager, who educates his immediate direct reports on the concepts and then takes the time to reflect and show how each decision is aligned the principles
  • work-in-progress as a liability rather than an asset.
  • . Every member of the team should be educated to understand it, and to be capable of demonstrating how their decisions and actions are concomitant with it. The Decision Filter is
  • The Agile Decision Filter
  • Delivering quickly can provide immediate value while delay can result in obviated functionality of little value or missing a more lucrative opportunity while completing existing work-in-progress
  • Are we making progress with imperfect information? Or are we trying to be perfect before we start? Does this decision add or maintain trust in our organization and with our partners? Or does it remove trust and breed fear? Are we treating work-in-progress as it if were a liability? Or are we treating it like an asset?
  • the team can start to modify their practices one decision at a time and drive towards a goal of business agility
  • The "transition" to Agile will happen slowly, and supporting the change will require training, coaching and tools – but change will be real and long-lasting.
  • By changing your culture using the simple principles captured in The Agile Decision Filter, teams will adopt Agile. Give it a little time and magic will happen. They will voluntarily change their behaviors and adopt Agile practices. They will behave in a fashion aligned with the principles and values behind The Agile Manifesto. They will not resist because they had a say in the changes, which are tailored specifically to their environment and their needs.
  • this approach may seem less prescriptive and straightforward than an "Agile Change Initiative" project plan. And yes, taking on a management-led Agile Transition Initiative looks faster and cheaper,
  • However, it is all wishful thinking, and the only way to get the payoff is to invest the time and show the courage to lead true Agile change. True Agile change requires you to change the culture. To change the culture, teach all your people how to use the Agile Decision Filter and hold them accountable for every decision they make.
Yuval Yeret

Managing WIP isn't the same as Limiting WIP: Part 1 - 0 views

  • To determine the truth of this we only need to look at the feature sets of the popular tools for managing eXtreme Programming and Scrum such as Rally, VersionOne, ScrumWorks, Mingle and very new tools like Borland Team Focus, to discover that not a single one of these tools allows you to set an explicit WIP limit. None of them provide a pull signal to start new work. Very few of them are even capable of reporting the quantity of work-in-progress.
  • s we learned more about the value of managing WIP, we introduced concepts to encourage and enable it, such as the use of Cumulative Flow Diagrams (a.k.a. Burn Up charts)
  • Agile teams encountering an impediment would generally mark a story as blocked and go on to another one
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  • In a truly WIP limited process impediment removal is paramount.
  • So for those who would claim that Scrum and XP limit WIP and pull new work, such as Stephan Schmidt, I would point them to the feature sets of existing Agile tools. These tools do not impliment WIP limits, pull signalling nor are they particularly good at issue management and resolution. Recently, there are 4 new entrants to the Agile tools market. All of them producing WIP limiting Kanban tools including the same Mr. Schmidt. If earlier Agile methods had been truly WIP limited pull methods then tools from encumbent vendors would already reflect this. As a result there would be no market for new entrants such as CodeMonkeyism, AgileZen, LeanKit and RadTrack. More thoughts on managing WIP versus limiting WIP tomorrow... T
Yuval Yeret

CIO Perspectives: A Conversation on Agile Transformation, Part 2 - 0 views

  • Part 2
  • The thinking is that IT is mission-critical, so let's not change things without giving it a lot of thought and a lot of consideration
  • The really hard part is around the people transformation - getting developers to work side-by-side with testers and users is a completely foreign concept.
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  • The reason there's been so much turnover of CIOs in the last ten years is because the end users – the CEOs, the CFOs and the division heads – are unhappy with the results. When IT professionals realize this, and realize that something like Agile gives them the opportunity to create better value for their businesses, then they're going to be a lot more willing to adopt it. I hope that development organizations are starting to see around that corner.
  • We WANT to go Agile. How do we overcome the skepticism at the CXO level?"
  • My recommendation would be "try it." Agile doesn't equal risk, but changing development methods does equal some risk
  • t can be a big deal to say: "I'm going to change our development methodology." It makes people sit up and want to dive into deep detail before getting on board. The question comes in the form of the old development methodology: "Let me see the high level plan and what the change will be in the deliverables and methodology over the next two years." This is exactly what you're trying to avoid by going to an Agile method.
  • try Agile on a few small projects, measure the results, talk to users about their satisfaction, and then readdress
  • nitiate the shift in the most change-prone areas first, and then work it backwards through the rest of the organization
  • It doesn't happen everywhere at all times, and it doesn't work in all areas. It's good to recognize that up front – that software development projects adapt to this easily, but an infrastructure project would have challenges with this approach. So, select a few areas that would naturally lend themselves to Agile, such as application development, gradually introduce it to these areas that need it most, and then measure results.
  • Again I'd say: "Try it." Agile transition is absolutely about organizational change. To win executive support we need to speak in terms of risk management, measurement and the bottom line.
Yuval Yeret

Original Scrum-ban Article by Corey Ladas | Lean Software Engineering - 1 views

  • A problem with the basic index-card task board is that there is nothing to prevent you from accumulating a big pile of work in process. Time-boxing, by its nature, sets a bound on how much WIP that can be, but it can still allow much more than would be desirable.
  • then you need another mechanism to regulate the “money supply.” In our case, we simply write the quantity of kanban in circulation on the task board, and allocate new cards according to that limit.
  • You might have a simple principle like: prefer completing work to starting new work, or you might express that as a rule that says: try to work on only one item at a time, but if you are blocked, then you can work on a second item, but no more. In our example, that rule gives us an effective WIP limit of 6.
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  • Just because anybody can have more than one item in process doesn’t mean that everybody should have more than one item in process. A problem with our multitasking rule is that it locally optimizes with no consideration of the whole. An implicit total WIP limit of 6 is still more WIP than we should probably tolerate for our three workers. A limit of 4 of 5 total items in process at one time still allows for some multitasking exceptions, but disallows the obviously dysfunctional behavior of everybody carrying two items
  • The ready queue contains items that are pending from the backlog, but have high priority
  • Here we’ve broken down in-process into two states: specify and execute. Specify is about defining whatever criteria are necessary to determine when the work item can be considered complete. Execute is about doing the work necessary to bring that work item into a state which satisfies those criteria. We have split our previous WIP limit of 5 across these two states. Specify is considered to take less time in this case, so it is given a limit of 2. Execute consumes the remaining limit of 3. We might change this ratio as time goes on and our performance changes.
  • Adding the specify-complete column communicates to the team that a work item which was previously in the specify state is now ready to be pulled by anyone who wants to move it to the execute state. Work that is still in the specify state is not eligible to be pulled yet. If the owner of a ticket in the specify state wants to hand it off, he can put it in the complete buffer. If he doesn’t want to hand it off, he can move it directly into the execute state as long as capacity is available.
  • e will also need some agreement about what results to expect at each handoff. We can do that by defining some simple work standards or standard procedures for each state. These do not have to be complicated or exhaustive. Here, they are simple bullets or checklists drawn directly on the task board.
  • The next event we might consider for scheduling planning activities is the concept of an order point. An order point is an inventory level that triggers a process to order new materials. As we pull items from the backlog into the process, the backlog will diminish until the number of items remaining drops below the order point. When this happens, a notice goes out to the responsible parties to organize the next planning meeting. If our current backlog is 10, our throughput is 1/day, and we set an order point at 5, then this planning will happen about once a week.
Yuval Yeret

James Shore: The Art of Agile Development: Incremental Design and Architecture - 1 views

  • when you first create a design element—whether it's a new method, a new class, or a new architecture—be completely specific. Create a simple design that solves only the problem you face at the moment, no matter how easy it may seem to solve more general problems
  • Waiting to create abstractions will enable you to create designs that are simple and powerful.
  • The second time you work with a design element, modify the design to make it more general—but only general enough to solve the two problems it needs to solve. Next, review the design and make improvements. Simplify and clarify the code. The third time you work with a design element, generalize it further—but again, just enough to solve the three problems at hand. A small tweak to the design is usually enough. It will be pretty general at this point. Again, review the design, simplify, and clarify. Continue this pattern. By the fourth or fifth time you work with a design element—be it a method, a class, or something bigger—you'll typically find that its abstraction is perfect for your needs. Best of all, because you allowed practical needs to drive your design, it will be simple yet powerful.
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  • This is difficult! Experienced programmers think in abstractions. In fact, the ability to think in abstractions is often a sign of a good programmer. Coding for one specific scenario will seem strange, even unprofessional.
  • Continuous Design Incremental design initially creates every design element—method, class, namespace, or even architecture—to solve a specific problem. Additional customer requests guide the incremental evolution of the design. This requires continuous attention to the design, albeit at different time-scales. Methods evolve in minutes; architectures evolve over months. No matter what level of design you're looking at, the design tends to improve in bursts. Typically, you'll implement code into the existing design for several cycles, making minor changes as you go. Then something will give you an idea for a new design approach, requiring a series of refactorings to support it. [Evans] calls this a breakthrough (see Figure). Breakthroughs happen at all levels of the design, from methods to architectures.
  • Don't let design discussions turn into long, drawn-out disagreements. Follow the ten-minute rule: if you disagree on a design direction for ten minutes, try one and see how it works in practice. If you have a particularly strong disagreement, split up and try both as spike solutions. Nothing clarifies a design issue like working code.
  • Risk-Driven Architecture Architecture may seem too essential not to design up front. Some problems do seem too expensive to solve incrementally, but I've found that nearly everything is easy to change if you eliminate duplication and embrace simplicity. Common thought is that distributed processing, persistence, internationalization, security, and transaction structure are so complex that you must consider them from the start of your project. I disagree; I've dealt with all of them incrementally [Shore 2004a]. Two issues that remain difficult to change are choice of programming language and platform. I wouldn't want to make those decisions incrementally!
    • Yuval Yeret
       
      Possible exercise - Try to come up with various things that are risky to YAGNI. And then order them according to level of risk. Use the examples here to seed the list
  • Limit your efforts to improving your existing design
  • To apply risk-driven architecture, consider what it is about your design that concerns you and eliminate duplication around those concepts
  • Your power lies in your ability to chooose which refactorings to work on. Although it would be inappropriate to implement features your customers haven't asked for, you can direct your refactoring efforts towards reducing risk. Anything that improves the current design is okay—so choose improvements that also reduce future risk.
  • design is so important in XP that we do it all the time
  • Don't try to use incremental design without a commitment to continuous daily improvement (in XP terms, merciless refactoring.) This requires self-discipline and a strong desire for high-quality code from at least one team member. Because nobody can do that all the time, pair programming, collective code ownership, energized work, and slack are important support mechanisms.
  • Test-driven development is also important for incremental design. Its explicit refactoring step, repeated every few minutes, gives pairs continual opportunities to stop and make design improvements. Pair programming helps in this area, too, by making sure that half of the team's programmers—as navigators—always have an opportunity to consider design improvements.
  • Alternatives If you are uncomfortable with XP's approach to incremental design, you can hedge your bets by combining it with up-front design. Start with an up-front design stage and then commit completely to XP-style incremental design. Although it will delay the start of your first iteration (and may require some up-front requirements work, too), this approach has the advantage of providing a safety net without incurring too much risk.
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