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Yuval Yeret

Kanban development oversimplified: a simple explanation of how Kanban adds to the ever-... - 0 views

  • It’s a lot easier to estimate a story that’s small — which can lead to more accurate estimates, and better predictability.
  • It’s easier to plan with smaller stories. With big stories — stories that might take weeks for a developer to implement — it becomes difficult to plan a development time-box — particularly when the iterations are only a couple of weeks. It seems that only a couple stories fit — and there’s often room for half a story — but how do you build half a story? Splitting them into smaller stories makes it easier to plan those time-boxes.
  • Shrinking stories forces earlier elaboration and decision-making. Where product owners could write their stories fairly generally and consider many of the details later, now breaking them down into smaller stories forces more thinking earlier in a planning lifecycle.
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  • Managing little stories forces us to keep better track of how they fit together. Product owners are often asked to break down stories to a level where a single story becomes meaningless. To keep track of what’s meaningful to them and other stakeholders, they often need to keep track of bigger items such as the features of the product and how many stories contribute to building up that feature.
  • The result of these herniated time-box activities is a cycle that’s actually 3-4 times longer than our time-box. To get work done, we’ll use a time-box to elaborate stories, one to develop them, another to more thoroughly test them, and if there are bugs, possibly another to fix them.
  • During an ideal Agile time-box we’ll have frequent discussions between developers, testers, and those on a product owner team — like business analysts, user experience people, and business people. We’ll do this to understand what we need to build and describe what we’ll do to validate the story was really done. When time-boxes are short, there’s less time for this conversation. It’s common to move many of the conversations to detail the story and describe acceptance to the time-box before so we can be ready to really get moving with development when the time-box starts.
  • It’s difficult to fit thorough validation of the story into a short time-box as well. So, often testing slips into the time-box after. Which leaves the nasty problem of what to do with bugs� which often get piped into a subsequent time-box.
  • Anyone who’s attended an Agile planning meeting knows they can often last about an hour longer than you can stand it
  • As time-boxes shrink those on the product owner team and testers find themselves in a constant mode of getting ready for a next time-box and evaluating past time-boxes
  • work long hours, attend lots of meetings, and seem to have less time to be available to help developers with the current time-box. Since their focus is on a future or past time-box, questions about this time-box seem like interruptions. Collaboration decreases and tensions increase. Their work load is heavy, bumpy, not smooth or even.
  • Kanban cards are used to limit the amount of inventory the factory builds. It doesn’t do the Toyota factory any good to build doors faster then they can assemble cars. It just wastes money on excess doors, and parts of doors. Excess work in progress is considered to be waste in Lean manufacturing. (It’s probably waste in non-Lean manufacturing too.) In the above completely made up example, you’ll never have more than 15 finished doors hanging around. (Mudha is Japanese for waste. Learn it to impress your Lean friends.)
  • “Kan” means visual, and “ban” means card or board.
  • Kanban thinking in software development attempts to do a similar thing. We want to limit unnecessary work in progress to be no higher than it needs to be to match the throughput of the team.
  • In Kanban development: time-boxed development is out stories are larger and fewer estimation is optional or out completely velocity is replaced by cycle time
  • Exactly what’s left of Agile if we get rid of time-boxes, change the meaning of stories, and stop measuring velocity. And, exactly what do car doors and Kanban cards have to do with software development? Don’t get hung up on process. Remember, agile development isn’t a process.
  • You might have a column where business analysts spend time tracking down technical details that developers need to understand to write code.
  • These columns aren’t set. You should discuss with your team the phases that stories go through to be completed. Some organization may use columns for writing documentation, or preparing customer service people to support the feature in production.
  • The top is used for stories currently in progress in that phase. The bottom is the buffer. When work for that phase of the story is completed, it moves from “in progress” to the “buffer” where it’ll wait to be pulled into the next phase.
  • When we set limits for work in progress, we’ll set a total number for the process step that includes both “in process” and the “finished buffer” for that process step.
  • Stories must be minimal marketable features
  • To be marketable the feature needs to be large enough to be useful — probably larger than the teeny stories that take a couple days to build and seem to be best practice in Agile development today. A MMF may take weeks to build. But the important thing isn’t how long it takes to build, but that it be understandable and valuable to those who’ll receive it. To identify a MMF some folks ask the question “Would I announce it in my company’s product blog?” If it’s too tiny to mention, then it’s not a MMF.
  • To be lean, we’ll limit the number of stories we allow onto the board. A common formula is to add up all the members of the team in all roles and divide by two. All roles includes developers, analysts, user interfaced designers, testers, deployment people — anyone immediately responsible for getting features to market. For example, if team members total 20, we might limit the number of MMF-style stories on the board to 10.
  • Today developers have finished a story, and s they walk to the Kanban board to move it out of development, they notice their single buffer slot is full — and the “testing in progress” column is filled to its limit. What now? The developers talk to the testers. “We’re really struggling to keep up here. It’ll be till tomorrow morning before we can get some of these stories moved out.” “Hmm�” says a developer “Can we help test?” “Of course you can!” says the tester. “With your help we can get these cleared out by the end of the day.“ The tester grins “I just don’t want you validating a story you implemented.”
  • For the limits of the story process steps, the limit is often half the number of people that can perform the work for that phase of development. For instance if you have 6 developers, you might limit the development in progress column to 3. Now, this will force developers to work together on stories. I do find in practice that this may not work out for all teams — so I often see limits that equal the number of developers (or those that can perform the process step) or often 1.5 * the number of people in a role. Of course if you do this, it’ll raise the overall work in progress — and as you might expect, items will take longer to finish.
  • When a column in a Kanban board is full, we know that group is at capacity. We also know that if this keeps happening that that process step is likely where a bottleneck is.
  • If you’ve ever waited in line for the Pirates of the Caribbean in Disneyland you might remember signs along the way that say “Your wait time from here is 30 minutes” — something like that. Now you can post your own wait times on your Kanban board. At the bottom of your story queue post the average cycle time with wait time. It’ll say something like “Your wait time for a story here is approximately 18 days.” At the top of the queue post the average working cycle time. It might say “your wait time from here is 14 days.”
  • When you place focus on how quickly you can get functionality done, and have the ability to measure just that, then the estimates don’t much matter. In fact, many using a Kanban approach have simply stopped estimating at all. Yes story sizes vary, but being able to give a wait time plus or minus a few days is sufficient for many organizations’ concerns.
  • But, since there’s no development time-box in Kanban development, we’ll measure story-by-story how long they took to complete — the “cycle time” of the story.
  • Some do still estimate stories. Then use those estimates in conjunction with cycle time. Using a spreadsheet we can calculate the average cycle time for stories with a given estimate. If you do this, consider placing a handy chart next to your Kanban board showing estimate in one column, and wait times in adjacent columns. With this you’re answering the real question stakeholders are asking for when they get estimates: “when am I going to see this functionality in the software?”
  • If your stakeholders are like mine, they don’t want to know when they’re going to get this functionality, the want to know when they’re going to get all this functionality. I find that if I place stories into a spreadsheet with start and end dates, and calculate cycle time, if I select an arbitrary time period — say a two or three week time period — I can see how many stories where completed during this time period. For instance I might see the team finished 22 stories in 3 weeks — that’s about 7.3 stories per week. Given a backlog of 100 stories I can reasonably infer that it’ll take between 13 and 14 weeks (100/7.3). That’s yesterday’s weather for Kanban — at least the way I calculate it.
  • If I know that during three week time period there where 15 working days and that 5 developers worked the entire time, that’s 75 developer days. Knowing that lets me calculate the average number of developer days per story: 3.4 (75/22) — Which is darn close to pi — which makes me believe it has to be right. ;-) This number, 3.4, is what XP practitioners referred to as load factor.
  • Evaluation cycles, not development time-boxes
  • The only difference is the cycles aren’t used to plan and commit to stories any longer.
  • The daily standup or daily scrum meeting occurs as normal, but now it occurs in front of the Kanban board. Instead of the regular meeting ritual of checking in with each person to find out what they worked on yesterday and will work on today, the discussion revolves around the Kanban board and what will likely move on and off the board today, where “traffic” seems the heaviest, and what we could do to clear bottlenecks.
  • Reflect every few weeks
  • Lean practices help teams increase throughput. They don’t make developers type faster, rather they draw attention to bottlenecks that slow things down, help you see them and respond to them quicker. Using a Kanban board lets you easily visualize work in progress across different roles and lets you see when someone is taking on too much work simultaneously.
  • Demonstrate every few weeks
  • A task board as it’s commonly used in an agile approach can give you the visualization too. But, widening the task board to separate testing from development from acceptance or other process steps helps me better visualize where things are clogging up — helps me better diagnose problems. And, setting hard limits for process steps and respecting them really makes me deal with the problem in a way that dropping a pile of stories into a sprint or iteration didn’t. But, maybe it’s just me who’s lazy and avoids dealing with tough problems. I’m sure you’d never run into a situation where you and your team let lots of finished development work pile up waiting to be tested.
  • There’s no one as zealous as the newly converted There’s a lot of folks pretty excited about Kanban out there. I am too. Sometimes that zeal takes the form of telling people practicing common agile time-boxed development that they’re wrong. But, I guess I’m crusty enough to know that there’s lots of right ways to succeed and anyone who believes they’ve found the best ways is likely wrong. Don’t let those voicing opinions strongly for, or against, Kanban approaches stop you for digging in deeper and understanding the ideas behind it.
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    one of the best articles about Kanban and its relation to Agile I've encountered so far - focusing on Feature development (not maintenance)
Yuval Yeret

Growth Facilitator role on an OpenAgile team | Agile Advice - Working With Agile Method... - 0 views

  • The responsibility of the Growth Facilitator is about more than simply prioritizing New Work goals and tasks. I see the role as contributing to the organizational culture, and helping to build the business in a sustainable way.
  • As Growth Facilitator, I am also responsible for guiding the team toward delivering greater value for our stakeholders. At Berteig Consulting, our stakeholders don’t just include the company’s owners. Our stakeholders include a wide range of groups, including customers, suppliers, employees, and our families, all without whose support nothing we do would be possible. Delivering value to our stakeholders requires that we keep them in mind when we commit to our tasks each week.
  • When I first started, I made goals that were broad, saying for example “to take care of our clients” or “to work at a sustainable pace.”
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  • Berteig Consulting can update the Certified ScrumMaster course content so that all CSM course participants receive the best value in the market.” As soon as I made the direction clear, the team self-organized and generated tasks required to achieve each goal.
  • As the Process Facilitator goes about helping the team overcome obstacles, it can become clear that the team needs to address a systemic challenge during one of the upcoming Cycles. The Growth Facilitator then states the need as a Cycle goal in a S.M.A.R.T. format, allows the team time to give feedback, and prioritizes the goal in the New Work list. When the goal is brought to a future Cycle Commitment Meeting, the team breaks the goal into tasks and solves the systemic obstacle that the Process Facilitator identified.
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    Who is the Agilesparks Growth Facilitator? Who's the Process Facilitator for that matter? Interesting reading. Important aspect of managing self-organizing teams in my oppinion
Yuval Yeret

EE Times - Using agile methods in medical device development - 0 views

  • FDA and other regulatory agencies fundamentally want to see that your product has safety in mind. To do so, they require complete traceability through the hardware and software. There is even a fairly new standard, IEC 62304, adopted worldwide that is wholly focused on software traceability from requirements through architecture to tests.
  • Medical devices companies are going primarily agile to respond to change and effectively manage technical complexity by collaboratively building solutions with their partners and customers to ultimately deliver what the customer wants before the competition does.
  • demo the new functionality created after each iteration to your customers, using web-based meets. Using these tools enables you to get immediate feedback from your customers throughout the project. Continuous customer feedback reduces the risk of building the wrong solution. The fact is in most cases you can’t make the release cycle more frequent since it includes giving tests to regulatory agencies. This is a tedious process that makes sure the device is safe. Doing the whole release cycle more frequently can be way too time consuming.
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  • ou could also give a version to select customers as long as it will not be directly used for care or diagnosis on current patients. The idea there is the customer gets the current iteration in house for say a blood analyzer. They could load it with real patient data and test out the new functionality as long as it is not used to diagnose an existing patient, since it has not gone through regulatory
  • agile development has gotten so popular in medical device companies that the AAMI (Association of Medical Instrumentation) is currently working on new guidance for mapping agile to a medical standard called IEC 62304.
  • In conclusion, agile development works and is being used in medical device development. The issue is you need to have a good toolchain that allows for complete traceability across the entire lifecycle in order to comply with standards. It is also very important to integrate and test frequently. This, in turn, leads to the need for build automation. With all of this in place, agile development for medical devices becomes much easier to make work.
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

http://studios.thoughtworks.com/2007/5/10/continuous-integration-in-the-enterprise-with... - 0 views

  • One of the developers had checked in some code that failed the regression tests. The application, on which the company had spent considerable time, money and effort, was now in an uncertain state. It wasn't behaving as expected. In the past, this type of bug usually wasn't discovered for months. Usually, it wasn't discovered until the System Integration Testing cycle got underway. For this project, that wasn't scheduled for another 6 months.
  • In the past, this bug would have lingered in the code for 6 months before anyone even realized it was a problem
  • . The light had gone off only 6 minutes after the code had been committed. Notice: not 6 months...but 6 minutes!
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  • I told them I just saved them $12,535! They looked around to figure out how. The reason I was there was simple. Earlier that year, those same IT managers had performed a series of calculations to estimate how much it cost the department each time a bug made its way out of development, into SIT, into User Acceptance Testing, or all the way into production. For this IT shop, one bug into SIT cost them $12,605 (and you can imagine how much a bug into production would cost.)
Yuval Yeret

InfoQ: Comparing Kanban To Scrum - 1 views

  • Scrum in a nutshell Split your organization into small, cross-functional, self-organizing teams. Split your work into a list of small, concrete deliverables. Assign someone to be responsible for that list and to sort the list by priority. The implementation team estimates the relative size of each item. Split time into short fixed-length iterations (usually 1 – 4 weeks), with potentially shippable code demonstrated after each iteration. Optimize the release plan and update priorities in collaboration with the customer, based on insights gained by inspecting the release after each iteration. Optimize the process by having a retrospective after each iteration. For more details check out “Scrum and XP from the Trenches”. The book is a free read online. I know the author, he’s a nice guy :o) http://www.crisp.se/ScrumAndXpFromTheTrenches.html Kanban in a nutshell Visualize the workflow Split the work into pieces, write each item on a card and put on the wall Use named columns to illustrate where each item is in the workflow Limit WIP (work in progress) – assign explicit limits to how many items may be in progress at each workflow state. Measure the lead time (average time to complete one item, sometimes called “cycle time”), optimize the process to make lead time as small and predictable as possible.
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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