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Yuval Yeret

Agile PMO Role - 0 views

  • Institute an agile transition team, and have the agile PMO play a significant role on that team. If you are starting on the journey, establishing an agile transition team can be a critical factor in your success. The agile transition team plans and implements the strategy for the organization’s agile transition (using a backlog, iterations, planning meetings, retrospectives and, in general, responding to change) This group monitors and communicates results throughout the organization, and is responsible for removing organizational level impediments. The PMO representative can act as ScrumMaster for the agile transition team. Members should be leaders representing different departments and functions that are impacted by the agile transition. For example, having leaders from development, QA, product development and the PMO is an excellent practice.
  • Establish a “Meta Scrum” that is tasked with mapping projects and features to corporate strategy. As part of optimizing the whole, it is important for there to be a big picture view across products and features. In general, product managers are tasked with defining, prioritizing and communicating the vision and features for their products. When you have a program that encompasses multiple products with multiple product owners and project teams, keeping everything in line with the corporate vision can sometimes be overlooked.   Unlike the Scrum of Scrums--which is tactical, i.e. focused on execution--the Meta Scrum is focused on the strategic planning and decisions guiding the program or programs as a whole. Establishing a Meta Scrum with the PMO representative acting as ScrumMaster to plan and facilitate meetings (as well as reporting and tracking decisions and action items) can add significant value in having a program able to rapidly respond to change while staying true to the corporate strategy and objectives.
  • I like using story points to establish the velocity of individual teams. From a program point of view, however, story points are difficult to use across multiple teams. The nut there is that one team’s story point is not equivalent to another team’s story point. To crack that nut, I use agileEVM to “normalize” to standard project management metrics like the Cost Performance Index and the Schedule Performance Index, as well as the Estimate At Complete in integrated dollars. These metrics can be aggregated across teams to establish progress against the plan for the entire program.
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  • Establish an agile CoachingCenter. It is important from an organizational perspective to continue to provide coaching and training to agile teams. Team development and facilitation needs continue after the initial shift to agile methods is completed. In addition, new team members are hired, new practices discovered and implemented. Establishing an agile coaching center of excellence can meet this need.   In order to be successful, the center needs to be a legitimate organization with an assigned budget, staff and objectives. The center can be a located within the agile PMO. The center can develop and manage a central agile library, produce various lunch ‘n’ learns and other programs to infuse agile values and knowledge across the organization, and provide proficient, independent facilitators to teams for various retrospectives and other needs. In addition, the center can help the team gather metrics on their agility and health so that the team can take action if the decide to.
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.
  •  
    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

Permanent Link to Feature Flow - Increasing velocity using Kanban - 1 views

  • team that had some problems getting their process right
  • their velocity was decreasing and spirits were low. Luckily we managed to change our process by changing some basic Scrum practices and replacing some of them with Lean practices, inspired by the new Kanban articles and presentations. Productivity is now higher than ever and we can now focus on what really matters: product quality and customer satisfaction.
  • one major issue: getting things done. The major symptom was the frustration of management and the team with the project. The first 3-week time box (sprint) ending with about 30% (!) of all features still in progress, when, of course, they should all have been done and ready for shipment.
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  • existing solution to this problem was to lower the expected velocity each sprint, so the next sprint would be on-time. But at the end of next sprint, the same problem occurred, so the velocity was going down sprint after sprint.
  • pressure of the rest of the organisation for the team to keep up their tempo. This pressure from both sides was crushing morale.
  • The way this team reacted to pressure was to work harder. Most people would have 2 or 3 tasks in progress at the same time. When a developer would finish a task, the testers were too busy testing something else, so they could give the developer direct feedback. When the tester found an issue with a new feature, the developers were already working on something else, so the tester had to wait. Simply put, there was too much focus on working long and hard, not on cooperation and the stuff that actually matters: features.
  • most dysfunctional behaviour comes from the system people are in
  • biggest struggle of this team: pressure & predictability.
  • Most Scrum masters challenge the team to reach the same (or higher) velocity each sprint. This pressure should give a team focus to perform at its best. However, it can also go haywire if the team doesn't deliver. No focus, no pride, no happy customer
  • retrospectives were dismal and planning meetings were a huge burden. The teams' productivity dropped in the days after the sprint, finding new courage to start the next one. Because they had an ineffective work-process, the only outcome of each sprint was to lower the expected velocity, to make sure we would be predictable. Estimation and predictability are only a means to an end and since they were getting in the way of fixing the root cause (and were bringing down the team's spirit) I opted to cut out the planning sessions and sprint deadlines.
  • first change we made was to set a limit of 8 tasks on the 'in progress' column
  • We spent 3 weeks bringing the numbers of open tasks from 21 to 8, without picking up any new work. Of course the team struggled with this new limit. They were used to pick up new work whenever they were blocked somehow, this wasn't allowed any more
Yuval Yeret

Agile Product Manager in the Enterprise (5): Responsibility 3 - Maintain the ... - 0 views

  • The Roadmap consists of a series of planned release dates, each of which has a theme and a prioritized feature set.
  • While it is a simple thing mechanically to represent the Roadmap, figuring out the content for anything beyond the next release is another matter entirely. The topic of what else the team plans to ship and when can be a fascinating and contentious topic in agile
  • the easiest way to think about the Roadmap is that it is an output, rather than an input to the Release Planning process.
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  • The dates and themes for the next release are fixed. The features are prioritized and variable.
  • The teams can commit only to the features in the next upcoming release. Releases beyond the next, represent only a best estimate.
  • The Roadmap, then, is a “plan of intent” and is subject to change as development facts, business context and customer needs change. With respect to the upcoming release, perhaps the most important guidance is this:
  • Even though the team has committed to the objectives and we have agreed that the feature set cannot be guaranteed, it is a reasonable expectation that the agile teams will: 1) meet the date 2) accomplish the theme 3) deliver most of the features, and certainly the highest priority ones, with the requisite quality.
  • Anything less would be unprofessional and belie the power, discipline and accountability of our agile enterprise model. Moreover, it will eventually threaten our own empowerment, as failure to deliver will inevitably cause the implementation of various controls to “help us”!
Yuval Yeret

Alistair.Cockburn.us | Agile contracts - 1 views

  • Venture-capital financing model This can be used with any of the above contract forms. In this model, the sponsor gives a round of financing for a certain amount of work, and the contracted company must produce results in order to get more funding. The sponsor can cut their losses at any time if they are not getting the results they need. They can presumably alter the terms of the contract after each work period. The result of a work period need not be working software; it could be a paper study, or a requirements document, or anything the sponsor selects. The venture-capital finance model works well with agile providers, since the agile provider is used to delivering useful, working software early and regularly. I find it an odd irony that the venture capital financiers running start-ups that I have encountered don’t take advantage of their own model to the extent agile teams do. The venture financiers let the evaluation markers occur too far apart in time. If they attached funding to monthly releases, that would oblige the start-up team to think through what it really can accomplish each month. The monthly progress would give the financiers a better sense of the start-up company’s real progress.
  • Venture-capital financing model This can be used with any of the above contract forms. In this model, the sponsor gives a round of financing for a certain amount of work, and the contracted company must produce results in order to get more funding. The sponsor can cut their losses at any time if they are not getting the results they need. They can presumably alter the terms of the contract after each work period. The result of a work period need not be working software; it could be a paper study, or a requirements document, or anything the sponsor selects. The venture-capital finance model works well with agile providers, since the agile provider is used to delivering useful, working software early and regularly. I find it an odd irony that the venture capital financiers running start-ups that I have encountered don’t take advantage of their own model to the extent agile teams do. The venture financiers let the evaluation markers occur too far apart in time. If they attached funding to monthly releases, that would oblige the start-up team to think through what it really can accomplish each month. The monthly progress would give the financiers a better sense of the start-up company’s real progress.
  • Bob Martin’s idea Bob Martin of Object Mentor posted an interesting variant to get around this problem: a base fee per story point, plus a lower-than-usual (close-to or below cost) fee per hour. This biases the contracted company’s to deliver early, but gives them some protection in case work proceeds slower than expected. Bob Martin described it this way:”[A]gree to pay a certain amount for each point completed, plus a certain amount for each hour worked. For example, let’s say you’ve got a project of 1000 points. Let’s also say that a team of four has established an estimated velocity of 50 points per week. This looks like about an 80 man-week job. At $100/hour this would be a $320,000 job. So lets reduce the hourly rate to $30/hour, and ask the customer for $224 per point. This sets up a very interesting dynamic. If the job really does take 80 man-weeks, then it will cost the same. If it takes 100 man-weeks then it will cost $344,000. If it takes 70 man-weeks it will cost $308,000. Notice that this is a small difference for a significant amount of time. Notice also that you, as developer feel strong motivation to be done early, since that increases your true hourly rate.” I have not seen that model in action myself, but several people have written in recommending it.
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  • Bob Martin’s idea Bob Martin of Object Mentor posted an interesting variant to get around this problem: a base fee per story point, plus a lower-than-usual (close-to or below cost) fee per hour. This biases the contracted company’s to deliver early, but gives them some protection in case work proceeds slower than expected. Bob Martin described it this way:”[A]gree to pay a certain amount for each point completed, plus a certain amount for each hour worked. For example, let’s say you’ve got a project of 1000 points. Let’s also say that a team of four has established an estimated velocity of 50 points per week. This looks like about an 80 man-week job. At $100/hour this would be a $320,000 job. So lets reduce the hourly rate to $30/hour, and ask the customer for $224 per point. This sets up a very interesting dynamic. If the job really does take 80 man-weeks, then it will cost the same. If it takes 100 man-weeks then it will cost $344,000. If it takes 70 man-weeks it will cost $308,000. Notice that this is a small difference for a significant amount of time. Notice also that you, as developer feel strong motivation to be done early, since that increases your true hourly rate.” I have not seen that model in action myself, but several people have written in recommending it.
  • Norwegian PS 2000 Standard contract http://dataforeningen.no/?module=Articles;action=ArticleFolder.publicOpenFolder;ID=1044 “The main feature of the contract for software development is that it provides mechanisms for establishing a common understanding between customer and the developer and a flexible iterative model for development suited for an environment of uncertainties and risks.” ...” Stage by stage, iterative development model securing ability to benefit from increasing understanding of the requirements and challenges Close co-operation between supplier and customer Incentives and sanctions in combination with target pricing Procedures for conflict resolution with an expert as a mediator ” You need to order it (it costs several thousand Norwegian kronor):
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

James Shore: The Art of Agile Development: Simple Design - 0 views

  • Simple Design AudienceProgrammers Our design is easy to modify and maintain
  • Perfection is achieved, not when there is nothing more to add, but when there is nothing left to take away. —Antoine de Saint-Exupéry Any intelligent fool can make things bigger, more complex and more violent. It takes a touch of genius and a lot of courage to move in the opposite direction. —Albert Einstein
  • When writing code, agile developers often stop to ask themselves, "What is the simplest thing that could possibly work?" They seem to be obssessed with simplicity. Rather than anticipating changes and providing extensibility hooks and plug-in points, they create a simple design that anticipates as little as possible, as cleanly as possible. Unintuitively, this results in designs that are ready for any change, anticipated or not.
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  • I don't think XP and patterns are conflicting. It's how you use patterns. The XP guys have patterns in their toolbox, it's just that they refactor to the patterns once they need the flexibility
  • You Aren't Gonna Need It (YAGNI) This pithy XP saying sums up an important aspect of simple design: avoid speculative coding. Whenever you're tempted to add something to your design, ask yourself if it supports the stories and features you're currently delivering. If not, well... you aren't gonna need it. Your design could change. Your customers' minds could change.
  • We do this because excess code makes change difficult. Speculative design, added to make specific changes easy, often turns out to be wrong in some way, which actually makes changes more difficult. It's usually easier to add to a design than to fix a design that's wrong. The incorrect design has code that depends on it, sometimes locking bad decisions in place.
  • Once and Only Once
  • avoid duplication. "Once and only once" is the Extreme Programming phrase. The authors of The Pragmatic Programmer [Hunt & Thomas] use "don't repeat yourself," or the DRY principle.
  • Self-Documenting Code Simplicity is in the eye of the beholder. It doesn't matter much if you think the design is simple; if the rest of your team or future maintainers of your software find it too complicated, then it is.
  • What if we know we're going to need a feature? Shouldn't we put in a design hook for it? In XP, the plan can change every week. Unless you're implementing the feature that very week, don't put the hook in. The plan could change, leaving you stuck with unneeded code.
  • Results When you create simple designs, you avoid adding support for any features other than the ones you're working on in the current iteration. You finish work more quickly as a result. When you use simple design well, your design supports arbitrary changes easily. Although new features might require a lot of new code, changes to existing code are localized and straightforward.
  • Simple design requires continuous improvement through refactoring and incremental design and architecture. Without it, your design will fail to evolve with your requirements. Don't use simple design as an excuse for poor design. Simplicity requires careful thought. As the Einstein quote at the beginning of this section says, it's a lot easier to create complex designs than simple ones. Don't pretend "simple" means "fastest" or "easiest.
  • Until recently, the accepted best practice in design followed the advice Erich Gamma now disavows: "The key to maximizing reuse lies in anticipating new requirements and changes to existing requirements, and in designing your systems so they can evolve accordingly."
Yuval Yeret

Alistair.Cockburn.us | Are iterations hazardous to your project? - 0 views

  • Simply using iterations, user stories and velocity doesn’t mean your project is agile – or on the way to success.
  • why “iterations” may be hazardous to your project: ‘’Danger grows when the results of the iteration are not directly linked to delivering the product to the end user.’’ Without that linkage, iteration results hang in the air
  • What gets in the way is that the project is set up as a pipeline, with programming put somewhere in the middle of the pipeline. In this project setup, there is really nothing the programmers can do to show how their work connects to deliveries, because there are work stations before and after theirs. All they can report is that “some new code is integrated into the code base.” They are doing incremental development but not agile development.
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  • magine a project team of between fifteen and four hundred people. There are user representatives, analysts, programmers, database designers, and testers, arranged in a pipeline. The user analysts talk to the users, and then to the analysts, who write down user stories. The analysts write lots of notes on each user story, since it will be a full iteration or two before any programmer will pick up the user story. The notes are between one and ten pages long. Eventually, a programmer picks up a user story along with the supplemental details, code them up in an iteration, integrate them into the growing code base, and mark their velocity. In the same or a later iteration the database designers do the same. Eventually the integration test team comes along, runs tests on the whole thing, and feeds bug reports back into the programmers’ work queues. The users or project sponsors may see the outcome every few months if they are lucky.
  • Collocate the requirements gatherer, the database designer, the programmer, the tester. Lengthen the iteration period to one month. Give the requirements gatherer a week’s head start on the features coming up, but otherwise arrange that all of them are working on the same feature set in the same month.
  • Break the pipeline, lengthen the iterations, lose the machismo, deliver the project.
  • here is no mechanism in the standard agile language that warns about this loss of touch. The currently standard language consists of ‘’iterations, user stories, ‘’and’’ velocity’’. By a perverse relationship between them, it is possible to equally shrink iteration length and story size, with velocity scaling accordingly. Thus, a team can feel as though it is become more agile, when in reality it is simply becoming more cut off from its user base and the feedback it needs to succeed.
  • The repair is simple: connect every activity to a release or delivery to real users (delivering to even one real user makes a difference). Evaluate the team’s work based on how often they deliver to real users and how long it takes a new requirement to reach the users. Replace the fuss around iterations with fuss around deliveries.
  • As an afterthought, if your new iteration length is a month, you can still run one-week planning windows to make sure you don’t get off track during the month.
Yuval Yeret

Engineering Higher Quality Through Agile Testing Practices The Agile Coach - 1 views

  • Maintaining quality involves a blend of exploratory and automated testing. As new features are developed, exploratory testing ensures that new code meets the quality standard in a broader sense than automated tests alone. This includes ease of use, pleasing visual design, and overall usefulness of the feature in addition to the robust protections against regressions that automated testing provides. 
  • Exploratory testing is a risk-based, critical thinking approach to testing that enables the person testing to use their knowledge of risks, implementation details, and the customers' needs.
  • On our development teams, QA team members pair with developers in exploratory testing, a valuable practice during development for fending off more serious bugs. Much like code review, we’ve seen testing knowledge transfer across the development team because of this. When developers become better testers, better code is delivered the first time.
Yuval Yeret

James Shore: Value Velocity: A Better Productivity Metric? - 0 views

  • *Please note that I'm specifically talking about productivity. Velocity is a great tool for estimating and planning and I'm not trying to change that. It's just not a good measure of productivity.
  • rather than asking your business experts to measure business value after delivery (difficult!), have them estimate it beforehand. Every story (or feature--keep reading) gets an estimate before it's scheduled. At the end of each iteration, add up the value estimates for the stories you completed in that iteration. This is your "value velocity."
  • And rather than reflecting the hours programmers work, as cost velocity does, value velocity actually reflects productivity. Remember, productivity equals output/time. Value estimates are a much better indication of output than cost estimates are.
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  • It's like traditional velocity, except it's based on your customers' estimates of value rather than your programmers' estimates of cost.
  • stories don't always have value on their own.
  • Although value velocity isn't perfect, a team with consistent value estimates would be able to graph their value velocity over time and see how their productivity changes. This would allow them to experiment with new techniques ("Let's switch pairs every 90 minutes! Now once a week!") and see how they affect productivity. If balanced with actual measures of value and some sort of defect counting, this could be a powerful tool.
  • just estimate and score features rather than stories.
  • Another option would be to pro-rate each feature's estimate across all of the stories required to deliver it.
  • some types of stories don't provide value in the traditional way. What's the value of fixing a nasty crash bug?
  • Third, value velocity is just as vulnerable to gaming as cost velocity is... perhaps more so. I'm not sure how to prevent this.
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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