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  • Branching and CI Builds with Agile

    - by Bob Horn
    We follow many agile processes, including automated tests, continuous integration, sprint reviews, etc... We're currently having a debate about how often we should branch release builds. We've been doing two-week sprints and trying to deploy to production at the end of each sprint. Some of us think we should be branching every sprint. Some of us think that's overkill. If a project encompasses three Visual Studio solutions, and we branch every sprint, then that's three branches, and three CI builds to create every two weeks. If we do this for six months, we'll end up with 36 branches and 36 CI builds. There is overhead involved in that. For those of us that think that branching every sprint is overkill, we don't have a very good alternative. On my last project, we deployed some solutions from the Main trunk. Yeah, that's not good, but it saved on some of the overhead. What's the right way to manage branching/releasing and CI builds, using agile, when we have such short (two-week) sprint cycles?

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  • Does Agile force developers to work more?

    - by Shooshpanchick
    Looking at common Agile practices it seems to me that they (intentionally or unintentionally?) force developer to spend more time actually working as opposed to reading blogs/articles, chatting, coffee breaks and just plain procrastinating. In particular: 1) Pair programming - the biggest work-forcer, just because it is inconvenient to do all that procrastination when there are two of you sitting together. 2) Short stories - when you have a HUGE chunk of work that must be done in e.g. a month, it is pretty common to slack off in the first three weeks and switch to OMG DEADLINE mode for the last one. And with the little chunks (that must be done in a day or less) it is exact opposite - you feel that time is tight, there is no space for maneuvering, and you will be held accountable for the task pretty soon, so you start working immediately. 3) Team communication and cohesion - when you underperform in a slow, distanced and silent environment it may feel ok, but when at the end of the day at Scrum meeting everyone boasts what they have accomplished and you have nothing to say you may actually feel ashamed. 4) Testing and feedback - again, it prevents you from keeping tasks "99% ready" (when it's actually around 20%) until the deadline suddenly happens. Do you feel that under Agile you work more than under "conventional" methodologies? Is this pressure compensated by the more comfortable environment and by the feeling of actually getting right things done quickly?

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  • What will be important in Training in 2011?

    - by anders.northeved
      Now that we have started a new year I would like to give you a list of topics I think we will be discussing in training and learning in 2011. Some of the areas we have discussed earlier will still be just as important in 2011: Time-to-knowledge Still one of the most important issues for the training department. Internal content production Related to time-to-knowledge. How do we convert internal knowledge to a format that can be used for teaching others? LMS integration How do we get our existing LMS fully integrated with our other ERP modules like HCM, Order Management, Finance, Payroll etc. Some areas have been discussed before, but we’ll focus more on these in 2011: Combining internal and external training A majority of training departments use a combination of external and internal training. Having the right mix is vital for the quality and efficiency for most training organizations. Certification More rules and regulations means managing all employee certifications is more important than ever. Evolving trends in 2011: Social Learning We have been talking about this for a long time, but 2011 will be the year where we will start using it for real (OK, I also said so last year – but this year I’m right…). Real-life use of SCORM 2004 Again a topic we have talked about for a long time, but we are now actually starting to use it to give learners a better e-learning experience. How do we engage and delight the learner? e-learning makes economical sense, it can be easy to understand, it is convenient – but how do we make it more engaging and delight our learners? How to include more types of training in LMS One of the main focus area of 2011 will be how to manage and measure mobile learning , on-the-job-training and other forms of training in the LMS. Mobile Learning With the ever growing use of smart phones mobile learning will be THE hot topic of 2011 in the training world. New topics we will begin discussing in 2011: What is beyond web 2.0 and social learning? - could it be content verification and personal accreditation? Why gaming will not be the silver bullet for all types of e-learning Many people believe gaming can be used for any kind of training, but the creation is too expensive and time consuming for most applications. Do you agree with these predictions? What are your own predictions? Let me see your comments! (photo: © Marti, photoxpress.com)

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  • How can I boost my C# learning curve?

    - by MSU
    I have been learning programming, mostly C# and .net stuff. And I have target to become a fulltime .NET developer. But I am feeling that learning Graph is very slow, I have been learning C# programming, doing some coding everyday, but how I can learn very fast and increase my skills rapidly? I know there should be a balance of coding and reading, as without reading I can't code and without coding I can't increase my skills. SO, I am requesting here suggesting from experts on how I bring more pace to my learning curve? I intend to give 4-6 hours daily for this and on weekends 10+ hours.

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  • Agile and different facet of software development

    - by arjun
    It is said that the Kanban methodology is suited for software maintenance and support areas, whereas Scrum is more suited for new product development. No process or methods are complete. Using the right one will help you succeed, but they will not guarantee success. Which agile approach is best suited for a project which is basically a re-platforming from one technology to another (say from Java to .NET).

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  • Handling "related" work within a single agile work item

    - by Tesserex
    I'm on a project team of 4 devs, myself included. We've been having a long discussion on how to handle extra work that comes up in the course of a single work item. This extra work is usually things that are slightly related to the task, but not always necessary to accomplish the goal of the item (that may be an opinion). Examples include but are not limited to: refactoring of the code changed by the work item refactoring code neighboring the code changed by the item re-architecting the larger code area around the ticket. For example if an item has you changing a single function, you realize the entire class now could be redone to better accommodate this change. improving the UI on a form you just modified When this extra work is small we don't mind. The problem is when this extra work causes a substantial extension of the item beyond the original feature point estimation. Sometimes a 5 point item will actually take 13 points of time. In one case we had a 13 point item that in retrospect could have been 80 points or more. There are two options going around in our discussion for how to handle this. We can accept the extra work in the same work item, and write it off as a mis-estimation. Arguments for this have included: We plan for "padding" at the end of the sprint to account for this sort of thing. Always leave the code in better shape than you found it. Don't check in half-assed work. If we leave refactoring for later, it's hard to schedule and may never get done. You are in the best mental "context" to handle this work now, since you're waist deep in the code already. Better to get it out of the way now and be more efficient than to lose that context when you come back later. We draw a line for the current work item, and say that the extra work goes into a separate ticket. Arguments include: Having a separate ticket allows for a new estimation, so we aren't lying to ourselves about how many points things really are, or having to admit that all of our estimations are terrible. The sprint "padding" is meant for unexpected technical challenges that are direct barriers to completing the ticket requirements. It is not intended for side items that are just "nice-to-haves". If you want to schedule refactoring, just put it at the top of the backlog. There is no way for us to properly account for this stuff in an estimation, since it seems somewhat arbitrary when it comes up. A code reviewer might say "those UI controls (which you actually didn't modify in this work item) are a bit confusing, can you fix that too?" which is like an hour, but they might say "Well if this control now inherits from the same base class as the others, why don't you move all of this (hundreds of lines of) code into the base and rewire all this stuff, the cascading changes, etc.?" And that takes a week. It "contaminates the crime scene" by adding unrelated work into the ticket, making our original feature point estimates meaningless. In some cases, the extra work postpones a check-in, causing blocking between devs. Some of us are now saying that we should decide some cut off, like if the additional stuff is less than 2 FP, it goes in the same ticket, if it's more, make it a new ticket. Since we're only a few months into using Agile, what's the opinion of all the more seasoned Agile veterans around here on how to handle this?

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  • Software Management Tools for Agile Process Development

    - by Graviton
    We would like to implement the Agile/ Scrum process in our daily software management, so as to provide better progress visibility and feature managements, here are some of the activities that we want to do: Daily stand-up Release cycles of 6 weeks with 3 2-week iterations. Having a product back-log of tasks (integrate with bugzilla) and bugs estimated out. Printing a daily burn down to make velocity visible. When used as motivator, it's great. Easy feature development tracking and full blown visibility, especially for the sales and stake holders ( this means that it must be a web based tool). My team is distributed, so physical whiteboards aren't feasible. Is there such a web based tool that meets our needs? I heard icescrum may be one, but I've never used it so I don't know. There are a few more suggestions as here, but I've never heard of them, anyone cares to elaborate or suggest new tools?

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  • Design documents as part of Agile

    - by syrion
    At my workplace, we face a challenge in that "agile" too often has meant "vague requirements, bad acceptance criteria, good luck!" We're trying to address that, as a general improvement effort. So, as part of that, I am proposing that we generate design documents that, above and beyond the user story level, accurately reflect the outcome of preliminary investigations of the effect of a given feature within the system and including answers to questions that we have asked the business. Is there an effective standard for this? We currently face a situation where a new feature may impact multiple areas in our "big ball of mud" system, and estimates are starting to climb due to this technical debt. Hopefully more thoughtful design processes can help.

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  • Long term planning and agile?

    - by Ignite
    My team has recently went through the process of laying out a nearly one year plan for our direction of work. We have separated the plan into three phases and each phase will include a couple of launches. I wonder, from an agile point of you, is what we do wrong? I think it's not a bad idea, because we haven't spent too much time on designing anything but the first few steps and it's possible for us to change direction. At the same time it's nice that we don't act with only the near term in sight.

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  • Agile Tools For Handling Multiple Projects

    - by f1dave
    Currently I'm leading our agile team in an iteration manager role as well as doing my regular dev work. One of the difficulties I'm facing as an IM is tracking burn-down/burn-up; not because I can't produce graphs, but because there's multiple projects that this team is working on at one time. At present I have an excel workbook with sheets that contain a whole bunch of graphs, both at an overall team and by-project level. It's clunky and I spend more time tweaking formulas and double checking calculations than I'd really like. As such, I'm interested to know if anyone has used a tool that can effectively produce these sorts of reports, burn-downs, and predictions across multiple projects. I've seen http://www.pivotaltracker.com/ do some nice things, and of course there's JIRA/Greenhopper, but I'm not aware of those being used to track the progress of multiple projects within one team. If anyone's got an idea of some tools, or has faced a similar problem before, I'd love to hear from you.

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  • Agile: User Stories for Machine Learning Project?

    - by benjismith
    I've just finished up with a prototype implementation of a supervised learning algorithm, automatically assigning categorical tags to all the items in our company database (roughly 5 million items). The results look good, and I've been given the go-ahead to plan the production implementation project. I've done this kind of work before, so I know how the functional components of the software. I need a collection of web crawlers to fetch data. I need to extract features from the crawled documents. Those documents need to be segregated into a "training set" and a "classification set", and feature-vectors need to be extracted from each document. Those feature vectors are self-organized into clusters, and the clusters are passed through a series of rebalancing operations. Etc etc etc etc. So I put together a plan, with about 30 unique development/deployment tasks, each with time estimates. The first stage of development -- ignoring some advanced features that we'd like to have in the long-term, but aren't high enough priority to make it into the development schedule yet -- is slated for about two months worth of work. (Keep in mind that I already have a working prototype, so the final implementation is significantly simpler than if the project was starting from scratch.) My manager said the plan looked good to him, but he asked if I could reorganize the tasks into user stories, for a few reasons: (1) our project management software is totally organized around user stories; (2) all of our scheduling is based on fitting entire user stories into sprints, rather than individually scheduling tasks; (3) other teams -- like the web developers -- have made great use of agile methodologies, and they've benefited from modelling all the software features as user stories. So I created a user story at the top level of the project: As a user of the system, I want to search for items by category, so that I can easily find the most relevant items within a huge, complex database. Or maybe a better top-level story for this feature would be: As a content editor, I want to automatically create categorical designations for the items in our database, so that customers can easily find high-value data within our huge, complex database. But that's not the real problem. The tricky part, for me, is figuring out how to create subordinate user stories for the rest of the machine learning architecture. Case in point... I know that the algorithm requires two major architectural subdivisions: (A) training, and (B) classification. And I know that the training portion of the architecture requires construction of a cluster-space. All the Agile Development literature I've read seems to indicate that a user story should be the "smallest possible implementation that provides any business value". And that makes a lot of sense when designing a piece of end-user software. Start small, and then incrementally add value when users demand additional functionality. But a cluster-space, in and of itself, provides zero business value. Nor does a crawler, or a feature-extractor. There's no business value (not for the end-user, or for any of the roles internal to the company) in a partial system. A trained cluster-space is only possible with the crawler and feature extractor, and only relevant if we also develop an accompanying classifier. I suppose it would be possible to create user stories where the subordinate components of the system act as the users in the stories: As a supervised-learning cluster-space construction routine, I want to consume data from a feature extractor, so that I can exist. But that seems really weird. What benefit does it provide me as the developer (or our users, or any other stakeholders, for that matter) to model my user stories like that? Although the main story can be easily divided along architectural-component boundaries (crawler, trainer, classifier, etc), I can't think of any useful decomposition from a user's perspective. What do you guys think? How do you plan Agile user stories for sophisticated, indivisible, non-user-facing components?

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  • Switching to a career in Machine Learning

    - by Naive Machine Learner
    My day job is plain old software development. I am also doing my Masters in CS (part time, course based). I took a course on AI and found machine learning quite fascinating but like most courses it only offered a basic intro. I intend to learn more about Machine Learning and if possible get a job in that field. When I look at job postings in this field it is clear that a Phd in Machine learning (or prior experience in the field with considerable expertise) is required for most of them. I'm looking for advice on self learning to gain experience that'll useful in industry. At least, enough experience to get my foot in. I will do the obvious ones like reading text books, papers etc. Perhaps any open source efforts that I can participate in or something I could do on my own? Apologies if I'm being vague here but I hope there are at least a few of you who done a similar switch and can advise. Thanks !

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  • Office design and layout for agile development

    - by Adam Eberbach
    (moved from stackoverflow) I have found lot of discussions here on about which keyboard, desk, light or colored background is best - but I can't find one addressing the layout of the whole office. We are a company with about 20 employees moving to a new place, something larger. There are two main development practices going on here with regular combination, the back end people often needing to work with the mobile people to arrange web services. There are about twice as many back end people as mobile people. About half of the back end developers are working on-site at any time and while they are almost never all in the office at once at least 5-10 spaces need to be provided - so most of the time the two groups are about equal. We have the chance to arrange desks, partitions and possibly even walls to make the space good. There won't be cash for dot-com frills like catering or massages but now's the time to be planning to avoid ending up with a bunch of desks in a long line. Joel on Software's Bionic Office is an article I've remembered from way back and it has some good ideas but I* (and more importantly the company's owners) are not completely sold on the privacy idea in an environment where we are supposed to be collaborating. This is another great link - The Ultimate Software Development Office Layout - I hadn't even remembered enclosed meeting rooms until reading this. Does the private office stand in the way of agile development? Is the scrum enough forced contact and if you need to bug someone you should need to get up and knock on their door? What design layouts can you point to and why would you recommend them? *I'm not against closed offices at all but would be happy if some other solution can do just as well. If it can't... well, that's what this question is all about.

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  • How to adopt scrum agile methodology for a small .Net team

    - by Thabo
    I am working on a small product based company developing .Net applications. There is a small team with 5-6 developers. I am a person responsible for planning everything. But my primary role is Software developer. Now our current project is very unstable because of poor organization. Today my boss called me and told to submit a report about required resources, appropriate methodology, required man power and their salary scales to make the current project success. I know I don’t have enough organization skills and I need to go deep in my programming skills. So I need to focus only in the development. So I can’t manage the project anymore. Now I am searching some other ways to make ongoing development success. My questions are What is the suitable agile methodology to my team? Is Scrum is suitable for above mentioned scenario? If we adopt Scrum, what we have to do next? (I think hiring new one to manage the project is more suitable. So we have to get Scrum master and some other developers.) Are there any resources (books, Blogs and etc) to get some tips and advices to solve this problem? If Scrum is not a suitable methodology for our scenario, what else can be more suitable methodology to adopt? Can anyone give a good solution for my problem?

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  • Response: Agile's Second Chasm

    - by Malcolm Anderson
    William Pietri over at Agile Focus has written an interesting article entitled, "Agile’s Second Chasm (and how we fell in)" in which he talks about how agile development has fallen into a common trap where large companies are now spending a lot of money hiring agile (Scrum) consultants just so that they can say they are agile, but all the while avoiding any change that is required by Scrum.   It echoes the questions that I've been asking for a while, "Can a fortune 500 company actually do agile development?"  I'm starting to think that the answer is "usually not"   William ask 3 questions at the end of his article that I will answer here.   1) Have I seen agile development brought in and then preemptively customized (read: made into ScrummerFall)?   Yes, Scrum is hard and disruptive.  It's a spotlight on company dysfunction.  In a low trust environment like most fortune 500 companies Scrum will be subverted by anyone who has ever seen "transparency" translate into someone being laid off.   2) If I had to do it all over again, would I change anything?  No, this is a natural progression, but the agile principles are powerful enough, that the companies that don't adopt them will no longer be competitive and will start to fail.   3) Is this situation solvable?  I think it is.  I think that one of the issues is that you often see companies implementing Scrum, but avoiding the agile engineering practices.  I believe that you cannot do one without the other.  Scrum keeps the ship sailing in smooth deep waters.  The agile engineering practices keep the engine running smoothly and cleanly.  If you implement agile engineering practices without Scrum, you run the risk of ending up with a great running piece of software that is useful to no one.  On the other hand, implementing cargo-cult Scrum without the agile engineering practices and you end up (especially in a fortune 500 company) being steered in the right direction, but with your development practices coming to a dead halt because you have code that can not keep up with the changes in requirements.   If you are trying to do Scrum, make sure that you hire some agile engineering coaches, or else you may find your deveolpment engines grinding to a dead halt in the middle of the open ocean.

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  • Is Learning C++ Through The Qt Framework Really Learning C++

    - by user866190
    The problem I have, is that most of the C++ books I read spend almost forever on syntax and the basics of the language, e.g. for and loops while, arrays, lists, pointers, etc. But they never seem to build anything that is simple enough to use for learning, yet practical enough to get you to understand the philosophy and power of the language. Then I stumbled upon QT which is an amazing library! But working through the demos they have, it seems like I am now in the reverse dilemma. I feel like the rich man's son driving round in a sports car subsidized by the father. Like I could build fantastic software, but have no clue what's going on under the hood. As an example of my dilemma take the task of building a simple web browser. In pure C++, I wouldn't even know where to start, yet with the Qt library it can be done within a few lines on code. I am not complaining about this. I am just wondering how to fill the knowledge void between the basic structure of the language and the high level interface that the Qt framework provides?

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  • Agile Testing Days 2012 – Day 2 – Learn through disagreement

    - by Chris George
    I think I was in the right place! During Day 1 I kept on reading tweets about Lean Coffee that has happened earlier that morning. It intrigued me and I figured in for a penny in for a pound, and set my alarm for 6:45am. Following the award night the night before, it was _really_ hard getting up when it went off, but I did and after a very early breakfast, set off for the 10 min walk to the Dorint. With Lean Coffee due to start at 07:30, I arrived at the hotel and made my way to one of the hotel bars. I soon realised I was in the right place as although the bar was empty, there was a table with post-it’s and pens! This MUST be the place! The premise of Lean Coffee is to have several small timeboxed discussions. Everyone writes down what they would like to discuss on post-its that are then briefly explained and submitted to the pile. Once everyone is done, the group dot-votes on the topics. The topics are then sorted by the dot vote counts and the discussions begin. Each discussion had 8 mins to start with, which meant it prevented the discussions getting off topic too much. After the time elapsed, the group had a vote whether to extend the discussion by a further 4 mins or move on. Several discussion were had around training, soft skills etc. The conversations were really interesting and there were quite a few good ideas. Overall it was a very enjoyable experience, certainly worth the early start! Make Melly Happy Following Lean Coffee was real coffee, and much needed that was! The first keynote of the day was “Let’s help Melly (Changing Work into Life)”by Jurgen Appelo. Draw lines to track happiness This was a very interesting presentation, and set the day nicely. The theme to the keynote was projects are about the people, more-so than the actual tasks. So he started by showing a photo of an employee ‘Melly’ who looked happy enough. He then stated that she looked happy but actually hated her job. In fact 50% of Americans hate their jobs. He went on to say that the world over 50% of people hate Americans their jobs. Jurgen talked about many ways to reduce the feedback cycle, not only of the project, but of the people management. Ideas such as Happiness doors, happiness tracking (drawing lines on a wall indicating your happiness for that day), kudo boxes (to compliment a colleague for good work). All of these (and more) ideas stimulate conversation amongst the team, lead to early detection of issues and investigation of solutions. I’ve massively simplified Jurgen’s keynote and have certainly not done it justice, so I will post a link to the video once it’s available. Following more coffee, the next talk was “How releasing faster changes testing” by Alexander Schwartz. This is a topic very close to our hearts at the moment, so I was eager to find out any juicy morsels that could help us achieve more frequent releases, and Alex did not disappoint. He started off by confirming something that I have been a firm believer in for a number of years now; adding more people can do more harm than good when trying to release. This is for a number of reasons, but just adding new people to a team at such a critical time can be more of a drain on resources than they add. The alternative is to have the whole team have shared responsibility for faster delivery. So the whole team is responsible for quality and testing. Obviously you will have the test engineers on the project who have the specialist skills, but there is no reason that the entire team cannot do exploratory testing on the product. This links nicely with the Developer Exploratory testing presented by Sigge on Day 1, and certainly something that my team are really striving towards. Focus on cycle time, so what can be done to reduce the time between dev cycles, release cycles. What’s stops a release, what delays a release? all good solid questions that can be answered. Alex suggested that perhaps the product doesn’t need to be fully tested. Doing less testing will reduce the cycle time therefore get the release out faster. He suggested a risk-based approach to planning what testing needs to happen. Reducing testing could have an impact on revenue if it causes harm to customers, so test the ‘right stuff’! Determine a set of tests that are ‘face saving’ or ‘smoke’ tests. These tests cover the core functionality of the product and aim to prevent major embarrassment if these areas were to fail! Amongst many other very good points, Alex suggested that a good approach would be to release after every new feature is added. So do a bit of work -> release, do some more work -> release. By releasing small increments of work, the impact on the customer of bugs being introduced is reduced. Red Pill, Blue Pill The second keynote of the day was “Adaptation and improvisation – but your weakness is not your technique” by Markus Gartner and proved to be another very good presentation. It started off quoting lines from the Matrix which relate to adapting, improvising, realisation and mastery. It has alot of nerds in the room smiling! Markus went on to explain how through deliberate practice ( and a lot of it!) you can achieve mastery, but then you never stop learning. Through methods such as code retreats, testing dojos, workshops you can continually improve and learn. The code retreat idea was one that interested me. It involved pairing to write an automated test for, say, 45 mins, they deleting all the code, finding a different partner and writing the same test again! This is another keynote where the video will speak louder than anything I can write here! Markus did elaborate on something that Lisa and Janet had touched on yesterday whilst busting the myth that “Testers Must Code”. Whilst it is true that to be a tester, you don’t need to code, it is becoming more common that there is this crossover happening where more testers are coding and more programmers are testing. Markus made a special distinction between programmers and developers as testers develop tests code so this helped to make that clear. “Extending Continuous Integration and TDD with Continuous Testing” by Jason Ayers was my next talk after lunch. We already do CI and a bit of TDD on my project team so I was interested to see what this continuous testing thing was all about and whether it would actually work for us. At the start of the presentation I was of the opinion that it just would not work for us because our tests are too slow, and that would be the case for many people. Jason started off by setting the scene and saying that those doing TDD spend between 10-15% of their time waiting for tests to run. This can be reduced by testing less often, reducing the test time but this then increases the risk of introduced bugs not being spotted quickly. Therefore, in comes Continuous Testing (CT). CT systems run your unit tests whenever you save some code and runs them in the background so you can continue working. This is a really nice idea, but to do this, your tests must be fast, independent and reliable. The latter two should be the case anyway, and the first is ideal, but hard! Jason makes several suggestions to make tests fast. Firstly keep the scope of the test small, secondly spin off any expensive tests into a suite which is run, perhaps, overnight or outside of the CT system at any rate. So this started to change my mind, perhaps we could re-engineer our tests, and continuously run the quick ones to give an element of coverage. This talk was very interesting and I’ve already tried a couple of the tools mentioned on our product (Mighty Moose and NCrunch). Sadly due to the way our solution is built, it currently doesn’t work, but we will look at whether we can make this work because this has the potential to be a mini-game-changer for us. Using the wrong data Gojko’s Hierarchy of Quality The final keynote of the day was “Reinventing software quality” by Gojko Adzic. He opened the talk with the statement “We’ve got quality wrong because we are using the wrong data”! Gojko then went on to explain that we should judge a bug by whether the customer cares about it, not by whether we think it’s important. Why spend time fixing issues that the customer just wouldn’t care about and releasing months later because of this? Surely it’s better to release now and get customer feedback? This was another reference to the idea of how it’s better to build the right thing wrong than the wrong thing right. Get feedback early to make sure you’re making the right thing. Gojko then showed something which was very analogous to Maslow’s heirachy of needs. Successful – does it contribute to the business? Useful – does it do what the user wants Usable – does it do what it’s supposed to without breaking Performant/Secure – is it secure/is the performance acceptable Deployable Functionally ok – can it be deployed without breaking? He then explained that User Stories should focus on change. In other words they should focus on the users needs, not the users process. Describe what the change will be, how that change will happen then measure it! Networking and Beer Following the day’s closing keynote, there were drinks and nibble for the ‘Networking’ evening. This was a great opportunity to talk to people. I find approaching strangers very uncomfortable but once again, when in Rome! Pete Walen and I had a long conversation about only fixing issues that the customer cares about versus fixing issues that make you proud of your software! Without saying much, and asking the right questions, Pete made me re-evaluate my thoughts on the matter. Clever, very clever!  Oh and he ‘bought’ me a beer! My Takeaway Triple from Day 2: release small and release often to minimize issues creeping in and get faster feedback from ‘the real world’ Focus on issues that the customers care about, not what we think is important It’s okay to disagree with someone, even if they are well respected agile testing gurus, that’s how discussion and learning happens!  

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  • Clean Code: A Handbook of Agile Software Craftsmanship – book review

    - by DigiMortal
       Writing code that is easy read and test is not something that is easy to achieve. Unfortunately there are still way too much programming students who write awful spaghetti after graduating. But there is one really good book that helps you raise your code to new level – your code will be also communication tool for you and your fellow programmers. “Clean Code: A Handbook of Agile Software Craftsmanship” by Robert C. Martin is excellent book that helps you start writing the easily readable code. Of course, you are the one who has to learn and practice but using this book you have very good guide that keeps you going to right direction. You can start writing better code while you read this book and you can do it right in your current projects – you don’t have to create new guestbook or some other simple application to start practicing. Take the project you are working on and start making it better! My special thanks to Robert C. Martin I want to say my special thanks to Robert C. Martin for this book. There are many books that teach you different stuff and usually you have markable learning curve to go before you start getting results. There are many books that show you the direction to go and then leave you alone figuring out how to achieve all that stuff you just read about. Clean Code gives you a lot more – the mental tools to use so you can go your way to clean code being sure you will be soon there. I am reading books as much as I have time for it. Clean Code is top-level book for developers who have to write working code. Before anything else take Clean Code and read it. You will never regret your decision. I promise. Fragment of editorial review “Even bad code can function. But if code isn’t clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code. But it doesn’t have to be that way. What kind of work will you be doing? You’ll be reading code—lots of code. And you will be challenged to think about what’s right about that code, and what’s wrong with it. More importantly, you will be challenged to reassess your professional values and your commitment to your craft. Readers will come away from this book understanding How to tell the difference between good and bad code How to write good code and how to transform bad code into good code How to create good names, good functions, good objects, and good classes How to format code for maximum readability How to implement complete error handling without obscuring code logic How to unit test and practice test-driven development This book is a must for any developer, software engineer, project manager, team lead, or systems analyst with an interest in producing better code.” Table of contents Clean code Meaningful names Functions Comments Formatting Objects and data structures Error handling Boundaries Unit tests Classes Systems Emergence Concurrency Successive refinement JUnit internals Refactoring SerialDate Smells and heuristics A Concurrency II org.jfree.date.SerialDate Cross references of heuristics Epilogue Index

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  • Agile Manifesto, Revisited

    - by GeekAgilistMercenary
    Again, conversations give me a zillion things to write about.  The recent conversation that has cropped up again is my various viewpoints of the Agile Manifesto.  Not all the processes that came after the manifesto was written, but just the core manifesto itself.  Just for context, here is the manifesto in all the glory. We are uncovering better ways of developing software by doing it and helping others do it. Through this work we have come to value: Individuals and interactions over processes and tools Working software over comprehensive documentation Customer collaboration over contract negotiation Responding to change over following a plan That is, while there is value in the items on the right, we value the items on the left more. Several of the key signatories at the time went on to write some of the core books that really gave Agile Software Development traction.  If you check out the Agile Manifesto Site and do a search for any of those people, you will find a treasure trove of software development information. My 2 Cents First off, I agree with a few people out there.  Agile is not Scrum for instance.  Do NOT get these things confused when checking out Agile, or pushing forward with Scrum.  As David Starr points out in his blog entry, "About 35 minutes into this discussion, I realized I hadn?t heard a question or comment that wasn?t related to Scrum. I asked the room, ?How many people are on an agile team that is NOT using Scrum?? 5 hands. Seriously, out of about 150 people of so. 5 hands." So know, as this is one of my biggest pet peves these days, that Scrum is not Agile.  Another quote David writes, "I assure you, dear reader, 2 week time boxes does not an agile team make." This is the exact problem.  Take a look at the actual manifesto above.  First ideal, "Individuals and interactions over processes and tools".  There are a couple of meanings in this ideal, just as there are in the other written ideals.  But this one has a lot of contention with a set practice such as Scrum.  There are other formulas, namely XP (eXtreme) and Kanban are two that come to mind often.  But none of these are Agile, but instead a process based on the ideals of Agile. Some of you may be thinking, "that?s the same thing".  Well, no, it is not.  This type of differentiation is vitally important.  Agile is a set of ideals.  Processes are nice, but they can change, they may work for some and not others.  The Agile Manifesto covers the ideals behind what is intended, that intention being to learn and find new ways to build better software. Ideals, not processes.  Definition versus implementation.  Class versus object.  The ideals are of utmost importance, the processes are secondary, the first ideal is what really lays this out for me "Individuals and interactions over processes and tools".  Yes, we need tools but we need the individuals and their interactions more. For those coming into a development team, I hope you take this to mind.  It is of utmost importance that this differentiation is known and fought for.  The second the process becomes more important than the individuals and interactions, the team will effectively lose the advantages of Agile Ideals. This is just one of my first thoughts on the topic of Agile.  I will be writing more in the near future about each of the ideals.  I will make a point to outline more of my thoughts, my opinions, and experience with the ideals of Agile and the various processes that are out there.  Maybe, I may stumble upon something new with the help of my readers?  It would be a grand overture to the ideals I hold. For the original entry, check out my personal blog with other juicy tech tidbits, rants, raves, and the like. Agilist Mercenary

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  • Spring 3 learning curve

    - by Lucian Enache
    I'm coming from a Struts background and I was considering learning the Spring framework. How long would it usually take to get familiarity with Spring Core and Spring MVC modules, keeping in mind that I come from a Struts 1 background ? Beside those two modules are there any other modules that I should focus on ? I know that the time is relative given that everyone has a different learning curve.

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  • How can I make sure that I'm actually learning how to program rather than simply learning the details of a language?

    - by Ryan
    I often hear that a real programmer can easily learn any language within a week. Languages are just tools for getting things done, I'm told. Programming is the ultimate skill that must be learned and mastered. How can I make sure that I'm actually learning how to program rather than simply learning the details of a language? And how can I develop programming skills that can be applied towards all languages instead of just one?

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  • Learning PostgreSql: First Steps

    - by Alexander Kuznetsov
    In this series of blog posts we shall migrate some functionality from SQL Server to PostgreSql 9.2. The emphasis of these blog posts will be on what PostgreSql does differently from Sql Server - I assume that the reader has considerable knowledge of Sql Server, but might know nothing of PostgreSql. Also we shall concentrate on development, not administration. In a true agile fashion, we shall learn only what we need to get this particular job done, and nothing else, but we shall strive to learn it...(read more)

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  • Advice on learning programming languages and math.

    - by Joris Ooms
    I feel like I'm getting stuck lately when it comes to learning about programming-related things; I thought I'd ask a question here and write it all down in the hope to get some pointers/advice from people. Perhaps writing it down helps me put things in perspective for myself aswell. I study Interactive Multimedia Design. This course is based on two things: graphic design on one hand, and web development on the other hand. I have quite a decent knowledge of web-related languages (the usual HTML/JS/PHP) and I'll be getting a course on ASP.NET next year. In my free time, I have learnt how to work with CodeIgniter, aswell as some diving into Ruby (and Rails) and basic iOS programming. In my first year of college I also did a class on Java (19/20 on the end result). This grade doesn't really mean anything though; I have the basics of OOP down but Java-wise, we learnt next to nothing. Considering the time I have been programming in, for example, PHP.. I can't say I'm bad at it. I'm definitely not good or great at it, but I'm decent. My teachers tell me I have the programming thing down. They just tell me I should keep on learning. So that's what I do, and I try to take in as much as possible; however, sometimes I'm unsure where to start and I have this tendency to always doubt myself. Now, for the 'question'. I want to get into iOS programming. I know iOS programming boils down to programming in Cocoa Touch and Objective-C. I also know Obj-C is a superset of C. I have done a class on C a couple of years ago, but I failed miserably. I got stuck at pointers and never really understood them.. Until like a month ago. I suddenly 'got' it. I have been working through a book on Objective-C for a week or so now, and I understand the basics (I'm at like.. chapter 6 or so). However, I keep running into similar problems as the ones I had when I did the C class: I suck at math. No, really. I come from a Latin-Modern Languages background in high school and I had nearly no math classes back then. I wanted to study Computer Science, but I failed there because of the miserable state of my mathematics knowledge. I can't explain why I'm suddenly talking about math here though, because it isn't directly related to programming.. yet it is. For example, the examples in the book I'm reading now are about programming a fraction-calculator. All good, I can do the programming when I get the formulas down.. but it takes me a full day or more to actually get to that point. I also find it hard to come up with ideas for myself. I made one small iOS app the other day and it's just a button / label kind of thing. When I press the button, it generates a random number. That's really all I could come up with. Can you 'learn' that? It probably comes down to creativity, but evidently, I'm not too great at being creative. Are there any sites or resources out there that provide something like a basic list of things you can program when you're just starting out? Maybe I'm focusing on too many things at once. I want to keep my HTML/CSS at a decent level, while learning PHP and CodeIgniter, while diving into Ruby on Rails and learning Objective-C and the iOS SDK at the same time. I just want to be good at something, I guess. The problem is that I can't seem to be happy with my PHP stuff. I want more, something 'harder'; that's why I decided to pick up the iOS thing. Like I said, I have the basics down of a lot of different languages. I can program something simple in Java, in C, in Objective-C as of this week.. but it ends there. Mostly because I can't come up with ideas for more complex applications, and also because I just doubt myself: 'Oh, that's too complex, I can never do that'. And then it ends there. To conclude my rant, let me basically rephrase my questions into a 'tl;dr' part. A. I want to get into iOS programming and I have basic knowledge of C/Objective-C. However, I struggle to come up with ideas of my own and implement them and I also suck at math which is something that isn't directly related to, yet often needed while programming. What can I do? B. I have an interest in a lot of different programming languages and I can't stop reading/learning. However, I don't feel like I'm good in anything. Should I perhaps focus on just one language for a year or longer, or keep taking it all in at the same time and hope I'll finally get them all down? C. Are there any resources out there that provide basic ideas of things I can program? I'm thinking about 'simple' command-line applications here to help me while studying C/Obj-C away from the whole iPhone SDK. Like I said, the examples in my book are mainly math-based (fraction calculator) and it's kinda hard. :( Thanks a lot for reading my post. I didn't plan it to be this long but oh well. Thanks in advance for any answers.

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  • Machine learning challenge: diagnosing program in java/groovy (datamining, machine learning)

    - by Registered User
    Hi All! I'm planning to develop program in Java which will provide diagnosis. The data set is divided into two parts one for training and the other for testing. My program should learn to classify from the training data (BTW which contain answer for 30 questions each in new column, each record in new line the last column will be diagnosis 0 or 1, in the testing part of data diagnosis column will be empty - data set contain about 1000 records) and then make predictions in testing part of data :/ I've never done anything similar so I'll appreciate any advice or information about solution to similar problem. I was thinking about Java Machine Learning Library or Java Data Mining Package but I'm not sure if it's right direction... ? and I'm still not sure how to tackle this challenge... Please advise. All the best!

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