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Continuous Integration

Continuous Integration
I vividly remember one of my first sightings of a large software project. I was taking a summer internship at a large English electronics company. My manager, part of the QA group, gave me a tour of a site and we entered a huge depressing warehouse stacked full with cubes. But this needn't be the way. This contrast isn't the result of an expensive and complex tool. When I've described this practice to people, I commonly find two reactions: "it can't work (here)" and "doing it won't make much difference". The term 'Continuous Integration' originated with the Extreme Programming development process, as one of its original twelve practices. Although Continuous Integration is a practice that requires no particular tooling to deploy, we've found that it is useful to use a Continuous Integration server. Building a Feature with Continuous Integration I begin by taking a copy of the current integrated source onto my local development machine. However my commit doesn't finish my work. Related:  Continuous Integration

Merciless Refactoring Home → Blog → Merciless-Refactoring Let's Code: Test-Driven JavaScript, my new screencast series on rigorous, professional JavaScript development, is now available! Check out the demo video here. Print by James Shore 02 Sep, 2005 Ron Jeffries started an interesting topic on the XP mailing list. I thought this was a great topic. Here are the most common refactoring problems I see with XP teams: Teams that don't refactor enough. These three issues aren't mutually exclusive and may reinforce each other. So what I would like to see is teams that do intraclass micro-refactorings every hour, do interclass refactorings multiple times per pair-week, and identify big-picture "architectural" refactorings every 2-12 months. I'd like to see teams identify one or two (max) architectural refactorings that are based on (a) reflecting on problems in the existing design and (b) how to improve the existing design; and use that architectural direction to guide their intra- and inter-class refactorings.

What is continuous integration (CI)? - Definition from WhatIs.com What is continuous integration (CI)? Continuous integration (CI) is a software engineering practice in which isolated changes are immediately tested and reported on when they are added to a larger code base. The goal of CI is to provide rapid feedback so that if a defect is introduced into the code base, it can be identified and corrected as soon as possible. Continuous integration software tools can be used to automate the testing and build a document trail. Continuous integration has evolved since its conception. According to Paul Duvall, co-author of Continuous Integration: Improving Software Quality and Reducing Risk, best practices of CI include: Committing code frequently. CI originated from within the extreme programming paradigm but the principles can be applied to any iterative programming model, such as agile programming. This was last updated in July 2008 Email Alerts Register now to receive SearchSoftwareQuality.com-related news, tips and more, delivered to your inbox.

Comparison of continuous integration software Continuous integration describes a set of software engineering practices that speed up the delivery of software by decreasing integration times. Software that accomplish this practice is called continuous integration software. Comparison[edit] SCM system support[edit] References[edit] External links[edit] CI Feature Matrix ContinuousDelivery delivery · version control · continuous integration tags: Continuous Delivery is a software development discipline where you build software in such a way that the software can be released to production at any time. You’re doing continuous delivery when: [1] Your software is deployable throughout its lifecycle Your team prioritizes keeping the software deployable over working on new features Anybody can get fast, automated feedback on the production readiness of their systems any time somebody makes a change to them You can perform push-button deployments of any version of the software to any environment on demand You achieve continuous delivery by continuously integrating the software done by the development team, building executables, and running automated tests on those executables to detect problems. To achieve continuous delivery you need: a close, collaborative working relationship between everyone involved in delivery (often referred to as a "DevOps culture" [2]).

Clean Code: A Handbook of Agile Software Craftsmanship (9780132350884): Robert C. Martin Meta Build Systems This is a story about my search for a hassle-free cross-platform open source (meta-/meta-meta-) build system. For our open source Bullet physics engine, I’ve been distributing the source code in a way that should make it as easy as possible to build out-of-the box. This means that for all supported platforms, the user (a developer who downloaded the Bullet SDK) should be able to download and unzip the zipfile or tarball on his machine, and get started as soon as possible. It should be hassle-free for the user but also for me, so I rather don’t manual updating too many files for each release. Aside from all the different platforms, we need to also support various compilers, compiler settings and integrated developer environments (IDEs). Here are a couple of build systems and modifications that I tried or considered to try: Visual Studio project files. autotools: for most unix flavors, autotools does a great job.

Rudder » Screenshots Collection of screenshots from the Rudder web interface Home Configuration management Rules Rules list Rule compliance Rules details Directives Directives list Directive details Parameters Node Management Nodes management Nodes list Node details Node compliance Groups Search Nodes Groups List and Details Utilities Event logs Change Request Change requests List Change request Details Archives Administration Database management API accounts Technique library Policy server configuration mockito - simpler & better mocking - Google Project Hosting 06-10-2012: Mockito 1.9.5 released! See the release notes. Should appear in maven central shortly. Mockito is a mocking framework that tastes really good. "We decided during the main conference that we should use JUnit 4 and Mockito because we think they are the future of TDD and mocking in Java" - Dan North, the originator of BDD More quotes Over 15000 downloads of 1.9.0 version ('12), excluding maven/Gradle users. More about the user base Download mockito-all-x.x.x.jar and put it on the classpath. Then you can verify interactions: Or stub method calls Click here for more documentation and examples. If you have any suggestions, find documentation unclear or you found a bug, write to our mailing list. Mockito is served to you by Szczepan Faber and friends. Firstly, hats down before EasyMock folks for their ideas on beautiful and refactorable mocking syntax. Special thanks to Steve Christou for setting up the continuous builds at his Hudson server. Thanks to YourKit for the profiler!

Refactoring Home What is Jidoka ? Jidoka is a Japanese term used for automation and being widely used in Toyota Production System (TPS), Lean Manufacturing and Total Productive Maintenance (TPM). Concept is to authorize the machine owner (operator) and in any case if a problem occurs on flow line, operator can stop the flow line. Ultimately defective pieces will not move to the next station. This concept minimizes the defects, over production and minimizes wastes. Also its focus is to understand the causes of problems and then taking preventive action to reduce them.History of Jidoka is back in early 1900’s, when first loom was stopped due to breakage of thread. The concept of automated line is being used to relieve workers and minimize human related errors. The purpose of Jidoka implementation is to diagnose the defect immediately and correct it accordingly. Jidoka is being effectively used in TPM, Lean Manufacturing and providing substantial benefits to the organizations.

Rundeck.org - Open Source Workflow Automation

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