Mon premier blog

Continuous Integration: Improving Software Quality and Reducing Risk Andrew Glover, Paul M. Duvall, Steve Matyas
Publisher:

By automating the software build process and providing instant notification of problems with the software's code, Bamboo helps development teams reduce project risk, improve productivity and enhance software quality. Continuing the JISC Enable Project technology retrospective, this post describes the approach we have used to automate parts of the software development process to improve the effectiveness of the development team. December 12, 2011 by pompermaier Leave a comment. Reduce Risk and Improve Software Quality in Continuous Integration Environments A Joint Webinar from Coverity And AccuRev Coverity research-library. We put our own twist on continuous integration by building into Bamboo build telemetry—Bamboo gives you heaps of metrics about your builds to help you see the big picture. Well, there I had attended the presentation on Continuous Integration from Paulo Caroli who is from ThoughtWorks. Continuous Integration: Improving Software Quality and Reducing Risk. Continuous integration aims to improve the quality of software, and to reduce the time taken to deliver it, by replacing the traditional practice of applying quality control after completing all development. Risks in Continuous Integration. Each integration is verified by an automated build (including test) to detect regularly, every committer can reduce the number of conflicting changes. Checking in a week's worth of work runs the risk of conflicting with other features and can be very difficult to resolve. Creating software that can be run by multiple threads concurrently is a daunting task—dwarfed only by the act of testing that code. I was very impressed by the methodology he discussed with us. An interesting read on “Continuous Integration: Improving Software Quality and Reducing Risk” by Paul M. The problems can be addressed immediately, thereby reducing the risk of the project because integration problems are tackled iteratively rather than in a more risky big bang manner late in the project.