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In 2011, creator Kohsuke Kawaguchi received an O'Reilly Open Source Award for his work on the Hudson/Jenkins project. [16] On April 20, 2016, version 2 was released with the Pipeline plugin enabled by default. [17] The plugin allows for writing build instructions using a domain specific language based on Apache Groovy.
An open-source tool designed to find faults in the Linux kernel. Splint: 2007-07-12 (3.1.2) Yes; GPLv2 — C — — — — — An open-source tool statically checking C programs for security vulnerabilities and coding mistakes. StyleCop: 2016-05-02 (2016.1.0) Yes; Ms-PL — C# — — .NET — — Analyzes C# source code to enforce a set of ...
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In 2011, he received Google-O'Reilly Open Source Award for his work on the Hudson/Jenkins projects. In 2014, Kawaguchi became the Chief Technology Officer for CloudBees. [14] In January 2020, Kawaguchi transitioned to a CloudBees adviser and stepped away from Jenkins and CloudBees [15] to focus on a new startup, Launchable, Inc.
Modern microprocessors tend to have quite long pipelines so that the misprediction delay is between 10 and 20 clock cycles. As a result, making a pipeline longer increases the need for a more advanced branch predictor. [6] The first time a conditional jump instruction is encountered, there is not much information to base a prediction on.
Hudson is a discontinued continuous integration (CI) tool written in Java, which runs in a servlet container such as Apache Tomcat or the GlassFish application server. It supports SCM tools including CVS, Subversion, Git, Perforce, Clearcase and RTC, and can execute Apache Ant and Apache Maven based projects, as well as arbitrary shell scripts and Windows batch commands.
The earliest known work (1989) on continuous integration was the Infuse environment developed by G. E. Kaiser, D. E. Perry, and W. M. Schell. [4]In 1994, Grady Booch used the phrase continuous integration in Object-Oriented Analysis and Design with Applications (2nd edition) [5] to explain how, when developing using micro processes, "internal releases represent a sort of continuous integration ...
In software engineering, a pipeline consists of a chain of processing elements (processes, threads, coroutines, functions, etc.), arranged so that the output of each element is the input of the next. The concept is analogous to a physical pipeline .