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Gradle – Free software build automation tool; with a Groovy- and Kotlin-based domain specific language (DSL), combining features of Apache Ant and Apache Maven with more features like a reliable incremental build; Grunt – JavaScript build tool; Gulp – Server-side JavaScript build tool
Jenkins and Hudson therefore continued as two independent projects, [13] each claiming the other was the fork. As of June 2019, the Jenkins organization on GitHub had 667 project members and around 2,200 public repositories, [14] compared with Hudson's 28 project members and 20 public repositories with the last update in 2016. [15]
Maven will automatically download the dependency and the dependencies that Hibernate itself needs (called transitive dependencies) and store them in the user's local repository. Maven 2 Central Repository [ 2 ] is used by default to search for libraries, but one can configure the repositories to be used (e.g., company-private repositories ...
A software build is the process of converting source code files into standalone software artifact(s) that can be run on a computer, or the result of doing so. [1]In software production, builds optimize software for performance and distribution, packaging into formats such as '.exe'; '.deb'; '.apk'.
Gradle builds on the concepts of Apache Ant and Apache Maven, and introduces a Groovy- and Kotlin-based domain-specific language contrasted with the XML-based project configuration used by Maven. [3] Gradle uses a directed acyclic graph to determine the order in which tasks can be run, through providing dependency management.
SonarQube (formerly Sonar) [3] is an open-source platform developed by SonarSource for continuous inspection of code quality to perform automatic reviews with static analysis of code to detect bugs and code smells on 29 programming languages.
Former logo. Docker is a set of platform as a service (PaaS) products that use OS-level virtualization to deliver software in packages called containers. [5] The service has both free and premium tiers.
The lookup3 function consumes input in 12 byte (96 bit) chunks. [9] It may be appropriate when speed is more important than simplicity. Note, though, that any speed improvement from the use of this hash is only likely to be useful for large keys, and that the increased complexity may also have speed consequences such as preventing an optimizing compiler from inlining the hash function.