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SonarQube JaCoCo plugin — one of the defaults for coverage analyses within the code quality management platform SonarQube; EclEmma Eclipse (software) Code Coverage Plugin, was formerly EMMA based [5] Jenkins JaCoCo Plugin [6] Netbeans JaCoCo support [7] IntelliJ IDEA since v11 [4] Gradle JaCoCo Plugin [8] [9] Maven JaCoCo Plugin [10] [11]
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.
Plugins have been released for Jenkins that extend its use to projects written in languages other than Java. Plugins are available for integrating Jenkins with most version control systems and bug databases. Many build tools are supported via their respective plugins. Plugins can also change the way Jenkins looks or add new functionality.
A code searching tool with an emphasis on finding software bugs. Search patterns are written in a query language which can search the AST and graphs (CFG, DFG, etc.) of supported languages. A plugin is available for Visual Studio. ConQAT (retired) 2015-02-01 Yes; ASL 2: Ada C#, C++ Java JavaScript — — ABAP
SonarQube Server (formerly SonarQube) is an open core product for static code analysis, with additional features offered in commercial editions. SonarQube Cloud (formerly SonarCloud) offers free analysis of open source projects. SonarQube for IDE (formerly SonarLint) is a free IDE extension for static analysis.
SpotBugs is the spiritual successor of FindBugs, carrying on from the point where it left off with support of its community. In 2016, the project lead of FindBugs was inactive but there are many issues in its community so Andrey Loskutov gave an announcement [16] to its community, and some volunteers tried creating a project with support for modern Java platform and better maintainability.
SonarQube: Platform for continuous inspection of code quality. Jasper Reports: Java reporting tool that can write to a variety of targets, such as: screen, a printer, into PDF, HTML, Microsoft Excel, RTF, ODT, Comma-separated values or XML files. Spock: Testing and specification framework for Java and Groovy applications. Spring Integration
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.