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Corensic intros Jinx for Linux, Windows developers

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CIOL Bureau
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SEATTLE, USA: Corensic announced general availability of Jinx 1.0, a software quality tool for Linux and Windows that will help developers, testers, and IT organizations improve the reliability of their applications when they are running in a multi-core environment.

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Multi-core processors enjoy significant usage in enterprise desktops and data centers, and many software developers are only just beginning to realize the full potential of these powerful processors. But developers still find it challenging to build high quality multi-core applications and avoid concurrency bugs.

Such bugs are enormously difficult to prevent, and once introduced, even more difficult to find, sometimes taking large development projects weeks and months to discover and resolve.

Jinx makes applications “unlucky” by forcing to find concurrency bugs to occur more frequently and then pointing out the location of the bugs to software developers. With Jinx, organizations can ship software faster, with greater reliability, and at significantly less cost said a press release.

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According to the release, Jinx 1.0 improves on previous beta releases by offering support for Java-based applications and Microsoft .NET-based applications. In addition, Jinx 1.0 includes improved bug-finding capabilities for Linux and Microsoft Windows-based native code applications, enabling developers building gaming, media rendering, financial services, health care, and other high-performance applications to more safely exploit the full power of multi-core processors.

“Even as the industry makes multi-core processors more prevalent and parallel software easier to build, the number and severity of concurrency bugs continues to rise. With Jinx, developers and QA professionals have an excellent safety net to ensure that they can ship reliable software,“ said Tom Phillips, CEO of Corensic.

The release added, Jinx was able to find concurrency bugs in the open source MySQL database server approximately 20-30 times faster than with conventional testing.

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