AI and machine learning gets into software test automation

February 28, 2020 //By Julien Happich
test automation
The latest release of Parasoft C/C++test applies a new approach to expedite software code analysis findings and increase the productivity of automated software testing, allowing teams to achieve industry compliance standards easily.

The new version (2020.1) integrates an innovative technique for increasing structural coverage from unit testing through advanced code analysis for C/C++ and Java. This now significantly reduces the burden of testing efforts required by standards such as ISO 26262 (Automotive), DO-178B/C (Aerospace), IEC 62304 (Medical Devices) and IEC 61508 (Functional Safety). Its unique application of AI/Machine Learning helps organizations with the adoption of Static Analysis. Parasoft’s AI-solution reviews new static analysis findings in the context of both historical interactions with the code base and prior static analysis findings to predict relevance and prioritize the new findings. With expanded coverage for updated security standards (e.g. the 2019 CWE Top 25 and ‘on the cusp’), AUTOSAR C++14 and the new MISRA C 2012 Amendment 2, Parasoft continues to provide leading support for automated enforcement of industry coding guidelines. The tool has been integrated with Polarion, codeBeamer, and Jira, for enhanced requirements traceability. The bi-directional data exchange bridges the gap between requirements and the tests that validate them, to offer full traceability down to the code being developed, helping fulfill compliance to developing process standards such as ISO 26262 (Automotive), DO-178B/C (Aerospace), IEC 62304 (Medical Devices) and IEC 61508 (Functional Safety).

Parasoft - www.parasoft.com


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