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ITEA is the Eureka Cluster on software innovation
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AI Driven classification of Static Analysis Findings

Project
16032 TESTOMATproject
Type
New standard
Description

Automated suggestion of most relevant static analysis findings based on historic (previous) remediation.

Contact
Rix Groenboom
Email
Rix.Groenboom@parasoft.com
Technical features

Input(s):

  • Static analysis results for C/C++, JAVA and C#

Main feature(s):

  • Artificial Intelligence based clustering of the most relevant findings

Output(s):

  • Prioritization of the coding errors
Integration constraints

 Algortihm is available with the DTP platform, and works with Parasoft static analysis tools

Targeted customer(s)

Software engineers.

Conditions for reuse

Product is available under commercial license.

Confidentiality
Public
Publication date
31-08-2020
Involved partners
Parasoft Deutschland GmbH (DEU)