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| Completing the Loop: Linking Software Features to Failures | |
| Point of Contact |
Paul Garnett pgarnett@msisinc.com |
| Dates | July 2003 - July 2004 |
| Problem | We do not know how software features can predict software failures and defects. NASA has tools to identify system features. The NASA IV&V Facility has a database of system defects and failures. We need to link the defects with system features and provide this information in a form that can be used by machine learning tools to show how features can predict faults. |
| Objective | MSIS will develop tools and methods to integrate system analysis tools and defect tracking tools to create a missing link between software features and failures. Our hypotheses is that by integrating the output from software analysis tools and defect tracking tools, and then applying machine learning to the results, NASA will be able to find the predictors leading up to software faults. |
| Results |
PITS Modification and LINKER Requirements Documents.zip Linker Report on Testing Using Historical Data 5 17 04.doc Report on ODC use in PITS by Pilot Projects 5 17 04.doc MSIS 04 Technical Presentation FINAL.ppt Additional Software Feature Extractors Report.doc SAS 05 Technical Presentation.ppt SAS 05 Executive Presentation.ppt |
| Keywords | software failures, system defects, machine learning, static code analyzer |
| Categories |
Code Analysis Design Analysis Issue & Risk Tracking Requirements Analysis Test Analysis Traceability Analysis |
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Curator: Josh Stonestreet NASA Official: Lisa Montgomery |
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