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| The Impact of Dynamic Metrics on Identification of the Failure Prone Parts of the Software | |
| Point of Contact |
Katerina Goseva-Popstojanova Katerina.Goseva@mail.wvu.edu |
| Dates | June 2006 - June 2009 |
| Problem | The exponential growth of the size and complexity of software applications makes it infeasible to apply sufficient reviews, inspections, and testing on all product parts, given limited time and resources. Since many previous empirical studies have shown that a large majority of problems originate in a small proportion of the modules (80:20 principle), it is clear that the identification of the most problematic parts holds enormous potential for reducing the IV&V cost and improving software quality. This proposal is focused on defining a set of dynamic metrics and developing methods for identification of failure prone parts of the software based on these metrics. We expect the benefit from the proposed research to be far reaching, from improving the effectiveness of the IV&V process through improved decision support, prioritization, and better allocation of testing resources to improving the quality of software products (i.e., leading to fewer operational failures). |
| Objective | The long term objective of this proposal is to study the impact of dynamic metrics on the identification and characterization of failure prone parts of the software applications. The specific milestones include defining a set of dynamic metrics and using open source applications to actually execute software on a set of test cases and collect dynamic metrics and failure data (FY06), developing methods for identification of failure prone parts of the software based on dynamic metrics and, if needed, refining the set of dynamic metrics (FY07), and applying the best practices and lessons learned from the empirical studies with open source software to NASA software projects (FY08). |
| Results |
SAS 06 Executive Presentation.ppt SAS 06 Technical Presentation.ppt SAS_07_Exec_Brief_Dynamic_Metrics_Goseva-Popstojanova.ppt SAS_07_Tech_Pres_Dynamic_Metrics_Goseva-Popstojanova.ppt |
| Keywords | fault proneness, failure proneness, empirical study, static metrics, dynamic metrics |
| Categories |
Dynamic Analysis Test Analysis |
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Curator: Josh Stonestreet NASA Official: Lisa Montgomery |
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