Abstract
A classic question in software development is "How much testing is enough?" Aside from dynamic coverage-based metrics, there are few measures that can be used to provide guidance on the quality of an automatic test suite as development proceeds. This paper utilizes the software testing and reliability early warning (STREW) static metric suite to provide a developer with indications of changes and additions to their automated unit test suite and code for added confidence that product quality will be high. Retrospective case studies to assess the utility of using the STREW metrics as a feedback mechanism were performed in academic, open source and industrial environments. The results indicate at statistically significant levels the ability of the STREW metrics to provide feedback on important attributes of an automatic test suite and corresponding code.
Original language | English |
---|---|
Title of host publication | The 16th IEEE International Symposium on Software Reliability Engineering (ISSRE 2005) |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 85-94 |
ISBN (Print) | 0-7695-2482-6 |
DOIs | |
Publication status | Published - 2005 |
MoE publication type | A4 Article in a conference publication |
Event | 16th IEEE International Symposium on Software Reliability Engineering (ISSRE 2005) - Chicago, United States Duration: 8 Nov 2005 → 11 Nov 2005 |
Conference
Conference | 16th IEEE International Symposium on Software Reliability Engineering (ISSRE 2005) |
---|---|
Country/Territory | United States |
City | Chicago |
Period | 8/11/05 → 11/11/05 |
Keywords
- feedback
- program testing
- software metrics
- software quality
- software reliability
- automatic test suite metrics
- product quality
- reliability early warning static metric suite
- software development
- software testing
- static source code
- test quality feedback