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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nikora, A.P. Munson, J.C. |
| Copyright Year | 2003 |
| Description | Author affiliation: Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA (Nikora, A.P.) |
| Abstract | Over the past several years, we have been developing methods of predicting the fault content of software systems based on measured characteristics of their structural evolution. In previous work, we have shown there is a significant linear relationship between code churn, a synthesized metric, and the rate at which faults are inserted into the system in terms of number of faults per unit change in code churn. We have begun a new investigation of this relationship with a flight software technology development effort at the jet propulsion laboratory (JPL) and have progressed in resolving the limitations of the earlier work in two distinct steps. First, we have developed a standard for the enumeration of faults. Second, we have developed a practical framework for automating the measurement of these faults. we analyze the measurements of structural evolution and fault counts obtained from the JPL flight software technology development effort. Our results indicate that the measures of structural attributes of the evolving software system are suitable for forming predictors of the number of faults inserted into software modules during their development. The new fault standard also ensures that the model so developed has greater predictive validity. |
| Sponsorship | IEEE Comput. Soc. Tech. Council on Software Eng |
| Starting Page | 338 |
| Ending Page | 350 |
| File Size | 304978 |
| Page Count | 13 |
| File Format | |
| ISBN | 0769519873 |
| ISSN | 15301435 |
| DOI | 10.1109/METRIC.2003.1232479 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-09-05 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Software systems Software measurement Standards development Propulsion Laboratories Measurement standards Software standards Predictive models Time measurement Computer science |
| Content Type | Text |
| Resource Type | Article |
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