Name
Abstract | ||
|---|---|---|
Results are presented of an analysis of several defect models using data collected from two large commercial projects. Traditional models typically use either program matrices (i.e. measurements from software products) or testing time or combinations of these as independent variables. The limitations of such models have been well-documented. The models considered use the number of defects detected in the earlier phases of the development process as the independent variable. This number can be used to predict the number of defects to be detected later, even in modified software products. A strong correlation between the number of earlier defects and that of later ones was found. Using this relationship, a mathematical model was derived which may be used to estimate the number of defects remaining in software. This defect model may also be used to guide software developers in evaluating the effectiveness of the software development and testing processes. |
Year | DOI | Venue |
|---|---|---|
1988 | 10.1109/32.6170 | IEEE Trans. Software Eng. |
Keywords | Field | DocType |
development process,software measurement,software reliability,resource management,software metrics,time measurement,phase detection,programming,software development,microelectronics,software testing,data collection,predictive models,mathematical model | Computer science,Matrix (mathematics),Software bug,Regression testing,Theoretical computer science,Software,Variables,Software quality,Software development,Software testing | Journal |
Volume | Issue | ISSN |
14 | 9 | 0098-5589 |
Citations | PageRank | References |
46 | 7.26 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tze-Jie Yu | 1 | 46 | 7.26 |
| V. Y. Shen | 2 | 293 | 50.74 |
| H. E. Dunsmore | 3 | 194 | 41.42 |