Name
Abstract | ||
|---|---|---|
Test data generation using traditional software testing methods generally requires considerable manual effort and generates only a limited number of test cases before the amount of time expanded becomes unacceptably large. A rule-based framework that will automatically generate test data to achieve maximal branch coverage is presented. The design and discovery of rules used to generate meaningful test cases are also described. The rule-based approach allows this framework to be extended to include additional testing requirements and test case generation knowledge. |
Year | DOI | Venue |
|---|---|---|
1992 | 10.1007/BF00444293 | Journal of Intelligent and Robotic Systems |
Keywords | Field | DocType |
Rule-based systems,goodness values,software engineering,artificial intelligence,software testing,branch coverage | Test suite,Test harness,Data mining,Test Management Approach,Computer science,Manual testing,Test data,Test case,Test data generation,Reliability engineering,Keyword-driven testing | Journal |
Volume | Issue | ISSN |
5 | 2 | 0921-0296 |
Citations | PageRank | References |
4 | 1.16 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai-Hsiung Chang | 1 | 22 | 8.13 |
| James H. Cross, II | 2 | 1079 | 126.34 |
| W. Homer Carlisle | 3 | 20 | 4.97 |
| David Bruce Brown | 4 | 4 | 1.16 |