Name
Abstract | ||
|---|---|---|
Error recovery testing is an important part of software testing, especially for safety-critical systems. We show how an AI planning system and concepts of mutation testing can be combined to generate error recovery tests for software. We identify a set of mutation operations on the representation that the planner uses when generating test cases. These mutations cause error recovery test cases to be generated. The paper applies these concepts to the testing of a large tape storage system. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/ISSRE.2000.885871 | ISSRE |
Keywords | Field | DocType |
mutation testing,safety-critical system,ai planning system,error recovery test,mutation operation,software testing,error recovery testing,large tape storage system,error recovery test case,test case,magnetic tape storage,generalization error,safety critical systems,ai planning,system testing,artificial intelligence,storage system | Test Management Approach,Computer science,System testing,Manual testing,Non-regression testing,White-box testing,Regression testing,Software reliability testing,Reliability engineering,Keyword-driven testing | Conference |
ISBN | Citations | PageRank |
0-7695-0807-3 | 3 | 0.37 |
References | Authors | |
16 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anneliese von Mayrhauser | 1 | 1178 | 323.38 |
| Michael Scheetz | 2 | 39 | 3.52 |
| Eric Dahlman | 3 | 46 | 4.19 |
| Adele E. Howe | 4 | 561 | 65.70 |