Name
Abstract | ||
|---|---|---|
Fundamental but virtually unexplored issues in human-computer interaction involve the roles of biases in software engineering tasks. In studies of naturalistic testing tasks, as well as ones which follow common laboratory models in this area, we have found ample evidence that testers have positive test bias. This bias is manifest as a tendency to execute about four times as many positive tests, designed to show that the program works, as tests which challenge the program. In our prior work, we have found that the expertise of the subjects, the completeness of the software specifications, and the presence/absence of program errors may reduce positive test bias. Skilled computer scientists invent specifications to test in the absence of actual specifications, but still exhibit positive test bias. |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1007/3-540-57433-6_50 | EWHCI |
Keywords | Field | DocType |
software testing,positive test bias,software engineering,software specification,human computer interaction | System integration testing,Personal software process,Computer science,Software peer review,Regression testing,Software reliability testing,Human–computer interaction,Acceptance testing,Software verification and validation,Software construction,Applied psychology | Conference |
ISBN | Citations | PageRank |
3-540-57433-6 | 9 | 0.66 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laura M. Leventhal | 1 | 75 | 16.28 |
| Barbee Teasley | 2 | 70 | 17.50 |
| Diane S. Rohlman | 3 | 19 | 2.27 |
| Keith Instone | 4 | 112 | 26.42 |