Name
Title | ||
|---|---|---|
Knowledge-based test planning: framework for a knowledge-based system to prepare a system test plan from system requirements |
Abstract | ||
|---|---|---|
Early planning for system acceptance testing will result in better prepared and executed tests of a system being delivered. Since system acceptance testing is tightly coupled to system requirements, a test plan can be derived directly from requirements statements. For complex systems with hundreds of requirements, knowledge-based support has the potential to improve the quality and timeliness of a test plan document. This article discusses a framework for such knowledge-based support. First, it describes a taxonomy for classifying requirements an two exercises given to testers to validate the taxonomy and the classification concept. Then, the test-types taxonomy, a rudimentary knowledge base, and matching algorithms are presented. The article gives a complete example of matching requirements statement to an appropriate test type for demonstrating system compliance. An overview is presented of ongoing efforts to construct a robust, knowledge-based product that will implement this framework to automatically prepare a system test plan from requirements. |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1016/0164-1212(93)90003-G | Journal of Systems and Software |
Keywords | Field | DocType |
knowledge-based system,system test plan,knowledge-based test planning,system requirement,knowledge base,knowledge based system | Test plan,Systems engineering,System testing,Computer science,Traceability matrix,System requirements specification,System requirements,Vision document,Non-functional testing,Non-functional requirement | Journal |
Volume | Issue | ISSN |
20 | 2 | The Journal of Systems & Software |
Citations | PageRank | References |
2 | 0.46 | 6 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dolly Samson | 1 | 2 | 1.14 |