Abstract | ||
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Software testing has been one of the important area for software engineering to contribute high quality software. Decision table testing is a general technique to develop test cases from information about conditions and actions from software requirements. Extracting conditions and actions from requirements is the key for efficient decision table testing. We propose, experiment upon, and evaluate the syntactic rules of conditions and actions for automatic software test cases generation. Our approach uses natural language processing to select sentences from the requirements on the basis of syntactic similarity, and then to determines conditions and actions through dependency and case analysis. Experiments revealed that F-measure reached from 0.70 to 0.77 for different style of descriptions. The results on case studies further demonstrate the effectiveness of our technique. |
Year | DOI | Venue |
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2016 | 10.1145/3012258.3012262 | ICIME |
Keywords | Field | DocType |
Requirement Analysis, Syntactic Rules, Software Testing | Computer science,Requirements analysis,Natural language processing,Artificial intelligence,Software verification and validation,Software requirements specification,Software construction,Non-functional testing,Software development,Software verification,Software requirements | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Satoshi Masuda | 1 | 12 | 5.13 |
Tohru Matsuodani | 2 | 17 | 7.41 |
Kazuhiko Tsuda | 3 | 108 | 47.18 |