Research Article
Using Fuzzy Logic Techniques for Assertion-Based Software Testing Metrics
Table 3
Developers’ confidence level on the correctness of their programs.
| (a) Boyer-Moore |
| | Unit name | Number of assertions | Confidence level |
| | Unit_1 | 4 | 20% | | Unit_2 | 3 | 70% | | Unit_3 | 2 | 50% | | Unit_4 | 2 | 80% |
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| (b) Raita |
| | Unit name | Number of assertions | Confidence level |
| | Unit_1 | 2 | 80% | | Unit_2 | 3 | 80% | | Unit_3 | 2 | 70% | | Unit_4 | 3 | 80% |
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| (c) CSA |
| | Unit name | Number of assertions | Confidence level |
| | Unit_1 | 3 | 80% | | Unit_2 | 3 | 80% | | Unit_3 | 3 | 30% | | Unit_4 | 2 | 20% | | Unit_5 | 2 | 80% |
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| (d) Horespool |
| | Unit name | Number of assertions | Confidence level |
| | Unit_1 | 4 | 30% | | Unit_2 | 4 | 80% | | Unit_3 | 4 | 40% |
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| (e) KR |
| | Unit name | Number of assertions | Confidence level |
| | Unit_1 | 5 | 30% | | Unit_2 | 3 | 60% | | Unit_3 | 3 | 80% | | Unit_4 | 3 | 80% |
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| (f) AXAMAC |
| | Unit name | Number of assertions | Confidence level |
| | Unit_1 | 4 | 80% | | Unit_2 | 4 | 50% | | Unit_3 | 4 | 80% |
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| (g) Morris_Patt |
| | Unit name | Number of assertions | Confidence level |
| | Unit_1 | 5 | 40% | | Unit_2 | 3 | 70% | | Unit_3 | 4 | 80% | | Unit_4 | 5 | 30% |
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| (h) Quick_Reverse |
| | Unit name | Number of assertions | Confidence level |
| | Unit_1 | 3 | 80% | | Unit_2 | 3 | 50% | | Unit_3 | 4 | 80% |
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| (i) Smith’s |
| | Unit name | Number of assertions | Confidence level |
| | Unit_1 | 5 | 40% | | Unit_2 | 4 | 50% | | Unit_3 | 2 | 80% |
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| (j) COLUSSI |
| | Unit name | Number of assertions | Confidence level |
| | Unit_1 | 6 | 50% | | Unit_2 | 5 | 50% | | Unit_3 | 3 | 80% | | Unit_4 | 2 | 80% | | Unit_5 | 2 | 70% |
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