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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