Hybrid Test Data Automatic Generation
Ahmed Samy Mohammed Kamel El-Serafy;
Abstract
Software used in safety critical domains such as aviation and automotive has to be rigorously tested. Since exhaustive testing is not feasible, Modified Condition/Decision Coverage (MC/DC) has been introduced as an effective structural coverage alternative. However, studies have shown that complementing the test cases satisfying MC/DC
to also satisfy Boundary Value Analysis (BVA) increases the bugfinding rate. Hence, the industry adopted its testing processes to accommodate both. Satisfying these coverage requirements manually is very expensive and as a result many efforts were put to automate this task. Genetic algorithms (GA) have shown their effectiveness so far in this area. I propose an approach employing GA techniques and targeting hybrid coverage criteria to increase BVA in addition to MC/DC.
to also satisfy Boundary Value Analysis (BVA) increases the bugfinding rate. Hence, the industry adopted its testing processes to accommodate both. Satisfying these coverage requirements manually is very expensive and as a result many efforts were put to automate this task. Genetic algorithms (GA) have shown their effectiveness so far in this area. I propose an approach employing GA techniques and targeting hybrid coverage criteria to increase BVA in addition to MC/DC.
Other data
| Title | Hybrid Test Data Automatic Generation | Other Titles | توليد أوتوماتيكي لبيانات الاختبارات بطرق مهجنة | Authors | Ahmed Samy Mohammed Kamel El-Serafy | Issue Date | 2015 |
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