An approach for software white box testing with genetic algorithm
A genetic algorithm is proposed to software testing efficiency improve through the most critical paths detecting in software program’s control flaw diagram. The results of algorithm’s probation are done. As exhaustive testing is often impossible even for medium-sized programs, usually only some sepa...
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| Date: | 2018 |
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| Main Authors: | , |
| Format: | Article |
| Language: | Russian |
| Published: |
PROBLEMS IN PROGRAMMING
2018
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| Subjects: | |
| Online Access: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/41 |
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| Journal Title: | Problems in programming |
| Download file: |  |
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Problems in programming| Summary: | A genetic algorithm is proposed to software testing efficiency improve through the most critical paths detecting in software program’s control flaw diagram. The results of algorithm’s probation are done. As exhaustive testing is often impossible even for medium-sized programs, usually only some separate paths of the program are checked that aren’t obligatory the most fault-prone. That’s why the more flexible approach for test data generating is developed allowing the most critical paths to be checked first detection. An approach usage may can be instrumental in the rise of efficiency of testing |
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