Increasing error detection in software testing using cuckoo algorithm and gravity search algorithm

سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 96

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شناسه ملی سند علمی:

CONFIT01_1012

تاریخ نمایه سازی: 4 مهر 1403

چکیده مقاله:

In software testing, due to the limitation of resources and time, it is not possible to re-execute this large volume of developing tests in each round of test repetition.It is necessary to select and prioritize the execution of tests,so that the execution of the most important test cases The intended goal for the testis to be completed sooner. In this article,the cuckoo search optimization algorithm and the gravity search algorithm are used to prioritize the test samples based on the full coverage of the errors. The test cases are prioritized based on the coverage criteria.With this implementation method, the power of error detection in the software test and the speed of error detection increases.

کلیدواژه ها:

:software tsting ، cuckoo search optimization algorithm ، gravity search algorithm ، Prioritizing test items

نویسندگان

Sattar meydani

Master's degree, Professor, Islamic Azad University, Kerman, Iran