Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: ACTUAL PROBLEMS OF ELECTRONIC INSTRUMENT ENGINEERING (APEIE) - PROCEEDINGS APEIE - 2018; Novosibirsk; Novosibirsk
Год издания: 2018
Идентификатор DOI: 10.1109/APEIE.2018.8545975
Ключевые слова: software testing, Test case generation, genetic algorithm
Аннотация: Software testing is a fairly labor-intensive process, while not having obvious benefits and results, but being no less important than any other stage of the program life cycle. One of the main tasks of the testing phase is the development of initial test data that allows you to adequately evaluate the program code and find the mostПоказать полностьюimportant parts of the program. Intelligent technologies, in particular, the genetic algorithm, allow you to determine the most informative data suite, that will fully assess the quality of the program and identify program errors. In this paper, we propose and investigate an approach for possible integration of a genetic algorithm and a system for generating test data.
Журнал: ACTUAL PROBLEMS OF ELECTRONIC INSTRUMENT ENGINEERING (APEIE) - PROCEEDINGS APEIE - 2018
Выпуск журнала: 1. Part 4
Номера страниц: 535-540
Издатель: Новосибирский государственный технический университет