Empirical Study of Effectiveness of EvoSuite on the SBST 2020 Tool Competition Benchmark

Herlim, Robert Sebastian; Hong, Shin; Kim, Yunho; Kim, Moonzoo

doi:10.1007/978-3-030-88106-1_9

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Empirical Study of Effectiveness of EvoSuite on the SBST 2020 Tool Competition Benchmark

Herlim, Robert Sebastian;
Hong, Shin;
Kim, Yunho;
Kim, Moonzoo

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초록

EvoSuite is a state-of-the-art search-based software testing tool for Java programs and many researchers have applied EvoSuite to achieve high test coverage. However, due to high complexity of object-oriented programs, EvoSuite still suffers several limitations in terms of test coverage achievement. In this paper, to improve the effectiveness of EvoSuite by analyzing EvoSuite’s limitations, we conducted an empirical study to identify the limitations of EvoSuite on the most recent SBST 2020 Tool Competition benchmark that consists of 70 classes selected from real-world Java projects. We have manually classified the branches of the target programs that EvoSuite could not cover and reported corresponding limitations of EvoSuite with concrete examples.

키워드

Empirical study; EvoSuite; SBST tool competition; Java programming language; Software testing; Empirical studies; Evosuite; High complexity; Java program; Object-oriented program; SBST tool competition; Search-based software testing; State of the art; Test-coverage; Testing tools; Object oriented programming

제목: Empirical Study of Effectiveness of EvoSuite on the SBST 2020 Tool Competition Benchmark

저자: Herlim, Robert Sebastian; Hong, Shin; Kim, Yunho; Kim, Moonzoo

DOI: 10.1007/978-3-030-88106-1_9

발행일: 2021-10

유형: Proceedings Paper

저널명: Lecture Notes in Computer Science

권: 12914 LNCS

페이지: 121 ~ 135