MSCCD

Zhu, Wenqing; Yoshida, N.; Kobayashi, Toshihiro; Choi, Eunjong; Takada, Hiroaki

doi:10.1145/3524610.3529161

Cited by 5 publications

(2 citation statements)

References 33 publications

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“…The process in ANTLR involves a formal grammar file to generate the parser. The grammar file includes the lexical rules and syntax of the parser [12].…”

Section: Related Workmentioning

confidence: 99%

Implementation Genetic Algorithm for Optimization of Kotlin Software Unit Test Case Generator

Satria Permana,

Muhammad Johan Alibasa,

Sri Widowati

2024

Jurnal Ilmu Komputer dan Informasi

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Unit testing has a significant role in software development and its impacts depend on the quality of test cases and test data used. To reduce time and effort, unit test generator systems can help automatically generate test cases and test data. However, there is currently no unit test generator for Kotlin programming language even though this language is popularly used for android application developments. In this study, we propose and develop a test generator system that utilizes genetic algorithm (GA) and ANTLR4 parser. GA is used to obtain the most optimal test cases and data for a given Kotlin code. ANTLR4 parser is used to optimize the mutation process in GA so that the mutation process is not totally random. Our model results showed that the average value of code coverage in generated unit tests against instruction coverage is 95.64%, with branch coverage of 76.19% and line coverage of 96.87%. In addition, only two out of eight generated classes produced duplicate test cases with a maximum of one duplication in each class. Therefore, it can be concluded that our optimization with GA on the unit test generator is able to produce unit tests with high code coverage and low duplication.

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“…The process in ANTLR involves a formal grammar file to generate the parser. The grammar file includes the lexical rules and syntax of the parser [12].…”

Section: Related Workmentioning

confidence: 99%

Implementation Genetic Algorithm for Optimization of Kotlin Software Unit Test Case Generator

Satria Permana,

Muhammad Johan Alibasa,

Sri Widowati

2024

Jurnal Ilmu Komputer dan Informasi

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“…The results revealed the effectiveness of the constructed algorithm over the existing techniques. [21]. This extractor was useful for extracting the semantic code blocks from a parse tree.…”

mentioning

confidence: 99%

Analysis of Evolution of Recent Trends in Code Clone Detection Techniques from Antiquated Techniques

Sehrawat,

Solanki,

Dalal

et al. 2023

Data Science and Intelligent Computing Techniques

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The process used to detect and reveal bugs from software is known as software testing. This is a process as well as practice. This approach is different from software development. It can be recognized as an integral element of software development. Clone testing is a popular type of software testing. It is used during software development to check for duplication in software. This approach not only saves the time but the efforts of the software programmers. The copy and paste program generate the code over and over again. Therefore, a bug found in one unit recurs in each copy. This makes the removal of bugs and protection of the software complex. Code cloning complicates the protection of software. A variety of recent methods of code clone detection and their evolution from antiquated techniques has been studied in this paper.

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