Model-based automated testing of JavaScript Web applications via longer test sequences
2022-06
发表期刊FRONTIERS OF COMPUTER SCIENCE (IF:3.4[JCR-2023],3.1[5-Year])
ISSN2095-2228
EISSN2095-2236
卷号16期号:3
发表状态已发表
DOI10.1007/s11704-020-0356-7
摘要

JavaScript has become one of the most widely used languages for Web development. Its dynamic and event-driven features make it challenging to ensure the correctness of Web applications written in JavaScript. A variety of dynamic analysis techniques have been proposed which are, however, limited in either coverage or scalability. In this paper, we propose a simple, yet effective, model-based automated testing approach to achieve a high code-coverage within the time budget via testing with longer event sequences. We implement our approach as an open-source tool LJS, and perform extensive experiments on 21 publicly available benchmarks. On average, LJS is able to achieve 86.5% line coverage in 10 minutes. Compared with JSDEP, a state-of-the-art breadth-first search based automated testing tool enriched with partial order reduction, the coverage of LJS is 11%-19% higher than that of JSDEP on real-world large Web applications. Our empirical findings support that proper longer test sequences can achieve a higher code coverage in JavaScript Web application testing.

关键词model-based testing automated testing JavaScript Web applications
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收录类别SCIE ; EI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号WOS:000717497100006
出版者HIGHER EDUCATION PRESS
原始文献类型Article
Scopus 记录号2-s2.0-85118933837
来源库Scopus
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文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/131973
专题信息科学与技术学院_博士生
信息科学与技术学院_PI研究组_宋富组
信息科学与技术学院_硕士生
通讯作者Song, Fu
作者单位
1.School of Information Science and Technology,ShanghaiTech University,Shanghai,201210,China
2.Department of Computer Science,University of Surrey,Guildford,GU2 7XH,United Kingdom
第一作者单位信息科学与技术学院
通讯作者单位信息科学与技术学院
第一作者的第一单位信息科学与技术学院
推荐引用方式
GB/T 7714
Gao, Pengfei,Xu, Yongjie,Song, Fu,et al. Model-based automated testing of JavaScript Web applications via longer test sequences[J]. FRONTIERS OF COMPUTER SCIENCE,2022,16(3).
APA Gao, Pengfei,Xu, Yongjie,Song, Fu,&Chen, Taolue.(2022).Model-based automated testing of JavaScript Web applications via longer test sequences.FRONTIERS OF COMPUTER SCIENCE,16(3).
MLA Gao, Pengfei,et al."Model-based automated testing of JavaScript Web applications via longer test sequences".FRONTIERS OF COMPUTER SCIENCE 16.3(2022).
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