典型文献
Model-based automated testing of JavaScript Web applications via longer test sequences
文献摘要：
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 exten-sive 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.
文献关键词：
中图分类号：
作者姓名：
Pengfei GAO;Yongjie XU;Fu SONG;Taolue CHEN
作者机构：
School of Information Science and Technology,ShanghaiTech University,Shanghai 201210,China;Department of Computer Science,University of Surrey,Guildford GU2 7XH,UK
文献出处：
引用格式：
[1]Pengfei GAO;Yongjie XU;Fu SONG;Taolue CHEN-.Model-based automated testing of JavaScript Web applications via longer test sequences)[J].计算机科学前沿,2022(03):52-65
A类：
LJS,JSDEP
B类：
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AB值：
0.539806
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