Dynamic random testing of web services: a methodology and evaluation

Sun, Chang-Ai and Dai, Hepeng and Wang, Guan and Towey, Dave and Chen, Tsong Yueh and Cai, Kai-Yuan (2019) Dynamic random testing of web services: a methodology and evaluation. IEEE Transactions on Services Computing . p. 1. ISSN 2372-0204

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Abstract

In recent years, Service Oriented Architecture (SOA) has been increasingly adopted to develop distributed applications in the context of the Internet. To develop reliable SOA-based applications, an important issue is how to ensure the quality of web services. In this paper, we propose a dynamic random testing (DRT) technique for web services, which is an improvement over the widely-practiced random testing (RT) and partition testing (PT). We examine key issues when adapting DRT to the context of SOA, including a framework, guidelines for parameter settings, and a prototype for such an adaptation. Empirical studies are reported where DRT is used to test three real-life web services, and mutation analysis is employed to measure the effectiveness. Our experimental results show that, compared with the three baseline techniques, RT, Adaptive Testing (AT) and Random Partition Testing (RPT), DRT demonstrates higher fault-detection effectiveness with a lower test case selection overhead. Furthermore, the theoretical guidelines of parameter setting for DRT are confirmed to be effective. The proposed DRT and the prototype provide an effective and efficient approach for testing web services. IEEE

Item Type: Article
Keywords: Software testing; random testing; dynamic random testing; web service; service oriented architecture; software cybernetics
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Computer Science
Identification Number: https://doi.org/10.1109/TSC.2019.2960496
Depositing User: QIU, Lulu
Date Deposited: 19 Aug 2020 08:09
Last Modified: 19 Aug 2020 08:09
URI: http://eprints.nottingham.ac.uk/id/eprint/61351

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