Dynamic random testing of web services: a methodology and evaluation
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 rand...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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2019
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| Online Access: | https://eprints.nottingham.ac.uk/61351/ |
| _version_ | 1848799865175277568 |
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| author | Sun, Chang-Ai Dai, Hepeng Wang, Guan Towey, Dave Chen, Tsong Yueh Cai, Kai-Yuan |
| author_facet | Sun, Chang-Ai Dai, Hepeng Wang, Guan Towey, Dave Chen, Tsong Yueh Cai, Kai-Yuan |
| author_sort | Sun, Chang-Ai |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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 |
| first_indexed | 2025-11-14T20:42:27Z |
| format | Article |
| id | nottingham-61351 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:42:27Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-613512020-08-19T08:09:57Z https://eprints.nottingham.ac.uk/61351/ Dynamic random testing of web services: a methodology and evaluation Sun, Chang-Ai Dai, Hepeng Wang, Guan Towey, Dave Chen, Tsong Yueh Cai, Kai-Yuan 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 2019-12-18 Article PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/61351/1/ilovepdf_merged%20%2816%29.pdf Sun, Chang-Ai, Dai, Hepeng, Wang, Guan, Towey, Dave, 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 Software testing; random testing; dynamic random testing; web service; service oriented architecture; software cybernetics http://dx.doi.org/10.1109/TSC.2019.2960496 doi:10.1109/TSC.2019.2960496 doi:10.1109/TSC.2019.2960496 |
| spellingShingle | Software testing; random testing; dynamic random testing; web service; service oriented architecture; software cybernetics Sun, Chang-Ai Dai, Hepeng Wang, Guan Towey, Dave Chen, Tsong Yueh Cai, Kai-Yuan Dynamic random testing of web services: a methodology and evaluation |
| title | Dynamic random testing of web services: a methodology and evaluation |
| title_full | Dynamic random testing of web services: a methodology and evaluation |
| title_fullStr | Dynamic random testing of web services: a methodology and evaluation |
| title_full_unstemmed | Dynamic random testing of web services: a methodology and evaluation |
| title_short | Dynamic random testing of web services: a methodology and evaluation |
| title_sort | dynamic random testing of web services: a methodology and evaluation |
| topic | Software testing; random testing; dynamic random testing; web service; service oriented architecture; software cybernetics |
| url | https://eprints.nottingham.ac.uk/61351/ https://eprints.nottingham.ac.uk/61351/ https://eprints.nottingham.ac.uk/61351/ |