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Agent-Based Software Testing: A Definition and Systematic Mapping Study
Mälardalen University.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-7852-4582
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2416-4205
2020 (English)In: Proceedings - Companion of the 2020 IEEE 20th International Conference on Software Quality, Reliability, and Security, QRS-C 2020, 2020, p. 24-31, article id 9282616Conference paper, Published paper (Refereed)
Abstract [en]

The emergence of new technologies in software testing has increased the automation and flexibility of the testing process. The use of agents in software testing is an active research area in which various agent methodologies, architectures, and tools are employed to improve different test problems. Even though research that investigates agents in software testing has been growing, these agent-based techniques should be considered in a broader perspective. In order to provide a comprehensive overview of this research area, which we define as agent-based software testing (ABST), a systematic mapping study has been conducted. This mapping study aims to identify the topics studied within ABST, as well as examine the adopted research methodologies, identify the gaps in the current research and point to directions for future ABST research. Our results suggest that there is an interest in ABST after 1999 that resulted in the development of solutions using reactive, BDI, deliberative and cooperate agent architectures for software testing. In addition, most of the ABST approaches are designed using the JADE framework, have targeted the Java programming language, and are used at system-level testing for functional, non-functional and white-box testing. In regards to regression testing, our results indicate a scarce focus from the ABST perspective.

Place, publisher, year, edition, pages
2020. p. 24-31, article id 9282616
National Category
Engineering and Technology Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-49981DOI: 10.1109/QRS-C51114.2020.00016ISI: 000682774300004Scopus ID: 2-s2.0-85099397347ISBN: 9781728189154 (print)OAI: oai:DiVA.org:mdh-49981DiVA, id: diva2:1471783
Conference
20th IEEE International Conference on Software Quality, Reliability, and Security, QRS 2020; Macau; China; 11 December 2020 through 14 December 2020
Projects
XIVT - eXcellence in Variant TestingAvailable from: 2020-09-29 Created: 2020-09-29 Last updated: 2021-09-09Bibliographically approved

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Frasheri, MirgitaEnoiu, Eduard Paul

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