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Automated analysis of flakiness-mitigating delays
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-8009-9052
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-5297-6548
Ericsson Sweden , Stockholm, Sweden.
2020 (English)In: Proceedings - 2020 IEEE/ACM 1st International Conference on Automation of Software Test, AST 2020, Association for Computing Machinery , 2020, p. 81-84Conference paper, Published paper (Refereed)
Abstract [en]

During testing of parallel systems, which allow asynchronous communication, test flakiness is sometimes avoided by explicitly inserting delays in test code. The choice of delay approach can be a trade-off between short-term gain and long-term robustness. In this work, we present an approach for automatic detection and classification of delay insertions, with the goal of identifying those that could be made more robust. The approach has been implemented using an open-source compiler tooling framework and validated using test code from the telecom industry. © 2020 Association for Computing Machinery.

Place, publisher, year, edition, pages
Association for Computing Machinery , 2020. p. 81-84
Keywords [en]
flakiness, Static analysis, Technical debt, Test code metrics, Test smells, Automation, Codes (symbols), Economic and social effects, Open source software, Open systems, Testing, Asynchronous communication, Automated analysis, Automatic Detection, Delay insertion, Mitigating delays, Parallel system, Short-term gains, Telecom industry, Software testing
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-52177DOI: 10.1145/3387903.3389320ISI: 001042455400009Scopus ID: 2-s2.0-85093518154ISBN: 9781450379571 (print)OAI: oai:DiVA.org:mdh-52177DiVA, id: diva2:1484671
Conference
2020 IEEE/ACM 1st International Conference on Automation of Software Test, AST 2020, 15 July 2020 through 16 July 2020
Note

Conference code: 162963; Export Date: 29 October 2020; Conference Paper

Available from: 2020-10-29 Created: 2020-10-29 Last updated: 2023-12-04Bibliographically approved

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Malm, JeanCausevic, AdnanLisper, Björn

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