Tool Support for Refactoring Manual Tests

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TitreTool Support for Refactoring Manual Tests
Type de publicationConference Paper
Year of Publication2020
AuteursBernard E, Botella J, Ambert F, Legeard B, Utting M
Conference Name2020 IEEE 13TH INTERNATIONAL CONFERENCE ON SOFTWARE TESTING, VALIDATION AND VERIFICATION (ICST 2020)
PublisherIEEE; IEEE Comp Soc; Farfetech; Facebook; VMWare; Msg Life; Google; New Work Se
Conference Location10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
ISBN Number978-1-7281-5778-8
Mots-clésLightweight MBT, Machine Learning for Software Testing, Test suite minimisation, Test suite refactoring
Résumé

Manual test suites are typically described by natural language, and over time large manual test suites become disordered and harder to use and maintain. This paper focuses on the challenge of providing tool support for refactoring such test suites to make them more usable and maintainable. We describe how we have applied various machine-learning and NLP techniques and other algorithms to the refactoring of manual test suites, plus the tool support we have built to embody these techniques and to allow test suites to be explored and visualised. We evaluate our approach on several industry test suites, and report on the time savings that were obtained.

DOI10.1109/ICST46399.2020.00041