Regression Test Selection Tool for Python in Continuous Integration Process

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Pysyväisosoite

http://hdl.handle.net/10138/333461

Lähdeviite

Kauhanen , E O , Nurminen , J K , Mikkonen , T & Pashkovskiy , M 2021 , Regression Test Selection Tool for Python in Continuous Integration Process . in 4th International Workshop on Validation, Analysis and Evolution of Software Tests (VST’2021) co-located with SANER 2021 . IEEE , pp. 618 - 621 , IEEE International Conference on Software Analysis, Evolution and Reengineering , Honolulu , United States , 09/03/2021 . https://doi.org/10.1109/SANER50967.2021.00077

Julkaisun nimi: Regression Test Selection Tool for Python in Continuous Integration Process
Tekijä: Kauhanen, Eero Olavi; Nurminen, Jukka K; Mikkonen, Tommi; Pashkovskiy, Matvey
Tekijän organisaatio: Department of Computer Science
Empirical Software Engineering research group
Julkaisija: IEEE
Päiväys: 2021-03
Kieli: eng
Sivumäärä: 4
Kuuluu julkaisusarjaan: 4th International Workshop on Validation, Analysis and Evolution of Software Tests (VST’2021) co-located with SANER 2021
ISBN: 978-1-7281-9630-5
DOI-tunniste: https://doi.org/10.1109/SANER50967.2021.00077
URI: http://hdl.handle.net/10138/333461
Tiivistelmä: In this paper, we present a coverage-based regression test selection (RTS) approach and a developed tool for Python. The tool can be used either on a developer's machine or on build servers. A special characteristic of the tool is the attention to easy integration to continuous integration and deployment. To evaluate the performance of the proposed approach, mutation testing is applied to three open-source projects, and the results of the execution of full test suites are compared to the execution of a set of tests selected by the tool. The missed fault rate of the test selection varies between 0-2% at file-level granularity and 16-24% at line-level granularity. The high missed fault rate at the line-level granularity is related to the selected basic mutation approach and the result could be improved with advanced mutation techniques. Depending on the target optimization metric (time or precision) in DevOps/MLOps process the error rate could be acceptable or further improved by using file-level granularity based test selection.
Avainsanat: 113 Computer and information sciences
Regression test selection
test automation
continuous integration
mutation testing
software engineering
Vertaisarvioitu: Kyllä
Pääsyrajoitteet: openAccess
Rinnakkaistallennettu versio: acceptedVersion
Rahoittaja: Business Finland Oy
Rahoitusnumero: 4348/31/2019


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