Tool Support for Refactoring Manual Tests

Elodie Bernard; Julien Botella; Fabrice Ambert; Bruno Legeard; Mark Utting

doi:10.1109/ICST46399.2020.00041

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Tool Support for Refactoring Manual Tests

Conference paper

Peer reviewed

Tool Support for Refactoring Manual Tests

Elodie Bernard, Julien Botella, Fabrice Ambert, Bruno Legeard and Mark Utting

2020 IEEE 13th International Conference on Software Testing, Validation and Verification (ICST), pp.332-342

International Conference on Software Testing, Verification and Validation, 13th (Porto, Portugal, 23-Mar-2020–27-Mar-2020)

Institute of Electrical and Electronics Engineers

2020

DOI: https://doi.org/10.1109/ICST46399.2020.00041

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Abstract

test suite refactoring

test suite minimisation

lightweight MBT

machine learning for software testing

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.

Details

Title: Tool Support for Refactoring Manual Tests
Authors: Elodie Bernard (Author) - Université Bourgogne Franche-Comté
Julien Botella (Author) - Smartesting
Fabrice Ambert (Author) - Université Bourgogne Franche-Comté
Bruno Legeard (Author) - Université Bourgogne Franche-Comté
Mark Utting (Author) - University of the Sunshine Coast, Queensland, USC Business School - Legacy
Publication details: 2020 IEEE 13th International Conference on Software Testing, Validation and Verification (ICST), pp.332-342
Conference details: International Conference on Software Testing, Verification and Validation, 13th (Porto, Portugal, 23-Mar-2020–27-Mar-2020)
Publisher: Institute of Electrical and Electronics Engineers
Date published: 2020
DOI: 10.1109/ICST46399.2020.00041
ISSN: 2159-4848
ISBN: 9781728157788
Organisation Unit: School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; USC Business School - Legacy
Language: English
Record Identifier: 99482299602621
Output Type: Conference paper

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