Amir Ngah
Regression test selection model: a comparison between ReTSE and pythia
Ngah, Amir; Munro, Malcolm; Abdullah, Zailani; Jalil, Masita A.; Abdallah, Mohamad
Authors
Malcolm Munro
Zailani Abdullah
Masita A. Jalil
Mohamad Abdallah
Abstract
As software systems change and evolve over time regression tests have to be run to validate these changes. Regression testing is an expensive but essential activity in software maintenance. The purpose of this paper is to compare a new regression test selection model called ReTSE with Pythia. The ReTSE model uses decomposition slicing in order to identify the relevant regression tests. Decomposition slicing provides a technique that is capable of identifying the unchanged parts of a system. Pythia is a regression test selection technique based on textual differencing. Both techniques are compare using a Power program taken from Vokolos and Frankl’s paper. The analysis of this comparison has shown promising results in reducing the number of tests to be run after changes are introduced.
Citation
Ngah, A., Munro, M., Abdullah, Z., Jalil, M. A., & Abdallah, M. (2019). Regression test selection model: a comparison between ReTSE and pythia. TELKOMNIKA (Telecommunication, Computing, Electronics and Control), 17(2), 844-851. https://doi.org/10.12928/telkomnika.v17i2.10332
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 19, 2018 |
Online Publication Date | Apr 30, 2019 |
Publication Date | 2019-04 |
Deposit Date | Aug 21, 2019 |
Publicly Available Date | Aug 21, 2019 |
Journal | TELKOMNIKA Indonesian Journal of Electrical Engineering |
Print ISSN | 1693-6930 |
Electronic ISSN | 2302-9293 |
Publisher | Universitas Ahmad Dahlan |
Peer Reviewed | Peer Reviewed |
Volume | 17 |
Issue | 2 |
Pages | 844-851 |
DOI | https://doi.org/10.12928/telkomnika.v17i2.10332 |
Public URL | https://durham-repository.worktribe.com/output/1324399 |
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Copyright Statement
Copyright © 2019 Universitas Ahmad Dahlan. All rights reserved. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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