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CUTER: ClUstering-based test suite reduction

Authors:

Carmen Coviello,

Simone Romano,

Giuseppe ScannielloAuthors Info & Claims

ICSE '18: Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings

Pages 306 - 307

https://doi.org/10.1145/3183440.3194983

Published: 27 May 2018 Publication History

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Abstract

Test Suite Reduction (TSR) approaches speed up regression testing by removing redundant test cases. TSR approaches can be classified as adequate or inadequate. Adequate approaches reduce test suites so that they completely preserve the test requirements (e.g., statement coverage) of the original test suites. Inadequate approaches produce reduced test suites that only partially preserve the test requirements. We propose a tool prototype for inadequate TSR and named it CUTER (ClUstering-based TEst suite Reduction). CUTER implements a clustering-based approach and a number of instances of its underlying process. We implemented CUTER as an Eclipse plug-in and applied it on 19 versions of four Java programs.

References

[1]

Carmen Coviello, Simone Romano, Giuseppe Scanniello, Alessandro Marchetto, Giuliano Antoniol, and Anna Corazza. 2018. Clustering Support for Inadequate Test Suite Reduction. In Proc. of International Conference on Software Analysis, Evolution and Reengineering. IEEE, 95--105.

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[2]

Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze. 2008. Introduction to Information Retrieval. Cambridge University Press, Cambridge.

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[3]

August Shi, Alex Gyori, Milos Gligoric, Andrey Zaytsev, and Darko Marinov. 2014. Balancing Trade-offs in Test-suite Reduction. In Proc. of International Symposium on Foundations of Software Engineering. ACM, 246--256.

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Cited By

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Koitz‐Hristov RSterner TStracke LWotawa F(2024)On the suitability of checked coverage and genetic parameter tuning in test suite reductionJournal of Software: Evolution and Process10.1002/smr.2656Online publication date: 11-Feb-2024
https://doi.org/10.1002/smr.2656
Alekseev YOnischuck MZorin AChernyi VIliyn EItsykson V(2023)ATSMJournal of Software: Evolution and Process10.1002/smr.262136:6Online publication date: 20-Sep-2023
https://dl.acm.org/doi/10.1002/smr.2621
Hu CMa SYang WSun ZDeng FYang Y(2021)Software Test Data Reuse Based on Domain Ontology Construction2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C)10.1109/QRS-C55045.2021.00049(279-284)Online publication date: Dec-2021
https://doi.org/10.1109/QRS-C55045.2021.00049
Show More Cited By

Index Terms

CUTER: ClUstering-based test suite reduction
1. Software and its engineering
  1. Software creation and management
    1. Software verification and validation
      1. Software defect analysis
        Software testing and debugging

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Published In

ICSE '18: Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings

May 2018

231 pages

ISBN:9781450356633

DOI:10.1145/3183440

Conference Chair:
Michel Chaudron
Chalmers University of Technology, University of Gothenburg, Sweden
,
General Chair:
Ivica Crnkovic
Chalmers University of Technology, University of Gothenburg, Sweden
,
Program Chairs:
Marsha Chechik
University of Toronto, Canada
,
Mark Harman
Facebook and University College London, United Kingdom

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 May 2018

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ICSE '18

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SIGSOFT
IEEE-CS

ICSE '18: 40th International Conference on Software Engineering

May 27 - June 3, 2018

Gothenburg, Sweden

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Overall Acceptance Rate 276 of 1,856 submissions, 15%

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Cited By

View all

Koitz‐Hristov RSterner TStracke LWotawa F(2024)On the suitability of checked coverage and genetic parameter tuning in test suite reductionJournal of Software: Evolution and Process10.1002/smr.2656Online publication date: 11-Feb-2024
https://doi.org/10.1002/smr.2656
Alekseev YOnischuck MZorin AChernyi VIliyn EItsykson V(2023)ATSMJournal of Software: Evolution and Process10.1002/smr.262136:6Online publication date: 20-Sep-2023
https://dl.acm.org/doi/10.1002/smr.2621
Hu CMa SYang WSun ZDeng FYang Y(2021)Software Test Data Reuse Based on Domain Ontology Construction2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C)10.1109/QRS-C55045.2021.00049(279-284)Online publication date: Dec-2021
https://doi.org/10.1109/QRS-C55045.2021.00049
Coviello CDumas MPfahl DApel SRusso A(2019)Distributed execution of test cases and continuous integrationProceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3338906.3341460(1148-1151)Online publication date: 12-Aug-2019
https://dl.acm.org/doi/10.1145/3338906.3341460
Kiran AAzam FAnwar MQasim ITufail H(2019)A Model-Driven Approach for Simplified Cluster Based Test Suite Optimization of Industrial Systems – An Introduction to UMLTSOComputer Information Systems and Industrial Management10.1007/978-3-030-28957-7_14(152-163)Online publication date: 19-Sep-2019
https://dl.acm.org/doi/10.1007/978-3-030-28957-7_14
Coviello CRomano SScanniello GOivo MMéndez DMockus A(2018)An empirical study of inadequate and adequate test suite reduction approachesProceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement10.1145/3239235.3240497(1-10)Online publication date: 11-Oct-2018
https://dl.acm.org/doi/10.1145/3239235.3240497

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Recommendations

An empirical study of inadequate and adequate test suite reduction approaches

A methodology for controlling the size of a test suite

Empirically evaluating Greedy-based test suite reduction methods at different levels of test suite complexity