Article

Making the Case for MORTO: Multi Objective Regression Test Optimization

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ICSTW '11: Proceedings of the 2011 IEEE Fourth International Conference on Software Testing, Verification and Validation Workshops

Pages 111 - 114

Published: 21 March 2011 Publication History

Abstract

This paper argues that regression test optimization problems such as selection and prioritization require multi objective optimization in order to adequately cater for real world regression testing scenarios. The paper presents several examples of costs and values that could be incorporated into such a Multi Objective Regression Test Optimization (MORTO) approach.

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Ali SLi YYue TZhang MGaleotti JPetke J(2017)An empirical evaluation of mutation and crossover operators for multi-objective uncertainty-wise test minimizationProceedings of the 10th International Workshop on Search-Based Software Testing10.5555/3105427.3105432(21-27)Online publication date: 20-May-2017
https://dl.acm.org/doi/10.5555/3105427.3105432
Liu PAi JXu Z(2017)Probability Model-Based Test Suite ReductionACM SIGSOFT Software Engineering Notes10.1145/3127360.312737142:3(1-6)Online publication date: 5-Sep-2017
https://dl.acm.org/doi/10.1145/3127360.3127371
Wang SAli SYue TBakkeli ØLiaaen MDillon LVisser WWilliams L(2016)Enhancing test case prioritization in an industrial setting with resource awareness and multi-objective searchProceedings of the 38th International Conference on Software Engineering Companion10.1145/2889160.2889240(182-191)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2889160.2889240
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Making the Case for MORTO: Multi Objective Regression Test Optimization
1. Information systems
  1. Data management systems
    1. Database administration
2. Theory of computation
  1. Design and analysis of algorithms

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Published In

ICSTW '11: Proceedings of the 2011 IEEE Fourth International Conference on Software Testing, Verification and Validation Workshops

March 2011

662 pages

ISBN:9780769543451

Publisher

IEEE Computer Society

United States

Publication History

Published: 21 March 2011

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Ali SLi YYue TZhang MGaleotti JPetke J(2017)An empirical evaluation of mutation and crossover operators for multi-objective uncertainty-wise test minimizationProceedings of the 10th International Workshop on Search-Based Software Testing10.5555/3105427.3105432(21-27)Online publication date: 20-May-2017
https://dl.acm.org/doi/10.5555/3105427.3105432
Liu PAi JXu Z(2017)Probability Model-Based Test Suite ReductionACM SIGSOFT Software Engineering Notes10.1145/3127360.312737142:3(1-6)Online publication date: 5-Sep-2017
https://dl.acm.org/doi/10.1145/3127360.3127371
Wang SAli SYue TBakkeli ØLiaaen MDillon LVisser WWilliams L(2016)Enhancing test case prioritization in an industrial setting with resource awareness and multi-objective searchProceedings of the 38th International Conference on Software Engineering Companion10.1145/2889160.2889240(182-191)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2889160.2889240
Wang SAli SYue TLi YLiaaen MDillon LVisser WWilliams L(2016)A practical guide to select quality indicators for assessing pareto-based search algorithms in search-based software engineeringProceedings of the 38th International Conference on Software Engineering10.1145/2884781.2884880(631-642)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2884781.2884880
Epitropakis MYoo SHarman MBurke EYoung MXie T(2015)Empirical evaluation of pareto efficient multi-objective regression test case prioritisationProceedings of the 2015 International Symposium on Software Testing and Analysis10.1145/2771783.2771788(234-245)Online publication date: 13-Jul-2015
https://dl.acm.org/doi/10.1145/2771783.2771788
Wang SAli SGotlieb A(2015)Cost-effective test suite minimization in product lines using search techniquesJournal of Systems and Software10.1016/j.jss.2014.08.024103:C(370-391)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1016/j.jss.2014.08.024
Wang SBuchmann DAli SGotlieb APradhan DLiaaen MFantechi AGnesi S(2014)Multi-objective test prioritization in software product line testingProceedings of the 18th International Software Product Line Conference - Volume 110.1145/2648511.2648515(32-41)Online publication date: 15-Sep-2014
https://dl.acm.org/doi/10.1145/2648511.2648515
Harman MJia YKrinke JLangdon WPetke JZhang YFantechi AGnesi S(2014)Search based software engineering for software product line engineeringProceedings of the 18th International Software Product Line Conference - Volume 110.1145/2648511.2648513(5-18)Online publication date: 15-Sep-2014
https://dl.acm.org/doi/10.1145/2648511.2648513
Anwar ZAhsan A(2014)Exploration and analysis of regression test suite optimizationACM SIGSOFT Software Engineering Notes10.1145/2557833.255784139:1(1-5)Online publication date: 11-Feb-2014
https://dl.acm.org/doi/10.1145/2557833.2557841
Sun WGao ZYang WFang CChen ZShin SMaldonado J(2013)Multi-objective test case prioritization for GUI applicationsProceedings of the 28th Annual ACM Symposium on Applied Computing10.1145/2480362.2480566(1074-1079)Online publication date: 18-Mar-2013
https://dl.acm.org/doi/10.1145/2480362.2480566
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Effectively prioritizing tests in development environment

Comparative study of machine learning test case prioritization for continuous integration testing

Scaling regression testing to large software systems

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