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Search based techniques for software fault prediction: current trends and future directions

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Ruchika MalhotraAuthors Info & Claims

SBST 2014: Proceedings of the 7th International Workshop on Search-Based Software Testing

Pages 35 - 36

https://doi.org/10.1145/2593833.2593842

Published: 02 June 2014 Publication History

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Abstract

The effective allocation of the resources is crucial and essential in the testing phase of the software development life cycle so that the weak areas in the software can be verified and validated efficiently. The prediction of fault prone classes in the early phases of software development can help software developers to focus the limited available resources on those portions of software, which are more prone to fault. Recently, the search based techniques have been successfully applied in the software engineering domain. In this study, we analyze the position of search based techniques for use in software fault prediction by collecting relevant studies from the literature which were conducted during the period January 1991 to October 2013. We further summarize current trends by assessing the performance capability of the search based techniques in the existing research and suggest future directions.

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Cited By

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Mustaqeem MAlam MMustajab SAlshanketi FAlam SShuaib M(2025)Comprehensive Bibliographic Survey and Forward-Looking Recommendations for Software Defect Prediction: Datasets, Validation Methodologies, Prediction Approaches, and ToolsIEEE Access10.1109/ACCESS.2024.351741913(866-903)Online publication date: 2025
https://doi.org/10.1109/ACCESS.2024.3517419
Malhotra RLata K(2023)Analysis of Hybridized Techniques with Class Imbalance Learning for Predicting Software MaintainabilityInternational Journal of Reliability, Quality and Safety Engineering10.1142/S021853932350006730:02Online publication date: 26-Apr-2023
https://doi.org/10.1142/S0218539323500067
Malhotra RChawla SSharma A(2023)Software defect prediction using hybrid techniques: a systematic literature reviewSoft Computing10.1007/s00500-022-07738-w27:12(8255-8288)Online publication date: 17-Jan-2023
https://doi.org/10.1007/s00500-022-07738-w
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Index Terms

Search based techniques for software fault prediction: current trends and future directions
1. General and reference
  1. Cross-computing tools and techniques
    1. Metrics
    2. Performance
2. Software and its engineering
  1. Software organization and properties
    1. Extra-functional properties
      1. Software performance

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Published In

SBST 2014: Proceedings of the 7th International Workshop on Search-Based Software Testing

June 2014

38 pages

ISBN:9781450328524

DOI:10.1145/2593833

Program Chairs:
Phil McMinn,
Mark Harman

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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TCSE: IEEE Computer Society's Tech. Council on Software Engin.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 June 2014

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ICSE '14

Sponsor:

SIGSOFT

ICSE '14: 36th International Conference on Software Engineering

June 2 - 3, 2014

Hyderabad, India

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ICSE 2025

2025 IEEE/ACM 46th International Conference on Software Engineering

April 26 - May 3, 2025

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Cited By

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Mustaqeem MAlam MMustajab SAlshanketi FAlam SShuaib M(2025)Comprehensive Bibliographic Survey and Forward-Looking Recommendations for Software Defect Prediction: Datasets, Validation Methodologies, Prediction Approaches, and ToolsIEEE Access10.1109/ACCESS.2024.351741913(866-903)Online publication date: 2025
https://doi.org/10.1109/ACCESS.2024.3517419
Malhotra RLata K(2023)Analysis of Hybridized Techniques with Class Imbalance Learning for Predicting Software MaintainabilityInternational Journal of Reliability, Quality and Safety Engineering10.1142/S021853932350006730:02Online publication date: 26-Apr-2023
https://doi.org/10.1142/S0218539323500067
Malhotra RChawla SSharma A(2023)Software defect prediction using hybrid techniques: a systematic literature reviewSoft Computing10.1007/s00500-022-07738-w27:12(8255-8288)Online publication date: 17-Jan-2023
https://doi.org/10.1007/s00500-022-07738-w
Malhotra RJain J(2021)Predicting Software Defects for Object-Oriented Software Using Search-based TechniquesInternational Journal of Software Engineering and Knowledge Engineering10.1142/S021819402150005431:02(193-215)Online publication date: 2-Mar-2021
https://doi.org/10.1142/S0218194021500054
Malhotra RLata K(2020)Improving Software Maintainability Predictions using Data Oversampling and Hybridized Techniques2020 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC48606.2020.9185809(1-7)Online publication date: Jul-2020
https://doi.org/10.1109/CEC48606.2020.9185809
Malhotra RKhanna M(2018)An exploratory study for software change prediction in object-oriented systems using hybridized techniquesAutomated Software Engineering10.1007/s10515-016-0203-024:3(673-717)Online publication date: 26-Dec-2018
https://dl.acm.org/doi/10.1007/s10515-016-0203-0
Malhotra RKhanna MRaje R(2017)On the application of search-based techniques for software engineering predictive modeling: A systematic review and future directionsSwarm and Evolutionary Computation10.1016/j.swevo.2016.10.00232(85-109)Online publication date: Feb-2017
https://doi.org/10.1016/j.swevo.2016.10.002
Malhotra R(2015)ReferencesEmpirical Research in Software Engineering10.1201/b19292-15(445-458)Online publication date: 29-Sep-2015
https://doi.org/10.1201/b19292-15

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