research-article

Using a class abstraction technique to predict faults in OO classes: a case study through six releases of the Eclipse JDT

Authors:

Djuradj Babich,

Peter J. Clarke,

James F. Power,

B. M. Golam KibriaAuthors Info & Claims

SAC '11: Proceedings of the 2011 ACM Symposium on Applied Computing

Pages 1419 - 1424

https://doi.org/10.1145/1982185.1982492

Published: 21 March 2011 Publication History

Abstract

In this paper, we propose an innovative suite of metrics based on a class abstraction that uses a taxonomy for OO classes (CAT) to capture aspects of software complexity through combinations of class characteristics. We empirically validate their ability to predict fault prone classes using fault data for six versions of the Java-based open-source Eclipse Integrated Development Environment. We conclude that this proposed CAT metric suite, even though it treats classes in groups rather than individually, is as effective as the traditional Chidamber and Kemerer metrics in identifying fault-prone classes.

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Cited By

Shaikh MTunio IKhan JJung Y(2024)Effort-Aware Fault-Proneness Prediction Using Non-API-Based Package-Modularization MetricsMathematics10.3390/math1214220112:14(2201)Online publication date: 13-Jul-2024
https://doi.org/10.3390/math12142201
Caulo MScanniello G(2020)A Taxonomy of Metrics for Software Fault Prediction2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)10.1109/SEAA51224.2020.00075(429-436)Online publication date: Aug-2020
https://doi.org/10.1109/SEAA51224.2020.00075
Caulo MDumas MPfahl DApel SRusso A(2019)A taxonomy of metrics for software fault predictionProceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3338906.3341462(1144-1147)Online publication date: 12-Aug-2019
https://dl.acm.org/doi/10.1145/3338906.3341462
Show More Cited By

Index Terms

Using a class abstraction technique to predict faults in OO classes: a case study through six releases of the Eclipse JDT
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
2. Software and its engineering
  1. Software creation and management
    1. Software development process management
      1. Software development methods
  2. Software notations and tools
    1. Development frameworks and environments

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cover image ACM Conferences

SAC '11: Proceedings of the 2011 ACM Symposium on Applied Computing

March 2011

1868 pages

ISBN:9781450301138

DOI:10.1145/1982185

Conference Chairs:
William Chu
Tunghai University, TaiChung, Taiwan
,
W. Eric Wong
University of Texas at Dallas, Richardson, Texas
,
Program Chairs:
Mathew J. Palakal
Indiana University Purdue University, Indianapolis
,
Chih-Cheng Hung
Southern Polytechnic State University, Marietta

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 21 March 2011

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March 21 - 24, 2011

TaiChung, Taiwan

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

Shaikh MTunio IKhan JJung Y(2024)Effort-Aware Fault-Proneness Prediction Using Non-API-Based Package-Modularization MetricsMathematics10.3390/math1214220112:14(2201)Online publication date: 13-Jul-2024
https://doi.org/10.3390/math12142201
Caulo MScanniello G(2020)A Taxonomy of Metrics for Software Fault Prediction2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)10.1109/SEAA51224.2020.00075(429-436)Online publication date: Aug-2020
https://doi.org/10.1109/SEAA51224.2020.00075
Caulo MDumas MPfahl DApel SRusso A(2019)A taxonomy of metrics for software fault predictionProceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3338906.3341462(1144-1147)Online publication date: 12-Aug-2019
https://dl.acm.org/doi/10.1145/3338906.3341462
Jabangwe RBörstler JSmite DWohlin C(2015)Empirical evidence on the link between object-oriented measures and external quality attributesEmpirical Software Engineering10.1007/s10664-013-9291-720:3(640-693)Online publication date: 1-Jun-2015
https://dl.acm.org/doi/10.1007/s10664-013-9291-7
Kim DNam JSong JKim SNotkin DCheng BPohl K(2013)Automatic patch generation learned from human-written patchesProceedings of the 2013 International Conference on Software Engineering10.5555/2486788.2486893(802-811)Online publication date: 18-May-2013
https://dl.acm.org/doi/10.5555/2486788.2486893
Kim DNam JSong JKim S(2013)Automatic patch generation learned from human-written patches2013 35th International Conference on Software Engineering (ICSE)10.1109/ICSE.2013.6606626(802-811)Online publication date: May-2013
https://doi.org/10.1109/ICSE.2013.6606626

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