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Dabich, Djuradj, Clarke, Peter J., Power, James F. and Kibria, Golam B.M. (2011) Using a Class Abstraction Technique to Predict Faults in OO Classes: A case study through six releases of the Eclipse JDT. ACM Symposium On Applied Computing. pp. 1419-1424. ISSN 978-1-4503-0113-8
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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 empiri-
cally validate their ability to predict fault prone classes us-
ing 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 e�ective as
the traditional Chidamber and Kemerer metrics in identify-
ing fault-prone classes.
| Item Type: | Article |
|---|---|
| Keywords: | Class Abstraction Technique; Predict Faults; OO Classes; Eclipse JDT; |
| Academic Unit: | Faculty of Science and Engineering > Computer Science |
| Item ID: | 6356 |
| Identification Number: | 10.1145/1982185.1982492 |
| Depositing User: | Dr. James Power |
| Date Deposited: | 16 Sep 2015 10:55 |
| Journal or Publication Title: | ACM Symposium On Applied Computing |
| Publisher: | ACM |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/6356 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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