Dabich, Djuradj and Clarke, Peter J. and 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
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: |
https://doi.org/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 |
| URI: |
|
| 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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