Empirical validation of object-oriented metrics for predicting fault proneness models-Reference-Cited by-同舟云学术

Empirical validation of object-oriented metrics for predicting fault proneness models

Published:2009-07-01 Issue:1 Volume:18 Page:3-35
ISSN:0963-9314
Container-title:Software Quality Journal
language:en
Short-container-title:Software Qual J

Author:

Singh Yogesh,Kaur Arvinder,Malhotra Ruchika

Publisher

Springer Science and Business Media LLC

Subject

Safety, Risk, Reliability and Quality,Software

Link

http://link.springer.com/content/pdf/10.1007/s11219-009-9079-6.pdf

Reference59 articles.

1. Afzal, W. (2007). Metrics in software test planning and test design processes. Ph.D. Disseration.

2. Aggarwal, K. K., Singh, Y., Kaur, A., & Malhotra, R. (2005). Software reuse metrics for object-oriented systems. In Proceedings of the Third ACIS Int’l Conference On Software Engineering Research, Management and Applications (SERA ‘05), 48–55.

3. Aggarwal, K. K., Singh, Y., Kaur, A., & Malhotra, R. (2006a). Empirical study of object-oriented metrics. Journal of Object Technology, 5(8), 149–173.

4. Aggarwal, K. K., Singh, Y., Kaur, A., & Malhotra, R. (2006b). Investigating the effect of coupling metrics on fault proneness in object-oriented systems. Software Quality Professional, 8(4), 4–16.

5. Aggarwal, K. K., Singh, Y., Kaur, A., & Malhotra, R. (2007). Application of artificial neural network for predicting fault proneness models. International conference on information systems, technology and management (ICISTM 2007), March 12–13, New Delhi, India.

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