Research Article
Finding Proneness of S/W using Class Hierarchy Method
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 22 - Issue 6 |
| Published: May 2011 |
| Authors: Malan V. Gaikwad, Akhil Khare, Aparna S. Nakil |
10.5120/2586-3573
|
Malan V. Gaikwad, Akhil Khare, Aparna S. Nakil . Finding Proneness of S/W using Class Hierarchy Method. International Journal of Computer Applications. 22, 6 (May 2011), 34-38. DOI=10.5120/2586-3573
@article{ 10.5120/2586-3573,
author = { Malan V. Gaikwad,Akhil Khare,Aparna S. Nakil },
title = { Finding Proneness of S/W using Class Hierarchy Method },
journal = { International Journal of Computer Applications },
year = { 2011 },
volume = { 22 },
number = { 6 },
pages = { 34-38 },
doi = { 10.5120/2586-3573 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2011
%A Malan V. Gaikwad
%A Akhil Khare
%A Aparna S. Nakil
%T Finding Proneness of S/W using Class Hierarchy Method%T
%J International Journal of Computer Applications
%V 22
%N 6
%P 34-38
%R 10.5120/2586-3573
%I Foundation of Computer Science (FCS), NY, USA
Abstract
When it is requiring, releasing a new version of software it is helpful to take reference of old version. If developers know in advance which classes or methods of software may be change or will cause faults then developers can focus more on these classes.
References
- R. Arnold and S. Bohner, “Impact Analysis – Toward a Framework for Comparison,” in Proceedings of the IEEE International Conference on Software Maintenance (ICSM), 1993, pp. 292–301.
- T. L. Graves, A. F. Karr, J. S. Marron, and H. Siy,“Predicting fault incidence using software change history,”IEEE Trans. on Soft. Eng., vol. 26, no. 7, pp. 653–661,2000
- T. Girba, S. Ducasse, and M. Lanza, “Yesterdays Weather: Guiding Early Reverse Engineering Efforts by Summarizing the Evolution of Changes,” in Proceedings of the IEEE International Conference on Software Maintenance (ICSM), 2004, pp. 284–293
- A. Mockus and D. M. Weiss, “Predicting risk of software changes,” Bell Labs Technical Journal, vol. 5, no. 2, pp. 169 – 180, April 2000.
- E. Arisholm, L. Briand, and A. Foyen
- , “Dynamic Coupling Measurement for Object-Oriented Software,” IEEE Trans.on Soft. Eng., vol. 30, no. 8, pp. 491–506, 2004.
- Software Fault Prediction of Unlabeled Program Modules by C. Catal, U. Sevim, and B. Diri, Member, IAENGin the Proceedings of the World Congress on Engineering 2009 Vol I
- Software Fault Prediction of Unlabeled Program Modules by C. Catal, U. Sevim, and B. Diri, Member, IAENG in the Proceedings of the World Congress on Engineering 2009 Vol I
- A Fuzzified Approach for the Prediction of Fault Proneness and Defect Density in the Proceedings of the World Congress on Engineering 2009 Vol. I WCE 2009, July 1 - 3, 2009, London, U.K. by Sunint K. Khalsa
- Change Prediction in Object-Oriented Software Systems: A Probabilistic Approach by Ali R. Sharafat and Ladan Tahvildari in Journal of software vol. 3, no. 5, may 2008.
- A Genetic Algorithm Based Classification Approach for Finding Fault Prone Classes in the World Academy of Science, Engineering and Technology 60 2009 by Parvinder S. Sandhu, Satish Kumar Dhiman, Anmol Goyal
- Predicting the Probability of Change in Object-Oriented Systems Nikolaos Tsantalis, Alexander Chatzigeorgiou, in, in IEEE Transactions on software engineering, vol.31, no.7, July 2005.
- ”Class hierarchy method to find change proneness” by Malan V.Gaikwad, prof. Akhil khare, A.S.Nakil in the International journal of Computer Science and Engg.Vol.3 issue 1.
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