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Automatic Reusability Appraisal of Software Components using Neuro-fuzzy Approach
Authors: Parvinder S. Sandhu, Hardeep Singh
Abstract:
Automatic reusability appraisal could be helpful in evaluating the quality of developed or developing reusable software components and in identification of reusable components from existing legacy systems; that can save cost of developing the software from scratch. But the issue of how to identify reusable components from existing systems has remained relatively unexplored. In this paper, we have mentioned two-tier approach by studying the structural attributes as well as usability or relevancy of the component to a particular domain. Latent semantic analysis is used for the feature vector representation of various software domains. It exploits the fact that FeatureVector codes can be seen as documents containing terms -the idenifiers present in the components- and so text modeling methods that capture co-occurrence information in low-dimensional spaces can be used. Further, we devised Neuro- Fuzzy hybrid Inference System, which takes structural metric values as input and calculates the reusability of the software component. Decision tree algorithm is used to decide initial set of fuzzy rules for the Neuro-fuzzy system. The results obtained are convincing enough to propose the system for economical identification and retrieval of reusable software components.Keywords: Clustering, ID3, LSA, Neuro-fuzzy System, SVD
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1076168
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[1] E. Smith, A. Al-Yasiri, and M. Merabti, "A Multi-Tiered Classification Scheme For Component Retrieval," Proc. Euromicro Conference, 1998, 24th Volume 2, 25-27 Aug. 1998, pp. 882 - 889.
[2] V.R. Basili, "Software Development: A Paradigm for the Future," Proc. COMPAC ÔÇÿ89, Los Alamitos, Calif.: IEEE CS Press, 1989, pp. 471- 485.
[3] B.W. Boehm and R. Ross, "Theory-W Software Project Management: Principles and Examples," IEEE Trans. Software Eng., vol.15, no. 7, 1989, pp. 902.
[4] W. Lim, "Effects of Reuse on Quality, Productivity, and Economics," IEEE Software, vol. 11, no. 5, Oct. 1994, pp. 23-30.
[5] H. Mili, F. Mili and A. Mili, "Reusing Software: Issues And Research Directions," IEEE Transactions on Software Engineering, Volume 21, Issue 6, June 1995, pp. 528 - 562.
[6] G. Caldiera and V. R. Basili, "Identifying and Qualifying Reusable Software Components", IEEE Computer, February 1991, pp. 61-70.
[7] W. Tracz, "A Conceptual Model for Megaprogramming," SIGSOFT Software Engineering Notes, Vol. 16, No. 3, July 1991, pp. 36-45.
[8] Stephen R. Schach and X. Yang, "Metrics for targeting candidates for reuse: an experimental approach," ACM, SAC 1995, pp. 379-383.
[9] J. S. Poulin, Measuring Software Reuse-Principles, Practices and Economic Models, Addison-Wesley, 1997.
[10] W. Humphrey, Managing the Software Process, SEI Series in Software Engineering, Addison-Wesley, 1989.
[11] L. Sommerville, Software Engineering, Addision-Wesley, 4th Edition, 1992.
[12] R. S. Pressman, Software Engineering: A Practitioner-s Approach, McGraw-Hill Publications, 5th edition, 2005.
[13] G. Boetticher and D. Eichmann, "A Neural Network Paradigm for Characterising Reusable Software," Proceedings of the 1st Australian Conference on Software Metrics, 18-19 November 1993.
[14] S. V. Kartalopoulos, Understanding Neural Networks and Fuzzy Logic- Basic Concepts and Applications, IEEE Press, 1996, pp. 153-160.
[15] T. Hofmann., "Probabilistic latent semantic indexing," In Proceedings of SIGIR'99, 1999.
[16] T. MaCabe, "A Software Complexity measure," IEEE Trans. Software Engineering, vol. SE-2, December 1976, pp. 308-320.
[17] Richard W. Selby, "Enabling Reuse-Based Software Development of Large-Scale Systems", IEEE IEEE Trans. Software Engineering, VOL. 31, NO. 6, June 2005, pp. 495-510.
[18] Maurice H. Halstead, Elements of Software Science, Elsevier North- Holland, New York, 1977.
[19] M. Berry, S.T. Dumais, and G.W. O'Brien, "Using Linear Algebra For Intelligent Information Retrieval," SIAM: Review, 37(4), 1995, pp. 573-595.
[20] S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer and R. Harshman, "Indexing By Latent Semantic Analysis," Journal of the American Society For Information Science, 41, 1990, pp. 391-407.
[21] S. T. Dumais, "LSI meets TREC: A status report," Text Retrieval Conference, 1992, pp. 137-152.
[22] J-S. R. Jang and C.T. Sun, "Neuro-fuzzy Modeling and Control," Proceeding of the IEEE, March 1995.