| Reusability assessment for software components |
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ACM SIGSOFT Software Engineering Notes
archive
Volume 34 , Issue 2 (March 2009)
table of contents
SECTION: Article abstracts with full text online
table of contents
Pages 1-6
Year of Publication: 2009
ISSN:0163-5948
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Downloads (6 Weeks): 15, Downloads (12 Months): 164, Citation Count: 0
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ABSTRACT
Software reuse has been used as a tool to reduce the development cost and time of the software. Nowadays, in fact, majority of software systems are being developed from an assembly of existing reusable components. In order to assess the reuse of components effectively, it is necessary to measure the reusability of these components. Paper proposes Artificial Neural Network based approach to assess the reusability of software component. This work will help developers to select the best component in terms of its reusability, which will improve the maintainability of the overall system.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Banker, R. D., Kauffman, R. J., Wright, C. R. and Zweig, D., 1991. Automating Output Size and Reusability Metrics in an Object-Based Computer Aided Software Engineering (Case) Environment, Information Systems Working Papers Series, available at: http://www.ssrn.com/abstract=1289052.
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Karunanithi, S., Bieman, J. M., 1993. Candidate Reuse Metrics for Object Oriented and Ada Software, Proceedings of IEEE International Software Metrics Symposium, available at http://www.cs.colostate.edu/~bieman/Pubs/santhiBiemanMetrics93.pdf
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Prem Devanbu , Sakke Karstu , Walcélio Melo , William Thomas, Analytical and empirical evaluation of software reuse metrics, Proceedings of the 18th international conference on Software engineering, p.189-199, March 25-29, 1996, Berlin, Germany
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Kamiya, T., Kusumoto S., Inoue K., Mohri Y., 1999. Empirical Evaluation of Reuse Sensitiveness of Complexity Metrics, Information and Software Technology, Vol. 41, pp. 297--305.
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Mayrhauser A., Anderson C. and Mraz R. (1995), Using a Neural Network to Predict Test Case Effectiveness, Proceedings of IEEE Aerospace Applications Conference, Snowmass, CO, pp:77--91.
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Mukherjee, A. and Deshpande, J. M., 1995. Neural Network Based Expert Systems for Structural Design, Computers and Structures, Vol. 54, Iss. 3, pp 367--375.
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www.jars.com
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www.elegantjbeans.com
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