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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
Authors
Arun Sharma  Amity University, Noida, India
P. S. Grover  Guru Gobind Singh Indraprastha University, Delhi, India
Rajesh Kumar  Thapar University, Patiala, India
Publisher
ACM  New York, NY, USA
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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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5
 
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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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9
 
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15
 
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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

Collaborative Colleagues:
Arun Sharma: colleagues
P. S. Grover: colleagues
Rajesh Kumar: colleagues