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A Novel Integrated AHP-QFD Model for Software Project Selection under Fuzziness

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 54 - Number 7
Year of Publication: 2012
Authors:
Tuli Bakshi
Bijan Sarkar
Subir Kumar Sanyal
10.5120/8581-2327

Tuli Bakshi, Bijan Sarkar and Subir Kumar Sanyal. Article: A Novel Integrated AHP-QFD Model for Software Project Selection under Fuzziness. International Journal of Computer Applications 54(7):36-43, September 2012. Full text available. BibTeX

@article{key:article,
	author = {Tuli Bakshi and Bijan Sarkar and Subir Kumar Sanyal},
	title = {Article: A Novel Integrated AHP-QFD Model for Software Project Selection under Fuzziness},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {54},
	number = {7},
	pages = {36-43},
	month = {September},
	note = {Full text available}
}

Abstract

Now-a-days software manufacturing companies usually try to capture market share with rapid software development. Actually the development of high quality software products can decrease cost by reducing rework and increasing productivity. For that, reason selection of software projects is an important task. Several factors come into consideration while selection of proper project for a specified job. To deal with this typical situation the current researchers combined the much known AHP(Analytic Hierarchy Process) with QFD (Quality Function Deployment). Here the AHP method redefined under fuzziness. Then QFD process is applied to identifying and ranking customer's need and translating them into product / service specification. At the last sensitivity analysis has been done to make the process more robust from the characterization of integration of the fuzzy AHP & QFD.

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