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Abstract and Applied Analysis
Volume 2014, Article ID 535970, 12 pages
Research Article

Software Component Selection Based on Quality Criteria Using the Analytic Network Process

1Department of Computer Science, University of Peshawar, Peshawar 25120, Pakistan
2Centre of Excellence in IT, Institute of Management Sciences, Hayatabad, Peshawar, Pakistan
3Department of Computer Science, Abdul Wali Khan University Mardan, Pakistan
4Department of Mathematics, University of Peshawar, Peshawar 25120, Pakistan
5TEI of Thessaloniki, Sindos, 57400 Thessaloniki, Greece
6Brunel University, Uxbridge UB8 3PH, UK

Received 24 July 2014; Accepted 13 August 2014; Published 15 December 2014

Academic Editor: Saeed Islam

Copyright © 2014 Shah Nazir et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Component based software development (CBSD) endeavors to deliver cost-effective and quality software systems through the selection and integration of commercially available software components. CBSD emphasizes the design and development of software systems using preexisting components. Software component reusability is an indispensable part of component based software development life cycle (CBSDLC), which consumes a significant amount of organization’s resources, that is, time and effort. It is convenient in component based software system (CBSS) to select the most suitable and appropriate software components that provide all the required functionalities. Selecting the most appropriate components is crucial for the success of the entire system. However, decisions regarding software component reusability are often made in an ad hoc manner, which ultimately results in schedule delay and lowers the entire quality system. In this paper, we have discussed the analytic network process (ANP) method for software component selection. The methodology is explained and assessed using a real life case study.