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Requirement Paradigms to Implement the Software Projects in Agile Development Using Analytical Hierarchy Process

Requirement Paradigms to Implement the Software Projects in Agile Development Using Analytical Hierarchy Process

Saru Dhir, Deepak Kumar, V.B. Singh
Copyright: © 2017 |Volume: 9 |Issue: 3 |Pages: 14
ISSN: 1941-6296|EISSN: 1941-630X|EISBN13: 9781522512578|DOI: 10.4018/IJDSST.2017070102
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MLA

Dhir, Saru, et al. "Requirement Paradigms to Implement the Software Projects in Agile Development Using Analytical Hierarchy Process." IJDSST vol.9, no.3 2017: pp.28-41. http://doi.org/10.4018/IJDSST.2017070102

APA

Dhir, S., Kumar, D., & Singh, V. (2017). Requirement Paradigms to Implement the Software Projects in Agile Development Using Analytical Hierarchy Process. International Journal of Decision Support System Technology (IJDSST), 9(3), 28-41. http://doi.org/10.4018/IJDSST.2017070102

Chicago

Dhir, Saru, Deepak Kumar, and V.B. Singh. "Requirement Paradigms to Implement the Software Projects in Agile Development Using Analytical Hierarchy Process," International Journal of Decision Support System Technology (IJDSST) 9, no.3: 28-41. http://doi.org/10.4018/IJDSST.2017070102

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Abstract

The primary focus of a successful organization is to deliver the high quality product to fulfil the client's needs. In the software industry, quality requirements play a major role for the projects to be successful. Quality requirements are influenced by the users, clients and stakeholders analysis to reduce the burden of requirement engineering process. So it is essential to select only the appropriate requirements that could be associated with the final product. This empirical research presents a framework by using Analytical Hierarchy Process to calculate the critical attributes that are influencing from the requirement selection to requirement prioritization in an uncertain environment. The experiment was accomplished by calculating the relative importance of those attributes, through the survey carried out with the help of agile experts. The utility measure is obtained from these attributes demonstrating the improvement in the performance. Consistency ratio is also evaluated for the comparison matrix.

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