doi: 10.7763/IJCTE.2022.V14.1319
Using Social Network and Fuzzy Set Theory for Elicitation and Prioritization of Software Requirements
Tanveer Hassan1
,
Chaudhary Wali Mohammad1 ,
Mohd. Sadiq2,*
- 1Department of Applied Sciences and Humanities, Faculty of Engineering and Technology, Jamia Millia Islamia, New Delhi, India
- 2Software Engineering Laboratory, Computer Engineering Section, University Polytechnic, Faculty of Engineering and Technology, Jamia Millia Islamia, New Delhi, India
Abstract
Stakeholders’ identification is one of the key activities of the software requirements elicitation process. In real-life applications, various stakeholders participate during the software development process and the information about these stakeholders is stored using social networks which can be used to identify the key stakeholders. Based on our review, we found that requirements elicitation and prioritization methods do not support the following: a) social network-based approach for the analysis of the large set of stakeholders before the starting of the requirements elicitation process; b) dealing with imprecision and vagueness during the recommendation of stakeholders by other stakeholders so that large set of software requirements can be elicited and selected based on the ranking values. Therefore, to address these issues, this paper presents a method for software requirements elicitation and prioritization in which social network has been used to identify and analyze the key stakeholders and a fuzzy based method is applied for prioritizing the large set of software requirements. Finally, the applicability of the proposed method is discussed with the help of the software requirements of an institute examination system.
Keywords
- Fuzzy logic
- software requirements
- social- networks
- stakeholders
How to Cite
Tanveer Hassan, Chaudhary Wali Mohammad, and Mohd. Sadiq, "Using Social Network and Fuzzy Set Theory for Elicitation and Prioritization of Software Requirements," International Journal of Computer Theory and Engineering, vol. 14, no. 3, pp. 126-134, 2022. https://doi.org/10.7763/IJCTE.2022.V14.1319
Copyright & License
Copyright © 2022 by the authors. 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 (CC BY 4.0).