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Recommender Systems for Software Requirements Engineering: Current Research & Challenges

Published in IEEE SoutheastCon, 2019

Recommender systems have been used to improve software requirements engineering activities. This paper reviews literature on recommender systems for requirements engineering research since 2012. It discusses the common techniques used in recommender systems, the issues addressed by the recommender systems found in the literature, and challenges that still need to be addressed. Approaches to address some of the challenges are proposed.

Recommended citation: I. Williams and X. Yuan, "Recommender Systems for Software Requirements Engineering: Current Research & Challenges," 2019 SoutheastCon, Huntsville, AL, USA, 2019, pp. 1-6 https://ieeexplore.ieee.org/abstract/document/9020667

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Supervised Instructor

Internet Systems, North Carolina A&T State University, Computer Science, 2017

This course addresses the structure and functionality of the Internet and software that exploits it. Topics include mark up languages, Web tools, static, dynamic and active web pages, multimedia in Web applications, communication protocols, client-server, computing, scripting, group and coordinating work at different sites, multi-agent systems that exploit the Internet, and architectures to exploit the distributed computational power offered by the Internet.