International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 175 - Issue 14 |
Published: Aug 2020 |
Authors: Nejood Hashim Al-Walidi, Abdelaziz Khamis, Nagy Ramadan |
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Nejood Hashim Al-Walidi, Abdelaziz Khamis, Nagy Ramadan . A Systematic Literature Review of Recommender Systems for Requirements Engineering. International Journal of Computer Applications. 175, 14 (Aug 2020), 31-41. DOI=10.5120/ijca2020920630
@article{ 10.5120/ijca2020920630, author = { Nejood Hashim Al-Walidi,Abdelaziz Khamis,Nagy Ramadan }, title = { A Systematic Literature Review of Recommender Systems for Requirements Engineering }, journal = { International Journal of Computer Applications }, year = { 2020 }, volume = { 175 }, number = { 14 }, pages = { 31-41 }, doi = { 10.5120/ijca2020920630 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2020 %A Nejood Hashim Al-Walidi %A Abdelaziz Khamis %A Nagy Ramadan %T A Systematic Literature Review of Recommender Systems for Requirements Engineering%T %J International Journal of Computer Applications %V 175 %N 14 %P 31-41 %R 10.5120/ijca2020920630 %I Foundation of Computer Science (FCS), NY, USA
Requirements Engineering (RE) is the first phase of a software project development. This phase aims to help project stakeholders discover, analyze, and specify the needs for a software project. In complex projects, requirement engineers deal with substantial requirements specifications and a large number of stakeholders. Studies have shown that poorly implemented RE processes are one of the primary causes of project failures including cost/schedule overruns, and failure to deliver promised functions. On the other hand, Recommender Systems (RSs) are software tools that support users in the recognition of appropriate items in a context where the amount of an assortment exceeds their capability to reach a decision. Therefore, RSs are needed to support several processes in requirements engineering. In this paper, the utilization of RSs in RE is examined by the use of a Systematic Literature Review (SLR) through the years 2010 - 2019. The results show how recommender systems can support several processes in requirements engineering. Finally, the utilization of recommender systems in requirements traceability is suggested as future work.