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A systematic review of studies on use case points and expert-based estimation of software development effort

Mahmood, Y. and Kama, N. and Azmi, A. (2020) A systematic review of studies on use case points and expert-based estimation of software development effort. Journal of Software: Evolution and Process, 32 (7). ISSN 2047-7481

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Official URL: https://dx.doi.org/10.1002/smr.2245


In recent years, due to significant evolution in adopting new technologies and development methodologies in the field of software engineering, the developers and researchers are striving to optimize the accuracy of software effort estimation (SEE). The overestimation and underestimation both are the key challenges for software progress; hence, there is a continuous need for an accurate SEE. This paper highlights a systematic review of studies associated with the best practices of use case point (UCP) and expert judgment–based software development effort estimation techniques. The primary aim and contribution of this paper are to support the researchers through an extensive review to ease to other researcher's search for effort estimation studies. We have performed state-of-the-art review from five viewpoints of reference: (a) review of studies concerning UCPs and expert judgment–based effort estimation, (b) research contribution and future recommendation in different novelties, (c) usage of the dataset, (d) availability of accuracy metrics, and (e) findings of the studies. We have performed a systematic review of studies which are published in the period of 2000 to 2019. We have selected a total of 34 primary studies of UCP and expert judgment–based estimation techniques to report the research questions stated in this review.

Item Type:Article
Uncontrolled Keywords:software development, systematic literature review, use case points
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:86439
Deposited By: Narimah Nawil
Deposited On:08 Sep 2020 21:18
Last Modified:09 Sep 2020 15:14

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