Universiti Teknologi Malaysia Institutional Repository

Improving estimation accuracy prediction of software development effort: a proposed ensemble model

Mahmood, Y. and Kama, N. and Azmi, A. and Ali, M. (2020) Improving estimation accuracy prediction of software development effort: a proposed ensemble model. In: 2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020, 12-13 June 2020, Istanbul, Turkey.


Official URL: http://dx.doi.org/10.1109/ICECCE49384.2020.9179279


Software effort estimation is an essential feature of software engineering for effective planning, controlling and delivering successful software projects. The overestimation and underestimation both are the key challenges for future software development. The failure to acknowledge the effort estimation accuracy may lead to customer disappointment, inaccurate estimation and hence, contribute to either poor software development process or project failure. The main aim of this research is to optimize the estimation accuracy prediction of software development effort to support software development firms and practitioners. In this paper, we propose an ensemble software effort estimation model based on Use Case Points (UCP), expert judgment and Case-Based Reasoning (CBR) techniques. This research is conducted through primary (a multi-case involving software companies) study to make an ensemble model. The estimation accuracy prediction of the proposed model will be evaluated by selecting projects from primary studies as case selections in applying a quantitative approach through industrial experts, archival data about estimates and evaluation metrics. The proposed model produced at the end of this research will be used by software development firms and practitioners as an instrument to estimate the effort required to develop new software projects at an earlier stage.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:effort estimation accuracy, ensemble effort estimation, ensemble model
Subjects:T Technology > T Technology (General) > T58.5-58.64 Information technology
Divisions:Razak School of Engineering and Advanced Technology
ID Code:92900
Deposited By: Narimah Nawil
Deposited On:07 Nov 2021 13:54
Last Modified:07 Nov 2021 13:54

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