UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

The Value of Exact Analysis in Requirements Selection

Li, L; Harman, M; Wu, F; Zhang, Y; (2016) The Value of Exact Analysis in Requirements Selection. IEEE Transactions on Software Engineering , 43 (6) pp. 580-596. 10.1109/TSE.2016.2615100. Green open access

[thumbnail of Harman_07582553.pdf]
Preview
Text
Harman_07582553.pdf - Published Version

Download (1MB) | Preview

Abstract

Uncertainty is characterised by incomplete understanding. It is inevitable in the early phase of requirements engineering, and can lead to unsound requirement decisions. Inappropriate requirement choices may result in products that fail to satisfy stakeholders' needs, and might cause loss of revenue. To overcome uncertainty, requirements engineering decision support needs uncertainty management. In this research, we develop a decision support framework METRO for the Next Release Problem (NRP) to manage algorithmic uncertainty and requirements uncertainty. An exact NRP solver (NSGDP) lies at the heart of METRO. NSGDP's exactness eliminates interference caused by approximate existing NRP solvers. We apply NSGDP to three NRP instances, derived from a real world NRP instance, RALIC, and compare with NSGA-II, a widely-used approximate (inexact) technique. We find the randomness of NSGA-II results in decision makers missing up to 99.95% of the optimal solutions and obtaining up to 36:48% inexact requirement selection decisions. The chance of getting an inexact decision using existing approximate approaches is negatively correlated with the implementation cost of a requirement (Spearman ρ up to -0.72). Compared to the inexact existing approach, NSGDP saves 15.21% lost revenue, on average, for the RALIC dataset.

Type: Article
Title: The Value of Exact Analysis in Requirements Selection
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TSE.2016.2615100
Publisher version: http://dx.doi.org/10.1109/TSE.2016.2615100
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1554255
Downloads since deposit
163Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item