2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE) (2017)
Urbana, IL, USA
Oct. 30, 2017 to Nov. 3, 2017
Saheed A. Busari , Software Systems Engineering, Department of Computer Science, University College London, United Kingdom
Many requirements engineering and software architecture decisions are complicated by uncertainty and multiple conflicting stakeholders objectives. Using quantitative decision models helps clarify these decisions and allows the use of multi-objective simulation optimisation techniques in analysing the impact of decisions on objectives. Existing requirements and architecture decision support methods that use quantitative decision models are limited by the difficulty in elaborating problem-specific decision models and/or lack integrated tool support for automated decision analysis under uncertainty. To address these problems and facilitate requirements and architecture decision analysis, this research proposes a novel modelling language and automated decision analysis technique, implemented in a tool called RADAR. The modelling language is a simplified version of quantitative AND/OR goal models used in requirements engineering and similar to feature models used in software product lines. This research involves developing the RADAR tool and evaluating the tool's applicability, usefulness and scalability on a set of real-world examples.
Analytical models, Radar, Tools, Decision analysis, Stakeholders, Uncertainty
S. A. Busari, "Towards search-based modelling and analysis of requirements and architecture decisions," 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), Urbana, IL, USA, 2017, pp. 1026-1029.