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RADAR: A Lightweight Tool for Requirements and Architecture Decision Analysis

Busari, SA; Letier, E; (2017) RADAR: A Lightweight Tool for Requirements and Architecture Decision Analysis. In: Uchitel, S and Orso, A and Robillard, M, (eds.) ICSE '17: Proceedings of the 39th International Conference on Software Engineering. (pp. pp. 552-562). Association for Computing Machinery (ACM): New York, NY, USA. Green open access

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Abstract

Uncertainty and conflicting stakeholders' objectives make many requirements and architecture decisions particularly hard. Quantitative probabilistic models allow software architects to analyse such decisions using stochastic simulation and multi-objective optimisation, but the difficulty of elaborating the models is an obstacle to the wider adoption of such techniques. To reduce this obstacle, this paper presents a novel modelling language and analysis tool, called RADAR, intended to facilitate requirements and architecture decision analysis. The language has relations to quantitative AND/OR goal models used in requirements engineering and to feature models used in software product lines. However, it simplifies such models to a minimum set of language constructs essential for decision analysis. The paper presents RADAR's modelling language, automated support for decision analysis, and evaluates its application to four real-world examples.

Type: Proceedings paper
Title: RADAR: A Lightweight Tool for Requirements and Architecture Decision Analysis
Event: 39th International Conference on Software Engineering (ICSE '17)
Location: Buenos Aires, Argentina
Dates: 20 May 2017 - 28 May 2017
ISBN-13: 9781538638682
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ICSE.2017.57
Publisher version: https://doi.org/10.1109/ICSE.2017.57
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Decision Analysis, Requirements Engineering, Software Architecture, Goal Modelling, Monte-Carlo Simulation, Multi-Objective Optimisation, Search-Based Software Engineering, Expected Value of Information
UCL classification: UCL > Provost and Vice Provost Offices
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: http://discovery.ucl.ac.uk/id/eprint/1542214
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