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Learning to adapt requirements specifications of evolving systems (NIER Track)

Borges, Rafael V.; Garcez, Artur D'Avila; Lamb, Luís C. and Nuseibeh, Bashar (2011). Learning to adapt requirements specifications of evolving systems (NIER Track). In: 33rd International Conference on Software Engineering (ICSE 2011), 21-28 May 2011, Honolulu, Hawaii, USA.

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We propose a novel framework for adapting and evolving software requirements models. The framework uses model checking and machine learning techniques for verifying properties and evolving model descriptions. The paper offers two novel contributions and a preliminary evaluation and application of the ideas presented. First, the framework is capable of coping with errors in the specification process so that performance degrades gracefully. Second, the framework can also be used to re-engineer a model from examples only, when an initial model is not available. We provide a preliminary evaluation of our framework by applying it to a Pump System case study, and integrate our prototype tool with the NuSMV model checker. We show how the tool integrates verification and evolution of abstract models, and also how it is capable of re-engineering partial models given examples from an existing system.

Item Type: Conference Item
Copyright Holders: 2011 ACM
Extra Information: Published in:
ICSE '11 Proceedings of the 33rd International Conference on Software Engineering, ACM New York, NY, USA ©2011, ISBN: 978-1-4503-0445-0
Keywords: machine learning in software engineering; adaptation
Academic Unit/Department: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Centre for Policing Research and Learning (CPRL)
Related URLs:
Item ID: 32321
Depositing User: Bashar Nuseibeh
Date Deposited: 02 Feb 2012 17:10
Last Modified: 06 Oct 2016 04:45
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