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Computer Science > Logic in Computer Science

arXiv:1106.4090v1 (cs)
[Submitted on 21 Jun 2011]

Title:Discovery of Invariants through Automated Theory Formation

Authors:Maria Teresa Llano (Heriot-Watt University), Andrew Ireland (Heriot-Watt University), Alison Pease (University of Edinburgh)
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Abstract:Refinement is a powerful mechanism for mastering the complexities that arise when formally modelling systems. Refinement also brings with it additional proof obligations -- requiring a developer to discover properties relating to their design decisions. With the goal of reducing this burden, we have investigated how a general purpose theory formation tool, HR, can be used to automate the discovery of such properties within the context of Event-B. Here we develop a heuristic approach to the automatic discovery of invariants and report upon a series of experiments that we undertook in order to evaluate our approach. The set of heuristics developed provides systematic guidance in tailoring HR for a given Event-B development. These heuristics are based upon proof-failure analysis, and have given rise to some promising results.
Comments: In Proceedings Refine 2011, arXiv:1106.3488
Subjects: Logic in Computer Science (cs.LO); Artificial Intelligence (cs.AI); Software Engineering (cs.SE)
Cite as: arXiv:1106.4090 [cs.LO]
  (or arXiv:1106.4090v1 [cs.LO] for this version)
  https://doi.org/10.48550/arXiv.1106.4090
Journal reference: EPTCS 55, 2011, pp. 1-19
Related DOI: https://doi.org/10.4204/EPTCS.55.1

Submission history

From: EPTCS [view email] [via EPTCS proxy]
[v1] Tue, 21 Jun 2011 05:24:01 UTC (136 KB)
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