Logic Based Program Synthesis and Transformation: 15th by François Fages (auth.), Patricia M. Hill (eds.)

By François Fages (auth.), Patricia M. Hill (eds.)

This ebook constitutes the completely refereed post-proceedings of the fifteenth overseas Symposium on common sense dependent software Synthesis and Transformation, LOPSTR 2005, held in London, united kingdom in September 2005 along side SAS 2005, the Symposium on Static Analysis.

The 10 revised complete papers awarded including one invited speak have been rigorously chosen and revised from 33 submissions. The papers are prepared in topical sections on instruments for application improvement, application alterations, and software program improvement and software analysis.

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Extra info for Logic Based Program Synthesis and Transformation: 15th International Symposium, LOPSTR 2005, London, UK, September 7-9, 2005, Revised Selected Papers

Example text

We have made these atomicity assumptions (which correspond to the labels of the transitions of the diagram of Figure 2) for keeping the presentation of our proof of the mutual exclusion property as simple as possible. However, this property has also been proved by using our method which we will present in Section 4, under weaker assumptions, in which one only assumes that every single assignment and test is atomic [26]. (In particular, in [26] it is assumed that each test k = i and ‘Q[k] < J[i]’ in the formula ϕ, and not the entire formula ϕ, is atomic.

Pettorossi, and M. Proietti. Automated strategies for specializing constraint logic programs. -K. Lau, editor, Proceedings of LOPSTR 2000, London, UK, 24-28 July, 2000, LLNCS 2042, pages 125–146. Springer, 2001. Transformational Verification of Parameterized Protocols 41 9. F. Fioravanti, A. Pettorossi, and M. Proietti. Verifying CTL properties of infinite state systems by specializing constraint logic programs. In Proceedings of VCL ’01, Florence, Italy, DSSE-TR-2001-3, pages 85–96. Univ. of Southampton, UK, 2001.

An example of such a language is the language A designed by Gelfond and Lifschitz. The language A has been used to elegantly specify and reason about a number of classical problems such as the Yale shooting problem [4], and it has also been applied to a number of practical situations [15]. Action description languages describe the effect of actions on the truth value of logical propositions. Given a system description in A, one can reason to find out the state(s) that results from a sequence of actions, or given a resultant state, deduce the sequence of actions that will lead us there.

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