Proof Transformation via Interpretation Functions: Results, Problems and Applications
Author(s) -
Piotr Kosiuczenko
Publication year - 2005
Publication title -
electronic notes in theoretical computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 60
ISSN - 1571-0661
DOI - 10.1016/j.entcs.2004.08.040
Subject(s) - mathematical proof , modus ponens , computer science , interpretation (philosophy) , transformation (genetics) , state (computer science) , propositional calculus , intuitionistic logic , theoretical computer science , mathematics , algebra over a field , programming language , calculus (dental) , pure mathematics , artificial intelligence , inference , biochemistry , chemistry , geometry , gene , medicine , dentistry
Change is a constant factor in Software Engineering process. Redesign of a class structure requires transformation of the corresponding OCL constraints. In a previous paper we have shown how to use, what we call, interpretation functions for transformation of constraints. In this paper we discuss recently obtained results concerning proof transformations via such functions. In particular we detail the fact that they preserve proofs in equational logic, as well as proofs in other logical systems like propositional logic with modus ponens or proofs using resolution rule. Those results have direct applications to redesign of UML State Machines and Sequence Diagrams. If states in a State Machine are interpreted by State Invariants, then the topological relations between its states can be interpreted as logical relations between the corresponding formulas. Preservation of the consequence relation can bee seen as preservation of the topology of State Machines. We indicate also an unsolved problem and discuss the mining of its positive solution
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