2005/08/24 by Germán Puebla, German Puebla, Puebla, German +5
Computer Science · #D.2.6 #FOS: Computer and information sciences #Formal Methods in Verification #Logic, programming, and type systems #Programming Languages (cs.PL) #Software Engineering (cs.SE) #Software Testing and Debugging Techniques #cs.PL #cs.SE
paper · pdf · doi:10.48550/arxiv.cs/0508111
In A. Serebrenik and S. Munoz-Hernandez (editors), Proceedings of the 15th Workshop on Logic-based methods in Programming Environments October 2005, Sitges. cs.PL/0508078
arxiv created 2005/08/24 · openalex publication_date 2005/08/24 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The relationship between abstract interpretation and partial deduction has received considerable attention and (partial) integrations have been proposed starting from both the partial deduction and abstract interpretation perspectives. In this work we present what we argue is the first fully described generic algorithm for efficient and precise integration of abstract interpretation and partial deduction. Taking as starting point state-of-the-art algorithms for context-sensitive, polyvariant abstract interpretation and (abstract) partial deduction, we present an algorithm which combines the best of both worlds. Key ingredients include the accurate success propagation inherent to abstract interpretation and the powerful program transformations achievable by partial deduction. In our algorithm, the calls which appear in the analysis graph are not analyzed w.r.t. the original definition of the procedure but w.r.t. specialized definitions of these procedures. Such specialized definitions are obtained by applying both unfolding and abstract executability. Our framework is parametric w.r.t. different control strategies and abstract domains. Different combinations of such parameters correspond to existing algorithms for program analysis and specialization. Simultaneously, our approach opens the door to the efficient computation of strictly more precise results than those achievable by each of the individual techniques. The algorithm is now one of the key components of the CiaoPP analysis and specialization system.