Partial correctness for probabilistic demonic programs

Journal article

Recent work in sequential program semantics has produced both an operational (He et al., Sci. Comput. Programming 28(2, 3) (1997) 171–192) and an axiomatic (Morgan et al., ACM Trans. Programming Languages Systems 18(3) (1996) 325–353; Seidel et al., Tech Report PRG-TR-6-96, Programming Research group, February 1996) treatment of total correctness for probabilistic demonic programs, extending Kozen's original work (J. Comput. System Sci. 22 (1981) 328–350; Kozen, Proc. 15th ACM Symp. on Theory of Computing, ACM, New York, 1983) by adding demonic nondeterminism. For practical applications (e.g. combining loop invariants with termination constraints) it is important to retain the traditional distinction between partial and total correctness. Jones (Monograph ECS-LFCS-90-105, Ph.D. Thesis, Edinburgh University, Edinburgh, UK, 1990) defines probabilistic partial correctness for probabilistic, but again not demonic programs. In this paper we combine all the above, giving an operational and axiomatic framework for both partial and total correctness of probabilistic and demonic sequential programs; among other things, that provides the theory to support our earlier – and practical – publication on probabilistic demonic loops (Morgan, in: Jifeng et al. (Eds.), Proc. BCS-FACS Seventh Refinement Workshop, Workshops in Computing, Springer, Berlin, 1996).

Authors: McIver, A; Morgan, C

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Elsevier
• Journal: Theoretical Computer Science
• Volume: 266
• Issue: 1-2
• Pages: 513–541
• Publication date: 2001-09-01
• Edition: Publisher's version
• ISSN: 0304-3975
• Language: English
• Keywords: partial correctness; probability; verification; program logic
• Subjects: Theory and automated verification; Program development and tools