Conference Paper

jStar-eclipse: an IDE for automated verification of Java programs.

DOI: 10.1145/2025113.2025182 Conference: SIGSOFT/FSE'11 19th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-19) and ESEC'11: 13rd European Software Engineering Conference (ESEC-13), Szeged, Hungary, September 5-9, 2011
Source: DBLP


jStar is a tool for automatically verifying Java programs. It uses separation logic to support abstract reasoning about object specifications. jStar can verify a number of challenging design patterns, including Subject/Observer, Visitor, Factory and Pooling. However, to use jStar one has to deal with a family of command-line tools that expect specifications in separate files and diagnose the errors by inspecting the text output from these tools. In this paper we present a plug-in, called jStar-eclipse, allowing programmers to use jStar from within Eclipse IDE. Our plug-in allows writing method contracts in Java source files in form of Java annotations. It automatically translates Java annotations into jStar specifications and propagates errors reported by jStar back to Eclipse, pinpointing the errors to the locations in source files. This way the plug-in ensures an overall better user experience when working with jStar. Our end goal is to make automated verification based on separation logic accessible to a broader audience.

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Available from: Dino Distefano, Jan 17, 2014
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    ABSTRACT: Previous applications of symbolic execution (Sym-Exe) have focused on bug-finding and test-case generation. However, SymExe has the potential to significantly improve usability and automation when applied to verification of software contracts in safety-critical systems. Due to the lack of support for processing software contracts and ad hoc approaches for introducing a variety of over/under-approximations and optimizations, most SymExe implementations cannot precisely characterize the verification status of contracts. Moreover, these tools do not provide explicit justifications for their conclusions, and thus they are not aligned with trends toward evidence-based verification and certification. We introduce the concept of explicating symbolic execution (xSymExe) that builds on a strong semantic foundation, supports full verification of rich software contracts, explicitly tracks where over/under-approximations are introduced or avoided, precisely characterizes the verification status of each contractual claim, and associates each claim with explications for its reported verification status. We report on case studies in the use of Bakar Kiasan, our open source xSymExe tool for Spark Ada.
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