Verified Software: Theories, Tools, Experiments [electronic resource] : Second International Conference, VSTTE 2008, Toronto, Canada, October 6-9, 2008, Proceedings /

Keynote Talks (Abstracts) -- Readable Formal Proofs -- From Verification to Synthesis -- Verification, Least-Fixpoint Checking, Abstraction -- Combining Tests and Proofs -- Logics -- Propositional Dynamic Logic for Recursive Procedures -- Mapped Separation Logic -- Unguessable Atoms: A Logical Foundation for Security -- Combining Domain-Specific and Foundational Logics to Verify Complete Software Systems -- Tools -- JML4: Towards an Industrial Grade IVE for Java and Next Generation Research Platform for JML -- Incremental Benchmarks for Software Verification Tools and Techniques -- Case Studies -- Verified Protection Model of the seL4 Microkernel -- Verification of the Deutsch-Schorr-Waite Marking Algorithm with Modal Logic -- Bounded Verification of Voting Software -- Methodology -- Expression Decomposition in a Rely/Guarantee Context -- A Verification Approach for System-Level Concurrent Programs -- Boogie Meets Regions: A Verification Experience Report -- Flexible Immutability with Frozen Objects -- Verisoft -- The Verisoft Approach to Systems Verification -- Formal Functional Verification of Device Drivers -- Verified Process-Context Switch for C-Programmed Kernels -- Paper from VSTTE 2005 -- Where Is the Value in a Program Verifier?.

This volume contains the proceedings of the second working conference on Verified Software: Theories, Tools, and Experiments, VSTTE 2008, held in Toronto, Canada, in October 2008. The 16 papers presented together with 4 invited talks were carefully revised and selected for inclusion in the book. This second conference formally inaugurates the Verified Software Initiative (VSI), a fifteen-year, co-operative, international project directed at the scientific challenges of large-scale software verification. The scope of the cooperative effort includes the sharing and interoperability of tools, the alignment of theory and practice, the identification of challenge problems, the construction of benchmark suites, and the execution of large-scale experiments.