Abstract
Formal methods in the form of automated proof-based deductive verification is increasingly used in industry to give confidence in the security and correctness of libraries and applications. This paper presents observations on current tools and processes based on recent experience with verification projects on industrial software: scalability, breadth, specification language expressibility and semantics, capabilities of underlying SMT tools, and integration into industrial build and continuous integration processes.
Cite
CITATION STYLE
Cok, D. R. (2018). Java automated deductive verification in practice: Lessons from industrial proof-based projects. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11247 LNCS, pp. 176–193). Springer Verlag. https://doi.org/10.1007/978-3-030-03427-6_16
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