TY - BOOK AU - Ahrendt,Wolfgang AU - Beckert,Bernhard AU - Bubel,Richard AU - Hähnle,Reiner AU - Schmitt,P.H. AU - Ulbrich,Mattias TI - Deductive Software Verification -- The KeY Book: From Theory to Practice T2 - Lecture Notes in Computer Science, SN - 9783319498126 AV - QA76.76.V47 U1 - 005.1 23 PY - 2016/// CY - Cham PB - Springer KW - Computer software KW - Verification KW - Computer science KW - Software engineering KW - Programming languages (Electronic computers) KW - Computer logic KW - Logic, Symbolic and mathematical KW - Artificial intelligence KW - Computer programs KW - Electronic data processing KW - Logiciels KW - Vérification KW - Informatique KW - Génie logiciel KW - Logique informatique KW - Logique symbolique et mathématique KW - Intelligence artificielle KW - computer science KW - aat KW - data processing KW - artificial intelligence KW - fast N1 - Foundations -- Specification and Verification -- From Verification to Analysis -- The KeY System in Action -- Case Studies N2 - Static analysis of software with deductive methods is a highly dynamic field of research on the verge of becoming a mainstream technology in software engineering. It consists of a large portfolio of - mostly fully automated - analyses: formal verification, test generation, security analysis, visualization, and debugging. All of them are realized in the state-of-art deductive verification framework KeY. This book is the definitive guide to KeY that lets you explore the full potential of deductive software verification in practice. It contains the complete theory behind KeY for active researchers who want to understand it in depth or use it in their own work. But the book also features fully self-contained chapters on the Java Modeling Language and on Using KeY that require nothing else than familiarity with Java. All other chapters are accessible for graduate students (M. Sc. level and beyond). The KeY framework is free and open software, downloadable from the book companion website which contains also all code examples mentioned in this book UR - https://link.springer.com/10.1007/978-3-319-49812-6 ER -