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020 _a9783319498126
_9978-3-319-49812-6
024 7 _a10.1007/978-3-319-49812-6
_2doi
050 4 _aQA76.758
072 7 _aUMZ
_2bicssc
072 7 _aCOM051230
_2bisacsh
072 7 _aUMZ
_2thema
082 0 4 _a005.1
_223
245 1 0 _aDeductive Software Verification – The KeY Book
_h[electronic resource] :
_bFrom Theory to Practice /
_cedited by Wolfgang Ahrendt, Bernhard Beckert, Richard Bubel, Reiner Hähnle, Peter H. Schmitt, Mattias Ulbrich.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXXXII, 702 p. 110 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aProgramming and Software Engineering,
_x2945-9168 ;
_v10001
505 0 _aFoundations -- Specification and Verification -- From Verification to Analysis -- The KeY System in Action -- Case Studies.
520 _aStatic 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.
650 0 _aSoftware engineering.
650 0 _aComputer science.
650 0 _aMachine theory.
650 0 _aCompilers (Computer programs).
650 0 _aArtificial intelligence.
650 1 4 _aSoftware Engineering.
650 2 4 _aComputer Science Logic and Foundations of Programming.
650 2 4 _aFormal Languages and Automata Theory.
650 2 4 _aCompilers and Interpreters.
650 2 4 _aArtificial Intelligence.
700 1 _aAhrendt, Wolfgang.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBeckert, Bernhard.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBubel, Richard.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHähnle, Reiner.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSchmitt, Peter H.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aUlbrich, Mattias.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319498119
776 0 8 _iPrinted edition:
_z9783319498133
830 0 _aProgramming and Software Engineering,
_x2945-9168 ;
_v10001
856 4 0 _uhttps://doi.org/10.1007/978-3-319-49812-6
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
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