The KeY platform for verification and analysis of java programs
Paper in proceedings, 2014

The KeY system offers a platform of software analysis tools for sequential Java. Foremost, this includes full functional verification against contracts written in the Java Modeling Language. But the approach is general enough to provide a basis for other methods and purposes: (i) complementary validation techniques to formal verification such as testing and debugging, (ii) methods that reduce the complexity of verification such as modularization and abstract interpretation, (iii) analyses of non-functional properties such as information flowsecurity, and (iv) sound program transformation and code generation. We show that deductive technology that has been developed for full functional verification can be used as a basis and framework for other purposes than pure functional verification. We use the current release of the KeY system as an example to explain and prove this claim.

Verification and analysis

Java program

Author

Wolfgang Ahrendt

Chalmers, Computer Science and Engineering (Chalmers), Software Technology (Chalmers)

B. Beckert

Karlsruhe Institute of Technology (KIT)

D. Bruns

Karlsruhe Institute of Technology (KIT)

Richard Bubel

Technische Universität Darmstadt

Christoph Gladisch

Karlsruhe Institute of Technology (KIT)

Sarah Grebing

Karlsruhe Institute of Technology (KIT)

Reiner Hähnle

Technische Universität Darmstadt

Martin Hentschel

Technische Universität Darmstadt

Mihai Herda

Karlsruhe Institute of Technology (KIT)

V. Klebanov

Karlsruhe Institute of Technology (KIT)

Wojciech Mostowski

University of Twente

C. Scheben

Karlsruhe Institute of Technology (KIT)

P.H. Schmitt

Karlsruhe Institute of Technology (KIT)

M. Ulbrich

Karlsruhe Institute of Technology (KIT)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

8471 55-71

Areas of Advance

Information and Communication Technology

Subject Categories

Computer Science

DOI

10.1007/978-3-319-12154-3_4

ISBN

9783319121536

More information

Latest update

6/8/2018 5