Skip to main content
SpringerLink
Log in

Computer Aided Verification

29th International Conference, CAV 2017, Heidelberg, Germany, July 24-28, 2017, Proceedings, Part I

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Rupak Majumdar

    1. Max Planck Institute for Software Systems, Kaiserslautern, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Viktor Kunčak

    1. School of Computer and Communication Sciences, EPFL - IC - LARA, Lausanne, Switzerland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10426)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: CAV 2017.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

The two-volume set LNCS 10426 and LNCS 10427 constitutes the refereed proceedings of the 29th International Conference on Computer Aided Verification, CAV 2017, held in Heidelberg, Germany, in July 2017.

The total of 50 full and 7 short papers presented  together with 5 keynotes and tutorials in the proceedings was carefully reviewed and selected from 191 submissions. 

The CAV conference series is dedicated to the advancement of the theory and practice of computer-aided formal analysis of hardware and software systems. The conference covers the spectrum from theoretical results to concrete applications, with an emphasis on practical verification tools and the algorithms and techniques that are needed for their implementation.

Similar content being viewed by others

Keywords

Table of contents (29 papers)

  1. Front Matter

    Pages I-XIX
    Download chapter PDF

  2. Invited Contributions

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Safety Verification of Deep Neural Networks

      • Xiaowei Huang, Marta Kwiatkowska, Sen Wang, Min Wu
      Pages 3-29

    3. Program Verification Under Weak Memory Consistency Using Separation Logic

      • Viktor Vafeiadis
      Pages 30-46

    4. The Power of Symbolic Automata and Transducers

      • Loris D’Antoni, Margus Veanes
      Pages 47-67

    5. Maximum Satisfiability in Software Analysis: Applications and Techniques

      • Xujie Si, Xin Zhang, Radu Grigore, Mayur Naik
      Pages 68-94

  3. Probabilistic Systems

    1. Front Matter

      Pages 95-95
      Download chapter PDF

    2. Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

      • Guy Katz, Clark Barrett, David L. Dill, Kyle Julian, Mykel J. Kochenderfer
      Pages 97-117

    3. Automated Recurrence Analysis for Almost-Linear Expected-Runtime Bounds

      • Krishnendu Chatterjee, Hongfei Fu, Aniket Murhekar
      Pages 118-139

    4. Markov Automata with Multiple Objectives

      • Tim Quatmann, Sebastian Junges, Joost-Pieter Katoen
      Pages 140-159

    5. Ensuring the Reliability of Your Model Checker: Interval Iteration for Markov Decision Processes

      • Christel Baier, Joachim Klein, Linda Leuschner, David Parker, Sascha Wunderlich
      Pages 160-180

    6. Repairing Decision-Making Programs Under Uncertainty

      • Aws Albarghouthi, Loris D’Antoni, Samuel Drews
      Pages 181-200

    7. Value Iteration for Long-Run Average Reward in Markov Decision Processes

      • Pranav Ashok, Krishnendu Chatterjee, Przemysław Daca, Jan Křetínský, Tobias Meggendorfer
      Pages 201-221

  4. Data Driven Techniques

    1. Front Matter

      Pages 223-223
      Download chapter PDF

    2. STLInspector: STL Validation with Guarantees

      • Hendrik Roehm, Thomas Heinz, Eva Charlotte Mayer
      Pages 225-232

    3. Learning a Static Analyzer from Data

      • Pavol Bielik, Veselin Raychev, Martin Vechev
      Pages 233-253

    4. Synthesis with Abstract Examples

      • Dana Drachsler-Cohen, Sharon Shoham, Eran Yahav
      Pages 254-278

    5. Data-Driven Synthesis of Full Probabilistic Programs

      • Sarah Chasins, Phitchaya Mangpo Phothilimthana
      Pages 279-304

    6. Logical Clustering and Learning for Time-Series Data

      • Marcell Vazquez-Chanlatte, Jyotirmoy V. Deshmukh, Xiaoqing Jin, Sanjit A. Seshia
      Pages 305-325

  5. Runtime Verification

    1. Front Matter

      Pages 327-327
      Download chapter PDF
Back to top

Other volumes

  1. Computer Aided Verification

  2. Computer Aided Verification

Editors and Affiliations

  • Max Planck Institute for Software Systems, Kaiserslautern, Germany

    Rupak Majumdar

  • School of Computer and Communication Sciences, EPFL - IC - LARA, Lausanne, Switzerland

    Viktor Kunčak

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation