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Rigorous evidence of freedom from concurrency faults in industrial control software

  • CEA/UVSQ/CNRS
  • Lamsid/EDF/R and D

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the power generation industry, digital control systems may play an important role in plant safety. Thus, these systems are the object of rigorous analyzes and safety assessments. In particular, the quality, correctness and dependability of control systems software need to be justified. This paper reports on the development of a tool-based methodology to address the demonstration of freedom from intrinsic software faults related to concurrency and synchronization, and its practical application to an industrial control software case study. We describe the underlying theoretical foundations, the main mechanisms involved in the tools and the main results and lessons learned from this work. An important conclusion of the paper is that the used verification techniques and tools scale efficiently and accurately to industrial control system software, which is a major requirement for real-life safety assessments.

Original languageEnglish
Title of host publicationComputer Safety, Reliability, and Security - 30th International Conference, SAFECOMP 2011, Proceedings
Pages85-98
Number of pages14
DOIs
Publication statusPublished - 26 Sept 2011
Externally publishedYes
Event30th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2011 - Naples, Italy
Duration: 19 Sept 201122 Sept 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6894 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference30th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2011
Country/TerritoryItaly
CityNaples
Period19/09/1122/09/11

Keywords

  • Digital control systems
  • concurrency
  • deadlock
  • formal verification
  • software dependability

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