Discovering concurrency errors

João M. Lourenço, Jan Fiedor, Bohuslav Křena, Tomáš Vojnar

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Citations (Scopus)


Lots of concurrent software is being developed for the now ubiquitous multicore processors. And concurrent programming is difficult because it is quite easy to introduce errors that are really hard to diagnose and fix. One of the main obstacles to concurrent programming is that threads are scheduled nondeterministically and their interactions may become hard to predict and to devise. This chapter addresses the nature of concurrent programming and some classes of concurrency errors. It discusses the application of dynamic program analysis techniques to detect, locate and diagnose some common concurrency errors like data races, atomicity violations and deadlocks. This chapter also mentions some techniques that can help with quality assurance of concurrent programs, regardless of any particular class of concurrency errors, like noise injection and systematic testing, and it is closed by some prospects of concurrent software development.

Original languageEnglish
Title of host publicationLectures on Runtime Verification
EditorsE. Bartocci, Y. Falcone
Place of PublicationCham
Number of pages27
ISBN (Electronic)978-3-319-75632-5
ISBN (Print)978-3-319-75631-8
Publication statusPublished - 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10457 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


  • Atomicity violations
  • Concurrency errors
  • Data races
  • Deadlocks
  • Dynamic analysis
  • Noise injection
  • Nondeterminism
  • Quality assurance
  • Software correctness


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