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Towards Classification of Concurrency Bugs Based on Observable Properties
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5058-7351
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-7235-6888
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5032-2310
Ericsson AB, Kista, Sweden.ORCID iD: 0000-0002-5070-9312
2015 (English)In: Proceedings - 1st International Workshop on Complex Faults and Failures in Large Software Systems, COUFLESS 2015, 2015, p. 41-47Conference paper, Published paper (Refereed)
Abstract [en]

In software engineering, classification is a way to find an organized structure of knowledge about objects. Classification serves to investigate the relationship between the items to be classified, and can be used to identify the current gaps in the field. In many cases users are able to order and relate objects by fitting them in a category. This paper presents initial work on a taxonomy for classification of errors (bugs) related to concurrent execution of application level software threads. By classifying concurrency bugs based on their corresponding observable properties, this research aims to examine and structure the state of the art in this field, as well as to provide practitioner support for testing and debugging of concurrent software. We also show how the proposed classification, and the different classes of bugs, relates to the state of the art in the field by providing a mapping of the classification to a number of recently published papers in the software engineering field.

Place, publisher, year, edition, pages
2015. p. 41-47
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-28159DOI: 10.1109/COUFLESS.2015.14ISI: 000380460500007Scopus ID: 2-s2.0-84960328955ISBN: 978-147991934-5 (print)OAI: oai:DiVA.org:mdh-28159DiVA, id: diva2:820643
Conference
First International Workshop on Complex Faults and Failures in Large Software systems, COUFFLESS 2015, May 23, 2015
Projects
SYNOPSIS - Safety Analysis for Predictable Software Intensive SystemsAvailable from: 2015-06-12 Created: 2015-06-08 Last updated: 2018-10-29Bibliographically approved
In thesis
1. Bugs and Debugging of Concurrent and Multicore Software
Open this publication in new window or tab >>Bugs and Debugging of Concurrent and Multicore Software
2016 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Mälardalen University Press, 2016
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 230
National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-31421 (URN)978-91-7485-261-5 (ISBN)
Presentation
2016-05-23, Gamma, Mälardalens högskola, Västerås, 10:15 (English)
Supervisors
Projects
SYNOPSIS Project
Available from: 2016-04-13 Created: 2016-04-12 Last updated: 2016-04-27Bibliographically approved
2. Concurrency Bugs: Characterization, Debugging and Runtime Verification
Open this publication in new window or tab >>Concurrency Bugs: Characterization, Debugging and Runtime Verification
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Concurrent software has been increasingly adopted in recent years, mainly due to the introduction of multicore platforms. However, concurrency bugs are still difficult to test and debug due to their complex interactions involving multiple threads (or tasks). Typically, real world concurrent software has huge state spaces. Thus, testing techniques and handling of concurrency bugs need to focus on exposing the bugs in this large space. However, existing solutions typically do not provide debugging information to developers (and testers) for understanding the bugs.

Our work focuses on improving concurrent software reliability via three contributions: 1) An investigation of concurrent software challenges with the aim to help developers (and testers) to better understand concurrency bugs. We propose a classification of concurrency bugs and discuss observable properties of each type of bug. In addition, we identify a number of gaps in the body of knowledge on concurrent software bugs and their debugging. 2) Exploring concurrency related bugs in real-world software with respect to the reproducibility of bugs, severity of their consequence and effort required to fix them. Our findings here is that concurrency bugs are different from other bugs in terms of their fixing time and severity, while they are similar in terms of reproducibility. 3) A model for monitoring concurrency bugs and the implementation and evaluation of a related runtime verification tool to detect the bugs. In general, runtime verification techniques are used to (a) dynamically verify that the observed behaviour matches specified properties and (b) explicitly recognize understandable behaviors in the considered software. Our implemented tool is used to detect concurrency bugs in embedded software and is in its current form tailored for the FreeRTOS operating system. It helps developers and testers to automatically identify concurrency bugs and subsequently helps to reduce their finding and fixing time.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2018
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 278
National Category
Embedded Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-41237 (URN)978-91-7485-412-1 (ISBN)
Public defence
2018-12-04, Kappa, Mälardalens högskola, Västerås, 13:30 (English)
Opponent
Supervisors
Available from: 2018-10-29 Created: 2018-10-29 Last updated: 2018-11-02Bibliographically approved

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Citation style
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