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Search Based Testing of Embedded Systems Implemented in IEC 61131-3: An Industrial Case Study
Swedish Institute of Computer Science, Kista Sweden.ORCID iD: 0000-0003-2234-1255
Swedish Institute of Computer Science, Kista Sweden.ORCID iD: 0000-0003-1597-6738
Bombardier Transportation, Västeras.
2013 (English)In: Proceedings - IEEE 6th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2013, 2013, 425-432 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a case study of search-based test generation for embedded system software units developed using the Function Block Diagrams (FBDs), a graphical language in the IEC 61131-3 standard aimed at programmable logic controllers (PLCs). We consider 279 different components from the train control software developed by Bombardier Transportation, a major rail vehicle manufacturer. The software is compiled into C code with a particular structure. We use a modified hill climbing algorithm for generating test data to maximize MC/DC coverage for assignments with logical expressions in the C code, while retaining the semantics of the original FBD implementation. An experimental evaluation for comparing the effectiveness (coverage rate) and the efficiency (required number of executions) of hill climbing algorithm with random testing is presented. The results show that random testing performs well for most units under test, while around 30% of the artifacts significantly benefit from the hill climbing algorithm. Structural properties of the units that affect the performance of hill climbing and random testing are also discussed.

Place, publisher, year, edition, pages
2013. 425-432 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-21343DOI: 10.1109/ICSTW.2013.78Scopus ID: 2-s2.0-84883376015ISBN: 978-1-4799-1324-4 (print)OAI: oai:DiVA.org:mdh-21343DiVA: diva2:649549
Conference
IEEE 6th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2013; Luxembourg; Luxembourg; 18 March 2013 through 20 March 2013
Projects
ATAC - Advanced Test Automation for Complex Software-Intensive System (ITEA2/Vinnova)
Available from: 2013-09-18 Created: 2013-09-11 Last updated: 2014-09-15Bibliographically approved
In thesis
1. Applications of Optimization Methods in Industrial Maintenance Scheduling and Software Testing
Open this publication in new window or tab >>Applications of Optimization Methods in Industrial Maintenance Scheduling and Software Testing
2014 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

As the world is getting more and more competitive, efficiency has become a bigger concern than ever for many businesses. Certain efficiency concerns can naturally be expressed as optimization problems, which is a well studied field in the academia. However, optimization algorithms are not as widely employed in industrial practice as they could. There are various reasons for the lack of widespread adoption. For example, it can be difficult or even impossible for non-experts to formulate a detailed mathematical model of the problem. On the other hand, a scientist usually does not have a deep enough understanding of critical business details, and may fail to capture enough details of the real- world phenomenon of concern. While a model at an arbitrary abstraction level is often good enough to demonstrate the optimization approach, ignoring relevant aspects can easily render the solution impractical for the industry. This is an important problem, because applicability concerns hinder the possible gains that can be achieved by using the academic knowledge in industrial practice. In this thesis, we study the challenges of industrial optimization problems in the form of four case studies at four different companies, in the domains of maintenance schedule optimization and search-based software testing. Working with multiple case studies in different domains allows us to better understand the possible gains and practical challenges in applying optimization methods in an industrial setting. Often there is a need to trade precision for applicability, which is typically very context dependent. Therefore, we compare our results against base values, e.g., results from simpler algorithms or the state of the practice in the given context, where applicable. Even though we cannot claim that optimization methods are applicable in all situations, our work serves as an empirical evidence for the usability of optimization methods for improvements in different industrial contexts. We hope that our work can encourage the adoption of optimization techniques by more industrial practitioners.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2014
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 180
National Category
Computer Science
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-25944 (URN)978-91-7485-163-2 (ISBN)
Presentation
2014-10-14, R3-131, Mälardalens högskola, Västerås, 13:30 (English)
Opponent
Supervisors
Available from: 2014-09-15 Created: 2014-09-14 Last updated: 2014-10-08Bibliographically approved

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Citation style
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