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An Energy-aware Mutation Testing Framework for EAST-ADL Architectural Models
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-7663-5497
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2416-4205
Mälardalen University.
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2017 (English)In: 29th Nordic Workshop on Programming Theory NWPT'17, Turku, Finland , Finland: TUCS Lecture Notes , 2017, 40-43 p.Conference paper, Published paper (Refereed)
Abstract [en]

Early design artifacts of embedded systems, such as architectural models, represent convenient abstractions for reasoning about a system’s structure and functionality. One such example is the Electronic Architecture and Software Tools-Architecture Description Language (EAST-ADL), a domain-specific architectural language that targets the automotive industry. EAST-ADL is used to represent both hardware and software elements, as well as related extra-functional information (e.g., timing properties, triggering information, resource consumption). Testing architectural models is an important activity in engineering large-scale industrial systems, which sparks a growing research interest. Modern embedded systems, such as autonomous vehicles and robots, have low-energy computing demands, making testing for energy usage increasingly important. Nevertheless, testing resource-aware properties of architectural models has received less attention than the functional testing of such models. In our previous work, we have outlined a method for testing energy consumption in embedded systems using manually created faults based on statistical model checking of a priced formal system model. In this paper, we extend our previous work by showing how mutation testing] can be used to generate and select test cases based on the concept of energy-aware mutants– small syntactic modifications in the architectural model, intended to mimic real energy faults. Test cases that can distinguish a certain behavior from its mutations are sensitive to changes in the model, and hence considered to be good at detecting faults. The main contributions of this paper are: (i) an approach for creating energy-related mutants for EAST-ADL architectural models, (ii) a method for overcoming the equivalent mutant problem (i.e., the problem of finding a test case which can distinguish the observable behavior of a mutant from the original one), (iii) a test generation approach based on UPPAAL Statistical Model Checker (SMC), and (iv) a test selection criteria based on mutation analysis using our MATS tool.

Place, publisher, year, edition, pages
Turku, Finland , Finland: TUCS Lecture Notes , 2017. 40-43 p.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-37338ISBN: 978-952-12-3608-2 (electronic)OAI: oai:DiVA.org:mdh-37338DiVA: diva2:1161001
Conference
29th Nordic Workshop on Programming Theory NWPT'17, 01 Nov 2017, Turku, Finland , Finland
Projects
VeriSpec - Structured Specification and Automated Verification for Automotive Functional SafetyCAMI - Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL (Ambient Assisted Living)DPAC - Dependable Platforms for Autonomous systems and ControlMegaMaRt2 - Megamodelling at Runtime (ECSEL/Vinnova)
Available from: 2017-11-28 Created: 2017-11-28 Last updated: 2017-11-28Bibliographically approved

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https://research.it.abo.fi/nwpt17/proceedings/NWPT2017proceedings.pdf

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Marinescu, RalucaFilipovikj, PredragEnoiu, Eduard PaulSeceleanu, Cristina

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Marinescu, RalucaFilipovikj, PredragEnoiu, Eduard PaulLarsson, JonatanSeceleanu, Cristina
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