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  1. Proceedings of the Joint 5th International Workshop on Software Engineering for Systems-of-Systems and 11th Workshop on Distributed Software Development, Software Ecosystems and Systems-of-Systems (JSOS '17)
  2. Mutation analysis for system of systems policy testing
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Refining missions to architectures in software-intensive systems-of-systems
Infrastructures, integration and architecting during and after digital transformation
A software ecosystem for a virtual learning environment: SOLAR SECO
Investigating factors that influence developers' experience in mobile software ecosystems
Emergent configurations in the internet of things as system of systems
Rethinking interoperability in contemporary software systems
Revisiting criteria for description of MDE artifacts
R.ECOS: educational recommender ecosystem
HEAL ME: an architecture for health software ecosystem evaluation
On the interplay of business process modeling and missions in systems-of-information systems
Mutation analysis for system of systems policy testing
Automated approach for asset integration in eclipse IDE
Software ecosystems' architectural health: another view
Company health in mobile software ecosystem (MSECO): research perspectives and challenges
Identifying actors to support software ecosystem health
An evaluation of motivational factors for distributed development teams

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Mutation analysis for system of systems policy testing

Content Provider ACM Digital Library
Author Bae, Doo-Hwan Shin, Donghwan Yun, Wonkyung
Abstract A System of Systems (SoS) is a set of the constituent systems (CS) which has managerial and operational independence. To address an SoS-level goal that cannot be satisfied by each CS, an SoS policy guides or forces the CSs to collaborate with each other. If there is a fault in the SoS policy, SoS may fail to reach its goal, even if there is no fault in the CSs. Such a call for SoS policy testing leads to an essential question---how can testers evaluate the effectiveness of test cases? In this paper, we suggest a mutation analysis approach for SoS policy testing. Mutation analysis is a systematic way of evaluating test cases using artificial faults called mutants. As a general mutation framework for SoS policy testing, we present an overview of mutation analysis in SoS policy testing as well as the key aspects that must be defined in practice. To demonstrate the applicability of the proposed approach, we provide a case study using a traffic management SoS with the Simulation of Urban Mobility (SUMO) simulator. The results show that the mutation analysis is effective at evaluating fault detection effectiveness of test cases for SoS policies at a reasonable cost.
Starting Page 16
Ending Page 22
Page Count 7
File Format PDF
ISBN 9781538627990
DOI 10.1109/JSOS.2017..9
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2017-05-20
Access Restriction Subscribed
Subject Keyword System of systems testing System of systems policy Mutation analysis Simulation of urban mobility (sumo) System of systems
Content Type Text
Resource Type Article
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