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Model-Based Testing for the Cloud

Authors Antonia Bertolino, Wolfgang Grieskamp, Robert Hierons, Yves Le Traon, Bruno Legeard, Henry Muccini, Amit Paradkar, David Rosenblum, Jan Tretmans



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Author Details

Antonia Bertolino
Wolfgang Grieskamp
Robert Hierons
Yves Le Traon
Bruno Legeard
Henry Muccini
Amit Paradkar
David Rosenblum
Jan Tretmans

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Antonia Bertolino, Wolfgang Grieskamp, Robert Hierons, Yves Le Traon, Bruno Legeard, Henry Muccini, Amit Paradkar, David Rosenblum, and Jan Tretmans. Model-Based Testing for the Cloud. In Practical Software Testing : Tool Automation and Human Factors. Dagstuhl Seminar Proceedings, Volume 10111, pp. 1-11, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2010)
https://doi.org/10.4230/DagSemProc.10111.8

Abstract

Software in the cloud is characterised by the need to be highly adaptive and continuously available. Incremental changes are applied to the deployed system and need to be tested in the field. Different configurations need to be tested. Higher quality standards regarding both functional and non-functional properties are put on those systems, as they often face large and diverse customer bases and/or are used as services from different peer service implementations. The properties of interest include interoperability, privacy, security, reliability, performance, resource use, timing constraints, service dependencies, availability, and so on. This paper discusses the state of the art in model-based testing of cloud systems. It focuses on two central aspects of the problem domain: (a) dealing with the adaptive and dynamic character of cloud software when tested with model-based testing, by developing new online and offline test strategies, and (b) dealing with the variety of modeling concerns for functional and non-functional properties, by devising a unified framework for them where this is possible. Having discussed the state of the art we identify challenges and future directions.
Keywords
  • Cloud computing
  • Model based testing
  • Non-functional properties

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