DROPS

Document

Model-Based Testing for the Cloud

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

Published in: Dagstuhl Seminar Proceedings, Volume 10111, Practical Software Testing : Tool Automation and Human Factors (2010)

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.

Cite as

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)

Copy BibTex To Clipboard

@InProceedings{bertolino_et_al:DagSemProc.10111.8,
  author =	{Bertolino, Antonia and Grieskamp, Wolfgang and Hierons, Robert and Le Traon, Yves and Legeard, Bruno and Muccini, Henry and Paradkar, Amit and Rosenblum, David and Tretmans, Jan},
  title =	{{Model-Based Testing for the Cloud}},
  booktitle =	{Practical Software Testing : Tool Automation and Human Factors},
  pages =	{1--11},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10111},
  editor =	{Mark Harman and Henry Muccini and Wolfram Schulte and Tao Xie},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10111.8},
  URN =		{urn:nbn:de:0030-drops-26251},
  doi =		{10.4230/DagSemProc.10111.8},
  annote =	{Keywords: Cloud computing, Model based testing, Non-functional properties}
}

Document

DOI: 10.4230/DagSemProc.10111.9

Model-based Testing: Next Generation Functional Software Testing

Authors: Bruno Legeard

Published in: Dagstuhl Seminar Proceedings, Volume 10111, Practical Software Testing : Tool Automation and Human Factors (2010)

Abstract

The idea of model-based testing is to use an explicit abstract model of a SUT and its environment to automatically derive tests for the SUT: the behavior of the model of the SUT is interpreted as the intended behavior of the SUT. The technology of automated model-based test case generation has matured to the point where large-scale deployments of this technology are becoming commonplace. The prerequisites for success, such as qualification of the test team, integrated tool chain availability and methods, are now identified, and a wide range of commercial and open-source tools are available. Although MBT will not solve all testing problems, it is an important and useful technique, which brings significant progress over the state of the practice for functional software testing effectiveness, and can increase productivity and improve functional coverage. In this talk, we'll adress the current trend of deploying MBT in the industry, particularly in the TCoE - Test Center of Excellence - managed by the big System Integrators, as a vector for software testing "industrialization".

Cite as

Bruno Legeard. Model-based Testing: Next Generation Functional Software Testing. In Practical Software Testing : Tool Automation and Human Factors. Dagstuhl Seminar Proceedings, Volume 10111, pp. 1-13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

Copy BibTex To Clipboard

@InProceedings{legeard:DagSemProc.10111.9,
  author =	{Legeard, Bruno},
  title =	{{Model-based Testing: Next Generation Functional Software Testing}},
  booktitle =	{Practical Software Testing : Tool Automation and Human Factors},
  pages =	{1--13},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10111},
  editor =	{Mark Harman and Henry Muccini and Wolfram Schulte and Tao Xie},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10111.9},
  URN =		{urn:nbn:de:0030-drops-26207},
  doi =		{10.4230/DagSemProc.10111.9},
  annote =	{Keywords: Model-based testing, functional testing, test automation, process industrialization}
}

Search Results

Documents authored by Legeard, Bruno

Model-Based Testing for the Cloud

Abstract

Cite as

Model-based Testing: Next Generation Functional Software Testing

Abstract

Cite as

Thanks for your feedback!

Could not send message