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Improving Evidence about Software Technologies: A Look at Model-Based Testing

Software, IEEE, 25: 10-13, 2008.
Authors: Arilo Dias Neto and Rajesh Subramanyan and Marlon Vieira and Guilherme Horta Travassos and Forrest Shull
URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=4497747&arnumber=4497754&count=27&index=6
extra URLs: Method: How We Selected and Analyzed the Studies
Tags: based model testing uml
Abstract: Model-based testing (MBT) approaches help automatically generate test cases using models extracted from software artifacts, and hold the promise to greatly affect how we build software. A review of the literature shows that certain specialized domains are applying MBT, but it does not yet seem to be a mainstream approach. The authors therefore conducted a systematic review of the literature to investigate how much evidence is available on MBT's costs and benefits, especially regarding how these techniques compare to other common testing approaches. They use these results to derive suggestions regarding what types of studies might further increase the deployment of these techniques.
| URL | BibTeX  
@article{Neto2008,
title = {Improving Evidence about Software Technologies: A Look at Model-Based Testing},
author = {Arilo Dias Neto and Rajesh Subramanyan and Marlon Vieira and Guilherme Horta Travassos and Forrest Shull},
booktitle = {Software, IEEE},
month = {May/June},
note = {MR: necessarily regard the full results of the review: http://csdl2.computer.org/comp/mags/so/2008/extras/mso2008030010x1.pdf Sehr ausführlicher Überblick über die aktuellen MBT-Ansätze (vor allem auf UML-basierende). Dazu zählen: requirement/specification/use case/model/UML/finite state machine - based/driven - testing/test - approach/method/methodology/technique Usefulness for IST-SPL (-/0/+/++): + (extensive state of the art) },
pages = {10-13},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=4497747&arnumber=4497754&count=27&index=6},
volume = {25},
year = {2008},
abstract = {Model-based testing (MBT) approaches help automatically generate test cases using models extracted from software artifacts, and hold the promise to greatly affect how we build software. A review of the literature shows that certain specialized domains are applying MBT, but it does not yet seem to be a mainstream approach. The authors therefore conducted a systematic review of the literature to investigate how much evidence is available on MBT's costs and benefits, especially regarding how these techniques compare to other common testing approaches. They use these results to derive suggestions regarding what types of studies might further increase the deployment of these techniques.},
issn = {0740-7459}, doi = {10.1109/MS.2008.64},
keywords = {based model testing uml }
}