Proceedings of the 3rd International Workshop on Automation of Software Test 2008
DOI: 10.1145/1370042.1370047
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Supporting the selection of model-based testing approaches for software projects

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Cited by 6 publications
(11 citation statements)
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References 7 publications
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“…For example most of the research is based on test identification through graph coverage techniques. Therefore the use of MBT and its automation in software projects has been influenced by the risk factors, complexity and cost of the project [13]. The advantage still lies in deriving functional requirements from flow diagrams that guides the measurement of paths and omission of low value paths for testing [14], [15].…”
Section: Related Workmentioning
confidence: 99%
“…For example most of the research is based on test identification through graph coverage techniques. Therefore the use of MBT and its automation in software projects has been influenced by the risk factors, complexity and cost of the project [13]. The advantage still lies in deriving functional requirements from flow diagrams that guides the measurement of paths and omission of low value paths for testing [14], [15].…”
Section: Related Workmentioning
confidence: 99%
“…The next subsections describe a strategy, called Porantim, to support the selection of MBT approaches for software projects, as first proposed in [22]. …”
Section: Strategy For Supporting the Selection Of Mbt Approachesmentioning
confidence: 99%
“…However, the scientific knowledge (evidences) available regarding these approaches is very limited [20]. Keeping MBT approaches in a continuously updated body of knowledge for a software organization context is not a trivial task [22]. There are some factors associated with the testing process that cannot be managed by an MBT approach affecting its application in real software projects [22].…”
Section: Introductionmentioning
confidence: 99%
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“…A computerized infrastructure to support software engineers selecting MBT approaches accordingly the main software project characteristics has been proposed [6]. The characterization of MBT approaches represents the body of knowledge organized into a repository used by the infrastructure.…”
Section: Introductionmentioning
confidence: 99%