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A UML model-based approach to detect infeasible paths.

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Title: A UML model-based approach to detect infeasible paths.
Authors: Kundu, Debasish1, Sarma, Monalisa2, Samanta, Debasis1 dsamanta@iitkgp.ac.in
Source: Journal of Systems & Software. Sep2015, Vol. 107, p71-92. 22p.
Subjects: Cost effectiveness, Computer software costs, Software engineering, Software maintenance, Computer software developers, Computer software development, Computer programming management
Abstract: UML model-based analysis is gaining wide acceptance for its cost effectiveness and lower overhead for processing compared to code-based analysis. A possible way to enhance the precision of the results of UML based analysis is by detecting infeasible paths in UML models. Our investigation reveals that two interaction patterns called Null Reference Check (NLC) and Mutually Exclusive (MUX) can cause a large number of infeasible paths in UML sequence diagrams. To detect such infeasible paths, we construct a graph model (called SIG), generate MM paths from the graph model, where an MM path refers to an execution sequence of model elements from the start to end of a method scope. Subsequently, we determine infeasibility of the MM paths with respect to MUX and NLC patterns. Our proposed model-based approach is useful to help exclude generation of test cases and test data for prior-detected infeasible paths, refine test effort estimation, and facilitate better test planning in the early stages of software development life cycle. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Systems & Software is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 103656361
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PubType: Academic Journal
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  Data: A UML model-based approach to detect infeasible paths.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Systems+%26+Software%22">Journal of Systems & Software</searchLink>. Sep2015, Vol. 107, p71-92. 22p.
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  Data: UML model-based analysis is gaining wide acceptance for its cost effectiveness and lower overhead for processing compared to code-based analysis. A possible way to enhance the precision of the results of UML based analysis is by detecting infeasible paths in UML models. Our investigation reveals that two interaction patterns called Null Reference Check (NLC) and Mutually Exclusive (MUX) can cause a large number of infeasible paths in UML sequence diagrams. To detect such infeasible paths, we construct a graph model (called SIG), generate MM paths from the graph model, where an MM path refers to an execution sequence of model elements from the start to end of a method scope. Subsequently, we determine infeasibility of the MM paths with respect to MUX and NLC patterns. Our proposed model-based approach is useful to help exclude generation of test cases and test data for prior-detected infeasible paths, refine test effort estimation, and facilitate better test planning in the early stages of software development life cycle. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Systems & Software is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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      – SubjectFull: Software engineering
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              Text: Sep2015
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