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Constructing high quality use case models: a systematic review of current practices.

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Title: Constructing high quality use case models: a systematic review of current practices.
Authors: El-Attar, Mohamed1 melattar@kfupm.edu.sa, Miller, James2 jm@ece.ualberta.ca
Source: Requirements Engineering. Sep2012, Vol. 17 Issue 3, p187-201. 15p. 14 Diagrams, 6 Charts.
Subjects: Use cases (Systems engineering), Antipatterns (Software engineering), Unified modeling language, Theory of knowledge, Meta-analysis
Abstract: There is an increasing recognition for the need to develop high quality use case models from the professional and academic communities. Quality in use case models is of particular importance when they are utilized within a use case driven development process, whereby every aspect of development is driven by the models and influenced by their quality. Many practitioners and researchers have provided guidelines, suggestions and techniques to construct high quality use case models. This invaluable body of knowledge is disseminated across numerous literature resources. Without unifying this knowledge into one resource, it cannot be expected that a use case modeler would be fully aware of the entire body of knowledge and benefitting from it. This paper presents a systematic review that was conducted in order to identify and amalgamate this knowledge. The amalgamated knowledge is presented in a unified form, specifically as a set of 26 anti-patterns, which modelers can use to improve the quality of their models. [ABSTRACT FROM AUTHOR]
Copyright of Requirements Engineering is the property of Springer Nature 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.)
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  Data: There is an increasing recognition for the need to develop high quality use case models from the professional and academic communities. Quality in use case models is of particular importance when they are utilized within a use case driven development process, whereby every aspect of development is driven by the models and influenced by their quality. Many practitioners and researchers have provided guidelines, suggestions and techniques to construct high quality use case models. This invaluable body of knowledge is disseminated across numerous literature resources. Without unifying this knowledge into one resource, it cannot be expected that a use case modeler would be fully aware of the entire body of knowledge and benefitting from it. This paper presents a systematic review that was conducted in order to identify and amalgamate this knowledge. The amalgamated knowledge is presented in a unified form, specifically as a set of 26 anti-patterns, which modelers can use to improve the quality of their models. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Requirements Engineering is the property of Springer Nature 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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