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CSOC2018 2018: Software Engineering and Algorithms in Intelligent Systems pp 356–366Cite as

Metrics in Software Development and Evolution with Design Patterns

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 763))

Abstract

Software metrics are employed in software development and maintenance to assess different quality attributes, support processes of software design, testing, and reengineering. We overview software metrics used with regard to design patterns, especially these dealing with object-oriented program features. Metrics of this kind have also supported certain approaches to refactoring to design patterns. However, code refactoring to design patterns requires selection of suitable code parts and taking decisions about pattern application. In order to make this process partially or fully automated, specialized relevance metrics have been proposed. They were designed as a structure-based assessment of an adequacy of code to be transformed into a given design pattern. Relevance metrics for refactoring to selected design patterns (Replace Type Code with Class, Replace State-Altering Conditions with State) are presented in the paper. The metrics were tested in a prototype tool for automated refactoring of Java programs to design patterns, giving satisfactory results.

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Authors and Affiliations

  1. Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland

    Anna Derezińska

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  1. Anna Derezińska
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Correspondence to Anna Derezińska .

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Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

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Derezińska, A. (2019). Metrics in Software Development and Evolution with Design Patterns. In: Silhavy, R. (eds) Software Engineering and Algorithms in Intelligent Systems. CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 763. Springer, Cham. https://doi.org/10.1007/978-3-319-91186-1_37

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