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COAR Access Rights: metadata only accessSubject: complexity metrics

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Now showing 1 - 4 of 4
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    Citation - WoS: 2
    A Multi-Paradigm Complexity Metric (mcm)
    (Springer-verlag Berlin, 2011) Misra, Sanjay; Akman, Ibrahim; Cafer, Ferid
    Huge amount of researches and software metrics have been proposed for procedural and object-oriented languages. However, there are only few metrics available in the literature related with multi-paradigm programming languages. In this paper, we propose a metric to evaluate the code written in multi-paradigm language. Our proposed metric can be used for most of the programming paradigms, including both procedural and object-oriented languages.
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    A Multi-Paradigm Complexity Metric (mcm)
    (2011) Misra,S.; Akman,I.; Cafer,F.
    Huge amount of researches and software metrics have been proposed for procedural and object-oriented languages. However, there are only few metrics available in the literature related with multi-paradigm programming languages. In this paper, we propose a metric to evaluate the code written in multi-paradigm language. Our proposed metric can be used for most of the programming paradigms, including both procedural and object-oriented languages. © 2011 Springer-Verlag.
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    Citation - Scopus: 3
    A Multi-Paradigm Complexity Metric (mcm)
    (2011) Misra,S.; Akman,I.; Cafer,F.
    Huge amount of researches and software metrics have been proposed for procedural and object-oriented languages. However, there are only few metrics available in the literature related with multi-paradigm programming languages. In this paper, we propose a metric to evaluate the code written in multi-paradigm language. Our proposed metric can be used for most of the programming paradigms, including both procedural and object-oriented languages. © 2011 Springer-Verlag.
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    Citation - WoS: 3
    A Software Metric for Python Language
    (Springer-verlag Berlin, 2010) Misra, Sanjay; Cafer, Ferid
    There are many metrics for evaluating the quality of codes written in different programming languages. However, no efforts have been done to propose metrics for Python, which is an important and useful language especially for the software development for the embedded systems. In this present work, we are trying to investigate all the factors, which are responsible for increasing the complexity of code written in Python language. Accordingly, we have proposed a unified metric for this language. Practical applicability of the metric is demonstrated on a case study.