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Department: Atılım UniversitySubject: complexity metric

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    Article
    Citation - WoS: 12
    Citation - Scopus: 17
    Entropy as a Measure of Quality of Xml Schema Document
    (Zarka Private Univ, 2011) Basci, Dilek; Misra, Sanjay; Computer Engineering
    In this paper, a metric for the assessment of the structural complexity of eXtensible Markup Language schema document is formulated. The present metric 'Schema Entropy is based on entropy concept and intended to measure the complexity of the schema documents written in W3C XML Schema Language due to diversity in the structures of its elements. The SE is useful in evaluating the efficiency of the design of Schemas. A good design reduces the maintainability efforts. Therefore, our metric provides valuable information about the reliability and maintainability of systems. In this respect, this metric is believed to be a valuable contribution for improving the quality of XML-based systems. It is demonstrated with examples and validated empirically through actual test cases.
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    Article
    Citation - WoS: 7
    Estimating Complexity of Programs in Python Language
    (Univ Osijek, Tech Fac, 2011) Misra, Sanjay; Cafer, Ferid
    In this paper, a complexity metric for Python language is formulated. Since Python is an object oriented language, the present metric is capable to evaluate any object-oriented language. We validate our metric with case study, comparative study and empirical validation. The case study is in Python, Java and C++ and the results prove that Python is better than other object-oriented languages. Later, we validate the metric empirically with a real project, which is developed in Python.