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Institution Author: Mısra, SanjaySubject: software metrics

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Now showing 1 - 3 of 3
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    Article
    Citation - WoS: 11
    Citation - Scopus: 16
    An Approach for the Empirical Validation of Software Complexity Measures
    (Budapest Tech, 2011) Misra, Sanjay; Computer Engineering
    Software metrics are widely accepted tools to control and assure software quality. A large number of software metrics with a variety of content can be found in the literature; however most of them are not adopted in industry as they are seen as irrelevant to needs, as they are unsupported, and the major reason behind this is due to improper empirical validation. This paper tries to identify possible root causes for the improper empirical validation of the software metrics. A practical model for the empirical validation of software metrics is proposed along with root causes. The model is validated by applying it to recently proposed and well known metrics.
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    Article
    Citation - WoS: 32
    Citation - Scopus: 46
    Weighted Class Complexity: a Measure of Complexity for Object Oriented System
    (inst information Science, 2008) Misra, Sanjay; Akman, K. Ibrahim; Computer Engineering
    Software complexity metrics are used to predict critical information about reliability and maintainability of software systems. Object oriented software development requires a different approach to software complexity metrics. In this paper, we propose a metric to compute the structural and cognitive complexity of class by associating a weight to the class, called as Weighted Class Complexity (WCC). On the contrary, of the other metrics used for object oriented systems, proposed metric calculates the complexity of a class due to methods and attributes in terms of cognitive weight. The proposed metric has been demonstrated with 00 examples. The theoretical and practical evaluations based on the information theory have shown that the proposed metric is on ratio scale and satisfies most of the parameters required by the measurement theory.
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    Article
    Citation - WoS: 11
    Citation - Scopus: 12
    Estimating Quality of Javascript
    (Zarka Private Univ, 2012) Misra, Sanjay; Cafer, Ferid; Computer Engineering
    This paper proposes a complexity metric for Java script since JavaScript is the most popular scripting language that can run in all of the major web browsers. The proposed metric "JavaScript Cognitive Complexity Measure (JCCM)" is intended to assess the design quality of scripts. The metrics has been evaluated theoretically and validated empirically through real test cases. The metric has also been compared with other similar metrics. The theoretical, empirical validation and comparative study prove the worth and robustness of the metric.