Filters

2009 - 200912010 - 20125
Reset filters

Settings

Subject: complexity metrics

Search Results

Now showing 1 - 6 of 6
  • Thumbnail Image
    Conference Object
    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.
  • Thumbnail Image
    Conference Object
    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.
  • Thumbnail Image
    Article
    Citation - WoS: 16
    Citation - Scopus: 19
    Data Complexity Metrics for Xml Web Services
    (Univ Suceava, Fac Electrical Eng, 2009) Basci, Dilek; Misra, Sanjay
    Web services that are based on eXtensible Markup Language (XML) technologies enable integration of diverse IT processes and systems and have been gaining extraordinary acceptance from the basic to the most complicated business and scientific processes. The maintainability is one of the important factors that affect the quality of the Web services that can be seen a kind of software project. The effective management of any type of software projects requires modelling, measurement, and quantification. This study presents a metric for the assessment of the quality of the Web services in terms of its maintainability. For this purpose we proposed a data complexity metric that can be evaluated by analyzing WSDL (Web Service Description Language) documents used for describing Web services.
  • Thumbnail Image
    Conference Object
    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.
  • Thumbnail Image
    Conference Object
    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.
  • Thumbnail Image
    Article
    Citation - WoS: 28
    Citation - Scopus: 28
    Experience in Predicting Fault-Prone Software Modules Using Complexity Metrics
    (Nctu-national Chiao Tung Univ Press, 2012) Yu, Liguo; Mishra, Alok
    Complexity metrics have been intensively studied in predicting fault-prone software modules. However, little work is done in studying how to effectively use the complexity metrics and the prediction models under realistic conditions. In this paper, we present a study showing how to utilize the prediction models generated from existing projects to improve the fault detection on other projects. The binary logistic regression method is used in studying publicly available data of five commercial products. Our study shows (1) models generated using more datasets can improve the prediction accuracy but not the recall rate; (2) lowering the cut-off value can improve the recall rate, but the number of false positives will be increased, which will result in higher maintenance effort. We further suggest that in order to improve model prediction efficiency, the selection of source datasets and the determination of cut-Off values should be based on specific properties of a project. So far, there are no general rules that have been found and reported to follow