Research Publications

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    Limitations of an object-oriented metric: Weighted complexity measure
    (IEEE, 2015-09-23) De Silva, D. I; Kodagoda, N; Kodituwakku, S. R; Pinidiyaarachchi, A. J
    Many computer science practitioners and software developers believes that the complexity of a program could be controlled more effectively by using object-oriented programming concepts. In addition to controlling complexity, the object-oriented approach allows faster development, reduction in costs, higher quality, easier maintenance, increased scalability, better information structures, and increased adaptability. As such, more and more programs are written using the object-oriented programming approach rather than using the traditional functional approach. This demand has spurred the provision for a number of object-oriented metrics. Out of them, Chidamber and Kemerers' metrics suite is one of the most prominent object-oriented metrics that has been proposed. It has been widely validated and has been accepted as a useful predictor of object-oriented design complexity. But it does not consider the complexities that occur due to factors such as the nesting level and type of control structures, and the size of the program. Thus, Chhillar and Bhasins' introduced the weighted complexity measure to address these issues. It is the only metric which considers the complexities that occur due to inheritance level of statements, nesting level and type of control structures, and the size of the program. However, weighted complexity measure also has some limitations. This paper attempts to draw the readers' attention to those limitations, with the hope that it will be further improved by addressing them.
  • Thumbnail Image
    PublicationEmbargo
    Limitations of an object-oriented metric: Weighted complexity measure
    (IEEE, 2015-09-23) De Silva, D. I; Kodagoda, N; Kodituwakku, S. R; Pinidiyaarachchi, A. J
    Many computer science practitioners and software developers believes that the complexity of a program could be controlled more effectively by using object-oriented programming concepts. In addition to controlling complexity, the object-oriented approach allows faster development, reduction in costs, higher quality, easier maintenance, increased scalability, better information structures, and increased adaptability. As such, more and more programs are written using the object-oriented programming approach rather than using the traditional functional approach. This demand has spurred the provision for a number of object-oriented metrics. Out of them, Chidamber and Kemerers' metrics suite is one of the most prominent object-oriented metrics that has been proposed. It has been widely validated and has been accepted as a useful predictor of object-oriented design complexity. But it does not consider the complexities that occur due to factors such as the nesting level and type of control structures, and the size of the program. Thus, Chhillar and Bhasins' introduced the weighted complexity measure to address these issues. It is the only metric which considers the complexities that occur due to inheritance level of statements, nesting level and type of control structures, and the size of the program. However, weighted complexity measure also has some limitations. This paper attempts to draw the readers' attention to those limitations, with the hope that it will be further improved by addressing them.
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    PublicationEmbargo
    Lessons Learnt: A Study of Student Feedback Regarding Online Proficiency Assessment
    (Faculty of Humanities and Sciences - SLIIT, 2021-03-26) Rathnasena, U.; Kalinga, J.
    Subsequent to the revolutionary advances in technology and its remarkable impact on universities, online summative assessment has become increasingly commonplace and popular in the academia. Consequently, online English language proficiency assessment has also gained momentum globally. This study was conducted at a Sri Lankan private university where online assessment is utilized as the standard summative test for several modules including EAP (English for Academic Purposes) module. The main objective was to explore undergraduates’ perceptions of the online EAP assessment and its effectiveness and feasibility in gauging competency of English among ESL (English as a Second Language) learners. A quantitative approach was chosen for this study where a questionnaire was used as the primary data collection tool. The sample was a convenience sample of 120 undergraduates who had taken the online test. The findings revealed the undergraduates’ displeasure regarding several aspects of online English assessment. They were critical of the reading component of the online test in addition to experiencing time management issues, technical limitations that marred their performance.