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Theses and dissertations (Accounting and Informatics)

Permanent URI for this collectionhttp://ir-dev.dut.ac.za/handle/10321/4

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    Creating a framework for promoting perceptions of ease of use for e-learning
    (2019-06-28) Dhebideen, Sharitha; Heukelman, Delene
    Information Technology is so widespread and moving at such a rapid speed that it has influenced the education sector at a fast and pressurised pace. This influence has placed focus on the new terminology education technology and blended learning. In order to introduce and implement education technology, Higher Education Institutions (HEIs) worldwide have been introducing Learning Management Systems (LMSs) to support the charges in pedagogy to improve the collaboration learners themselves and between learners and educators. The implementation of LMSs at South African HEIs are still lagging behind in comparison to first world countries. Nonetheless, changes and advances in education technology have been taking place. These changes have to some degree brought about resistance towards the use of technology (software) to change teaching technique. Mixed methods research (quantitative and qualitative) was used to conduct a case study analysis at the Durban University of Technology (the case of DUT academic staff using a LMS). The case study allowed the analysis of perceived ease of use (PEOU) of LMSs at this HEI. The perceptions of the academic staff was analysed by executing a survey and by conducting interviews. The study identified additional factors that have a significant influence on PEOU on the Technology Acceptance Model 3 (TAM) (Venkatesh and Bala 2008). Literature, information from the interviews and the themes that emerged from the qualitative results was used to propose a theoretical tiered pedagogical framework that could be adopted by other HEIs planning to adopt a LMS.
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    Validating cohesion metrics by mining open source software data with association rules
    (2008) Singh, Pariksha; Eyono Obono, Seraphin Desire; Petkov, Doncho
    Competitive pressure on the software industry encourages organizations to examine the effectiveness of their software development and evolutionary processes. Therefore it is important that software is measured in order to improve the quality. The question is not whether we should measure software but how it should be measured. Software measurement has been in existence for over three decades and it is still in the process of becoming a mature science. The many influences of new software development technologies have led to a diverse growth in software measurement technologies which have resulted in various definitions and validation techniques. An important aspect of software measurement is the measurement of the design, which nowadays often means the measurement of object oriented design. Chidamer and Kemerer (1994) designed a metric suite for object oriented design, which has provided a new foundation for metrics and acts as a starting point for further development of the software measurement science. This study documents theoretical object oriented cohesion metrics and calculates those metrics for classes extracted from a sample of open source software packages. For each open source software package, the following data is recorded: software size, age, domain, number of developers, number of bugs, support requests, feature requests, etc. The study then tests by means of association rules which theoretical cohesion metrics are validated hypothesis: that older software is more cohesive than younger software, bigger packages is less cohesive than smaller packages, and the smaller the software program the more maintainable it is. This study attempts to validate existing theoretical object oriented cohesion metrics by mining open source software data with association rules.