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Type :thesis
Subject :LB Theory and practice of education
Main Author :Alzghoul, Omar Mohammad Raji
Title :A decision matrix for optimize the ability of software engineering students
Place of Production :Tanjong Malim
Publisher :Fakulti Seni, Komputeran dan Industri Kreatif
Year of Publication :2019
Corporate Name :Universiti Pendidikan Sultan Idris
PDF Guest :Click to view PDF file

Abstract : Universiti Pendidikan Sultan Idris
This research aimed to propose a decision matrix based on multi-criteria analysis to aid decision-makers in optimizing the ability of software engineering students. In this study, an experiment was conducted on the basis of several stages. First, decision matrix was constructed to rank the ability of software engineering students based on multimeasurement criteria (Grade Point Average (GPA) and soft skills) and Software Development Life Cycle (SDLC) process levels as alternatives. Then, the constructed decision matrix was adapted by distributing the courses of SDLC process levels based on Software Engineering Body of Knowledge (SWEBOK) standard and expert opinions using Multi-Criteria Decision Making (MCDM) techniques based on Analytic Hierarchy Process (AHP) to weight the alternatives. Next, the ability of students was ranked based on the adapted decision matrix using the integrated AHP to weight the multi-measurement criteria, and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) was used to rank the alternatives. The data consisted of the grades of courses and soft skills of 60 students of Universiti Pendidikan Sultan Idris (UPSI), who had graduated in 2016. The results of this study showed the integration of AHP and TOPSIS was effective in ranking the ability of students based on their scores of strengths, indicating that 14 (23%) of the students were requirements collectors, 13 (22%) were designers, 5 (8%) were programmers, 13 (22%) were testers, and 15 (25%) were maintenance personnel. In conclusion, significant differences were observed between the groups’ scores for each level of SDLC, indicating that the ranking results were identical for all levels. The implication of this study is that lecturers gain the benefits by identify the strengths and weaknesses of their students such that they can provide better supervision. Likewise, benefits to students by determine their actual ability, allowing them to take the necessary measures to improve their learning performance.

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