A decision matrix for optimize the ability of software engineering students

This research aimed to propose a decision matrix based on multi-criteria analysis to aiddecision-makers in optimizing the ability of software engineering students. In thisstudy, an experiment was conducted on the basis of several stages. First, decision matrixwas constructed to rank the ability of s...

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Main Author:	Alzghoul, Omar Mohammad Raji
Format:	thesis
Language:	eng
Published:	2019
Subjects:	LB Theory and practice of education
Online Access:	https://ir.upsi.edu.my/detailsg.php?det=6266
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record_format	uketd_dc
institution	Universiti Pendidikan Sultan Idris
collection	UPSI Digital Repository
language	eng
topic	LB Theory and practice of education
spellingShingle	LB Theory and practice of education Alzghoul, Omar Mohammad Raji A decision matrix for optimize the ability of software engineering students
description	This research aimed to propose a decision matrix based on multi-criteria analysis to aiddecision-makers in optimizing the ability of software engineering students. In thisstudy, an experiment was conducted on the basis of several stages. First, decision matrixwas constructed to rank the ability of software engineering students based on multimeasurementcriteria (Grade Point Average (GPA) and soft skills) and SoftwareDevelopment Life Cycle (SDLC) process levels as alternatives. Then, the constructeddecision matrix was adapted by distributing the courses of SDLC process levels basedon Software Engineering Body of Knowledge (SWEBOK) standard and expert opinionsusing Multi-Criteria Decision Making (MCDM) techniques based on AnalyticHierarchy Process (AHP) to weight the alternatives. Next, the ability of students wasranked based on the adapted decision matrix using the integrated AHP to weight themulti-measurement criteria, and Technique for Order Performance by Similarity toIdeal Solution (TOPSIS) was used to rank the alternatives. The data consisted of thegrades 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 ofAHP and TOPSIS was effective in ranking the ability of students based on their scoresof 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 observedbetween the groups scores for each level of SDLC, indicating that the ranking resultswere identical for all levels. The implication of this study is that lecturers gain thebenefits by identify the strengths and weaknesses of their students such that they canprovide better supervision. Likewise, benefits to students by determine their actualability, allowing them to take the necessary measures to improve their learningperformance.
format	thesis
qualification_name
qualification_level	Doctorate
author	Alzghoul, Omar Mohammad Raji
author_facet	Alzghoul, Omar Mohammad Raji
author_sort	Alzghoul, Omar Mohammad Raji
title	A decision matrix for optimize the ability of software engineering students
title_short	A decision matrix for optimize the ability of software engineering students
title_full	A decision matrix for optimize the ability of software engineering students
title_fullStr	A decision matrix for optimize the ability of software engineering students
title_full_unstemmed	A decision matrix for optimize the ability of software engineering students
title_sort	decision matrix for optimize the ability of software engineering students
granting_institution	Universiti Pendidikan Sultan Idris
granting_department	Fakulti Seni, Komputeran dan Industri Kreatif
publishDate	2019
url	https://ir.upsi.edu.my/detailsg.php?det=6266
_version_	1747833252942446592
spelling	oai:ir.upsi.edu.my:62662021-09-22 A decision matrix for optimize the ability of software engineering students 2019 Alzghoul, Omar Mohammad Raji LB Theory and practice of education This research aimed to propose a decision matrix based on multi-criteria analysis to aiddecision-makers in optimizing the ability of software engineering students. In thisstudy, an experiment was conducted on the basis of several stages. First, decision matrixwas constructed to rank the ability of software engineering students based on multimeasurementcriteria (Grade Point Average (GPA) and soft skills) and SoftwareDevelopment Life Cycle (SDLC) process levels as alternatives. Then, the constructeddecision matrix was adapted by distributing the courses of SDLC process levels basedon Software Engineering Body of Knowledge (SWEBOK) standard and expert opinionsusing Multi-Criteria Decision Making (MCDM) techniques based on AnalyticHierarchy Process (AHP) to weight the alternatives. Next, the ability of students wasranked based on the adapted decision matrix using the integrated AHP to weight themulti-measurement criteria, and Technique for Order Performance by Similarity toIdeal Solution (TOPSIS) was used to rank the alternatives. The data consisted of thegrades 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 ofAHP and TOPSIS was effective in ranking the ability of students based on their scoresof 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 observedbetween the groups scores for each level of SDLC, indicating that the ranking resultswere identical for all levels. The implication of this study is that lecturers gain thebenefits by identify the strengths and weaknesses of their students such that they canprovide better supervision. Likewise, benefits to students by determine their actualability, allowing them to take the necessary measures to improve their learningperformance. 2019 thesis https://ir.upsi.edu.my/detailsg.php?det=6266 https://ir.upsi.edu.my/detailsg.php?det=6266 text eng closedAccess Doctoral Universiti Pendidikan Sultan Idris Fakulti Seni, Komputeran dan Industri Kreatif Abdeljaber, H. A., & Ahmad, S. (2017). Program Outcomes Assessment Method forMulti-Academic Accreditation Bodies: Computer Science Program as a Case Study. InternationalJournal of Emerging Technologies in Learning, 12(5).Abdullah, S. A., Yaakub, A., & Wahil, Z. (2015). Evaluating Students Need in Using Computer AidedSoftware in Landscape Design Course. Procedia-Social and Behavioral Sciences, 195, 828-836.Abdullateef, B. N., Elias, N. 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