UPSI Digital Repository (UDRep)
|Abstract : Universiti Pendidikan Sultan Idris|
|This research aimed to propose a framework based on the multi-criteria analysis to aid
decision-makers in selecting suitable software programmer applicants. In this study, an experiment
was conducted on the basis of several stages. First, decision matrix was proposed for selecting
suitable programming applicants based on multi-measurement criteria (structured programming,
object-oriented programming, data structure, database system, and courseware engineering),
with each criterion comprising two sub- criteria (GPA and Soft skills). In addition, a
number of alternatives were generated based on the intersection of the criteria of the
applicants. Then, the proposed decision matrix was developed by distributing the courses based on
the Software Engineering Body of Knowledge (SWEBOK) standard and expert opinions.
Subsequently, the ranking of the applicants was performed by the developed decision matrix using
Multi- Criteria Decision Making (MCDM) techniques, namely the integrated Analytic
Hierarchy Process (AHP), to weight the multi-measurement criteria, and the Technique for Order
Preference by Similarity to Ideal Solution (TOPSIS) was used to rank the alternatives. Data
consisting of five main courses as the required criteria were collected from 60 software
engineering students, who had graduated from Universiti Pendidikan Sultan Idris (UPSI) in 2016. The
research findings showed that the integration of Multi- Layer AHP and Group-TOPSIS was effective in
solving the problems associated with the selection of applicants, as evidenced by the systematic
ranking of the 60 students. In conclusion, the internal and external aggregations of Group-TOPSIS
used in different contexts were able to generate the results of students ranking that
were similar. Furthermore, the validated ranking results showed four groups of students have been
equally and systematically ranked. The implication of the study is that the programmer could use
such a novel framework to improve the quality of software and to reduce the
time and cost in the selection process of applicants.
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