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Type :thesis
Subject :QA Mathematics
Main Author :Fayiz Mohad Said Hamed Momani
Title :A selection framework for software programmer applicants based on multi-criteria analysis
Place of Production :Tanjong Malim
Publisher :Fakulti Seni, Komputeran dan Industri Kreatif
Year of Publication :2019
Corporate Name :Universiti Pendidikan Sultan Idris
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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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