Extensible Model for Comparison of Expressiveness of Object-Oriented Programming Languages

Batdalov, Ruslan; Nikiforova, Oksana; Giurca, Adrian

doi:10.1515/acss-2016-0012

Cited by 4 publications

(1 citation statement)

References 12 publications

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“…Batdalov et al used a questionnaire instead of a numerical method in their study so they have created a list of criteria taking into consideration the functional aspects of object oriented programming languages. For this purpose, they aimed to determine the most appropriate object‐oriented programming language by evaluating the criteria under different headings according to developed questionnaire.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi‐criteria decision making approach for evaluation of the performance of computer programming languages in higher education

Yıldızbaşı

Rouyendegh

2018

Comp Applic In Engineering

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Computer Programming Languages are various languages used for developing a sequence of instructions and/or proofing errors, which language designers often overlook. Consequently, with the degree of fast moving life and improving technology, programming packages have been increasing. Choosing an appropriate language is a complex task and also many factors must be considered. While selecting educational software and its technical characteristics, reducing the time and effort needed in the learning process have to be considered. Evaluation of CPLs are inevitable in decision making. Multi‐criteria decision making helps for evaluating and comparing alternatives with respect to criteria. Therefore, in this article the fundamental attributes of programming languages, utilizing and steps of the TOPSIS are discussed. For evaluating the performance of some traditional CPLs in higher education on regarding seven criteria, we have constructed a function in Mathematica (a scientific computing package) that implements the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a well‐known multi‐criteria decision method. Also, another contribution of this study is comparing TOPSIS methods results with AHP methods results.

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Section: Literature Reviewmentioning

confidence: 99%