Measuring Complexity of Object Oriented Programs

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2008

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Computer Engineering
(1998)
The Atılım University Department of Computer Engineering was founded in 1998. The department curriculum is prepared in a way that meets the demands for knowledge and skills after graduation, and is subject to periodical reviews and updates in line with international standards. Our Department offers education in many fields of expertise, such as software development, hardware systems, data structures, computer networks, artificial intelligence, machine learning, image processing, natural language processing, object based design, information security, and cloud computing. The education offered by our department is based on practical approaches, with modern laboratories, projects and internship programs. The undergraduate program at our department was accredited in 2014 by the Association of Evaluation and Accreditation of Engineering Programs (MÜDEK) and was granted the label EUR-ACE, valid through Europe. In addition to the undergraduate program, our department offers thesis or non-thesis graduate degree programs (MS).

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Abstract

In this paper, a metric for object oriented language is formulated and validated. On the contrary of the other metrics used for object oriented programming (OOPs), the proposed metric calculates the complexity of a class at method level and hence considers the internal architecture of the classes, subclasses and member functions. The proposed metric is evaluated against Weyuker's proposed set of measurement principles through examples and validated through experimentation, case study and comparative study with similar measures. The practical usefulness of the metric is evaluated by a practical framework. © 2008 Springer-Verlag Berlin Heidelberg.

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University of Perugia; University of Calgary; Innovative Computational Science Applications (ICSA); MASTER-UP; University of Calgary, SPARCS Laboratory; OptimaNumerics

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Cognitive weights, Method complexity, Object oriented programming (OOP), Software metrics, Validation

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -- International Conference on Computational Science and Its Applications, ICCSA 2008 -- 30 June 2008 through 3 July 2008 -- Perugia -- 73953

Volume

5073 LNCS

Issue

PART 2

Start Page

652

End Page

667

URI

https://doi.org/10.1007/978-3-540-69848-7_53
 https://hdl.handle.net/20.500.14411/3590

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