Framework for evaluation and validation of software complexity measures

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Date

2012

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Publisher

inst Engineering Technology-iet

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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

This study proposes a framework for the evaluation and validation of software complexity measure. This framework is designed to analyse whether or not software metric qualifies as a measure from different perspectives. Unlike existing frameworks, it takes into account the practical usefulness of the measure and includes all the factors that are important for theoretical and empirical validation including measurement theory. The applicability of the framework is tested by using cognitive functional size measure. The testing process shows that in the same manner the proposed framework can be applied to any software measure. A comparative study with other frameworks has also been performed. The results reflect that the present framework is a better representation of most of the parameters that are required to evaluate and validate a new complexity measure.

Description

Misra, Sanjay/0000-0002-3556-9331; Colomo-Palacios, Ricardo/0000-0002-1555-9726

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Citation

24

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Source

Volume

6

Issue

4

Start Page

323

End Page

334

URI

https://doi.org/10.1049/iet-sen.2011.0206
 https://hdl.handle.net/20.500.14411/335

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