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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), DOAJ, Electronic Journals Library, Engineering & Technology Digital Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Editor-in-chief
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2015 Vol.3(1): 22-25 IS4SN: 2301-3559
DOI: 10.7763/LNSE.2015.V3.158

Metric’s Thresholds for Encoding Evolutionary Computing Representation in Software Engineering Problem

Abubakar D. Bakar, Abu Bakar Md. Sultan, Hazura Zulzalil, and Jamilah Din
Abstract—Recently, evolutionary computing is gaining more interest from software engineering community for using it to solve various types of related problems. The software metrics selection problem is among the problems implemented using this technique. For the problem to be implemented using this method, the initial process called representation should be established. Currently, the conversion of the problem into binary representation is done using human experts. However, experts’ opinions in categorizing the defect and non-defect prone classes into bits are always questionable due to human weakness. This paper presents metrics thresholds encoding algorithm as an alternative to replace human experts in developing problem representation. Algorithm was tested to metric selection problem using Genetic Algorithm and the results obtained are promising. 

Index Terms—Genetic algorithm, software metrics, software metrics thresholds, evolutionary computation, and representation.

Abubakar D. Bakar, Abu Bakar Md. Sultan, Hazura Zulzalil, and Jamilah Din are with the System Department, Faculty of Computer Science and Information Technology, University Putra Malaysia, 43400 Serdang, Selangor, Malaysia (e-mail: abakar@upm.edu.my).

[PDF]

Cite: Abubakar D. Bakar, Abu Bakar Md. Sultan, Hazura Zulzalil, and Jamilah Din, "Metric’s Thresholds for Encoding Evolutionary Computing Representation in Software Engineering Problem," Lecture Notes on Software Engineering vol. 3, no. 1, pp. 22-25, 2015.

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