Mapping Software Metrics to Module Complexity: A Pattern Classification Approach

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ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.org/journal/jsea
E-mail: jsea@scirp.org

"Mapping Software Metrics to Module Complexity: A Pattern Classification Approach"
written by Nick John Pizzi,
published by Journal of Software Engineering and Applications, Vol.4 No.7, 2011

has been cited by the following article(s):

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[1]	Predicting Code Hotspots in Open-Source Software from Object-Oriented Metrics Using Machine Learning International Journal of Software Engineering and Knowledge Engineering, 2018 DOI:10.1142/S0218194018500110

[2]	The software emergent properties and them reflection in the non-functional requirements and quality models 2015 Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT), 2015 DOI:10.1109/STC-CSIT.2015.7325454

[3]	The way to detection of software emergent properties 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2015 DOI:10.1109/IDAACS.2015.7341409

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