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Author Turhan, Burak ♦ Kutlubay, Onur
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Software Data ♦ Software Development Process ♦ Effort Estimation ♦ Data Mining Technique ♦ Several Metric ♦ Quality Assessment ♦ Current Research Challenge ♦ Several Discipline ♦ Machine Learning Method ♦ Final Software Product ♦ Data Mining ♦ Software Cost ♦ Software Quality ♦ Machine Learning Application
Abstract Data mining techniques and machine learning methods are commonly used in several disciplines. It is possible that they could also provide a basis for quality assessment of software development processes and the final software product. Number of researches who employ such techniques and methods on software cost and effort estimation are increasing. This article provides a software quality perspective on data mining and machine learning applications, and explains the current research challenges that are related to incorporating these tools based on several metrics derived from the software development processes and the software itself. 1.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article