ARFF Public 2014-01-06T22:57:30Z https://www.openml.org/data/download/53942/ar1.arff active ar1 ar1 **Author**: **Source**: Unknown - Date unknown **Please cite**: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% This is a PROMISE Software Engineering Repository data set made publicly available in order to encourage repeatable, refutable, verifiable, and/or improvable predictive models of software engineering. If you publish material based on PROMISE data sets then, please follow the acknowledgment guidelines posted on the PROMISE repository web page http://promise.site.uottowa.ca/SERepository. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% --Title: AR1 /Software Defect Prediction --Date: February, 4th, 2009 --Data from a Turkish white-goods manufacturer --Donated by: Software Research Laboratory (Softlab), Bogazici University, Istanbul, Turkey --Website: http://softlab.boun.edu.tr --Contact address: ayse.tosun@boun.edu.tr, bener@boun.edu.tr --Description: Embedded software in a white-goods product. Implemented in C. Consists of 121 modules (9 defective / 112 defect-free) 29 static code attributes (McCabe, Halstead and LOC measures) and 1 defect information(false/true) Function/method level static code attributes are collected using Prest Metrics Extraction and Analysis Tool [1]. [1] Prest Metrics Extraction and Analysis Tool, available at http://softlab.boun.edu.tr/?q=resources&i=tools. public 756 1 8 2014-01-06T22:57:30Z 0 defects