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Displaying 1-5 out of 5 total
Data Quality: Some Comments on the NASA Software Defect Datasets
Found in: IEEE Transactions on Software Engineering
By Martin Shepperd,Qinbao Song,Zhongbin Sun,Carolyn Mair
Issue Date:September 2013
pp. 1208-1215
Background--Self-evidently empirical analyses rely upon the quality of their data. Likewise, replications rely upon accurate reporting and using the same rather than similar versions of datasets. In recent years, there has been much interest in using machi...
An Empirical Study of Software Project Managers Using a Case-Based Reasoner
Found in: Hawaii International Conference on System Sciences
By Carolyn Mair,Miriam Martincova,Martin Shepperd
Issue Date:January 2012
pp. 1030-1039
BACKGROUND -- whilst substantial effort has been invested in developing and evaluating knowledge-based techniques for project prediction, little is known about the interaction between them and expert users. OBJECTIVE -- the aim is to explore the interactio...
Software Defect Association Mining and Defect Correction Effort Prediction
Found in: IEEE Transactions on Software Engineering
By Qinbao Song, Martin Shepperd, Michelle Cartwright, Carolyn Mair
Issue Date:February 2006
pp. 69-82
Much current software defect prediction work focuses on the number of defects remaining in a software system. In this paper, we present association rule mining based methods to predict defect associations and defect correction effort. This is to help devel...
Using Grey Relational Analysis to Predict Software Effort with Small Data Sets
Found in: Software Metrics, IEEE International Symposium on
By Qinbao Song, Martin Shepperd, Carolyn Mair
Issue Date:September 2005
pp. 35
The inherent uncertainty of the software development process presents particular challenges for software effort prediction. We need to systematically address missing data values, feature subset selection and the continuous evolution of predictions as the p...
Human judgement and software metrics: vision for the future
Found in: Proceeding of the 2nd international workshop on Emerging trends in software metrics (WETSoM '11)
By Carolyn Mair, Martin Shepperd
Issue Date:May 2011
pp. 81-84
Background: There has been much research into building formal (metrics-based) prediction systems with the aim of improving resource estimation and planning of software projects. However the 'objectivity' of such systems is illusory in the sense that many i...