Michelle Cartwright

发表

Ensemble imputation methods for missing software engineering data

Bhekisipho Twala, Michelle Cartwright, M. Cartwright, 2005, 11th IEEE International Software Metrics Symposium (METRICS'05).

A replication of the use of regression towards the mean (R2M) as an adjustment to effort estimation models

Michelle Cartwright, Martin J. Shepperd, M. Shepperd, 2005, 11th IEEE International Software Metrics Symposium (METRICS'05).

Predicting with Sparse Data

Michelle Cartwright, Martin J. Shepperd, 2001, IEEE Trans. Software Eng..

Software defect association mining and defect correction effort prediction

Qinbao Song, Carolyn Mair, Michelle Cartwright, 2006, IEEE Transactions on Software Engineering.

An empirical view of inheritance

Michelle Cartwright, M. Cartwright, 1998, Inf. Softw. Technol..

Ensemble missing data techniques for software effort prediction

Bhekisipho Twala, Michelle Cartwright, M. Cartwright, 2010, Intell. Data Anal..

Comparison of various methods for handling incomplete data in software engineering databases

Bhekisipho Twala, Michelle Cartwright, Martin J. Shepperd, 2005, 2005 International Symposium on Empirical Software Engineering, 2005..

Experiences Using Case-Based Reasoning to Predict Software Project Effort

Martin Shepperd, Michelle Cartwright, Gada F. Kadoda, 2000 .

Software defect association mining and defect correction effort prediction

Qinbao Song, Carolyn Mair, Martin Shepperd, 2006 .

Issues on the Effective Use of CBR Technology for Software Project Prediction

Michelle Cartwright, Martin J. Shepperd, Gada F. Kadoda, 2001, ICCBR.

Assessing the Quality and Cleaning of a Software Project Data Set: An Experience Report

Martin Shepperd, Michelle Cartwright, Bheki Twala, 2006, EASE.

Filtering, Robust Filtering, Polishing: Techniques for Addressing Quality in Software Data

Bhekisipho Twala, Michelle Cartwright, Martin J. Shepperd, 2007, First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007).

Ensemble of missing data techniques to improve software prediction accuracy

Bhekisipho Twala, Michelle Cartwright, Martin J. Shepperd, 2006, ICSE.

On Building Prediction Systems for Software Engineers

Michelle Cartwright, Martin J. Shepperd, Gada F. Kadoda, 2000, Empirical Software Engineering.

A Short Note on Safest Default Missingness Mechanism Assumptions

Qinbao Song, Michelle Cartwright, Martin J. Shepperd, 2004, Empirical Software Engineering.

Dealing with missing software project data

Qinbao Song, Michelle Cartwright, Martin J. Shepperd, 2003, Proceedings. 5th International Workshop on Enterprise Networking and Computing in Healthcare Industry (IEEE Cat. No.03EX717).

Book Review: Experimentation in Software Engineering: An Introduction. By Claes Wohlin, Per Runeson, Martin Höst, Magnus C. Ohlsson, Björn Regnell and Anders Wesslén. Kluwer Academic Publishers, 1999, ISBN 0-7923-8682-5

Michelle Cartwright, 2001, Softw. Test. Verification Reliab..

Predicting with sparse data

Michelle Cartwright, Martin J. Shepperd, M. Shepperd, 2001, Proceedings Seventh International Software Metrics Symposium.

Premark: A System Designed To Organising Course Work For Assessment

Martin Shepperd, Michelle Cartwright, Ambikesh Jayal, 2007 .

An Empirical Investigation of an Object-Oriented Software System

Michelle Cartwright, Martin J. Shepperd, M. Shepperd, 2000, IEEE Trans. Software Eng..

Meta-data to Guide Retrieval in CBR for Software Cost Prediction

Martin Shepperd, Rahul Premraj, Michelle Cartwright, 2003 .

On configuring a case-based reasoning software project prediction system

Martin Shepperd, Michelle Cartwright, Gada Kadoda, 2000 .