Beyond data mining

IEEE Software

Volumn 30, Issue 3, 2013, Pages

  Menzies, Tim ^a  

^a West Virginia University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE; SOFTWARE ENGINEERING;

CONFIGURATION OPTIONS; DATA ALGORITHM; DATA MINERS; INDUSTRIAL PRACTITIONERS; PREDICTIVE MODELING; PUBLISHING PAPERS; SOFTWARE PROJECT; STATE OF THE ART;

DATA MINING;

EID: 84897688884     PISSN: 07407459     EISSN: None     Source Type: Journal    
DOI: 10.1109/ms.2013.49     Document Type: Article

References (5)

1. K. Dejaeger et al., "Data Mining Techniques for Software Effort Estimation: A Comparative Study," IEEE Trans. Software Eng., vol. 28, no. 2, pp. 375-397.
2. T. Hall et al., "A Systematic Review of Fault Prediction Performance in Software Engineering," IEEE Trans. Software Eng., vol. 38, no. 6, pp. 1276-1304.
3. A. Brady and T. Menzies, "Case-Based Reasoning vs. Parametric Models for Software Quality Optimization," Proc. 6th Int'l Conf. Predictive Models in Software Eng. (PROMISE 10), ACM, 2010; http://doi.acm.org/10.1145/1868328.1868333.
4. T. Menzies and T. Zimmermann, "Goldfish Bowl Panel: Software Development Analytics," Proc. 2012 Int'l Conf. Software Eng. (ICSE 2012), IEEE, 2012, pp. 1032-1033.
5. T. Menzies et al., "Local vs. Global Lessons for Defect Prediction and Effort Estimation," IEEE Trans. Software Eng., preprint, published online Dec. 2012; http://goo.gl/k6qno.