Database Reference
In-Depth Information
6. Chung H and P. Gray, Current Issues in Data Mining Journal of Management Information
Systems, forthcoming
7. Gerardo B., J. Lee, Y. Choi and M. Lee, “ The K-Means Clustering Architecture in the
Multi-Stage Data Mining Process” , ICCSA 2005, LNCS 3481, pg 71-81,2005.
8. Han J., and M. Kamber, “ Data mining: concepts and techniques” , Morgan Kaufmann
Publishers, 2001.
9. Khoshgoftar T. and E. Allen, “Predicting Fault-Prone Software Modules in Embedded
Systems with Classification Trees”, International Journal of Reliability, Quality and Safety
Engineering, 7(4), 2004.
10. Last M., M. Friedman and A. Kendal, Using Data Mining for Automated Software Testing,
IJSEKE, Vol 14. Issue 4., 2004.
11. Michail A Data mining library reuse patterns using generalized association rules In
International Conference on Software Engineering (2000), pp. 167-176.
12. Miller R. and A Gujarathi Mining for program structure IJSEKE, vol 9, No 5 (1999) 499-517
13. Mitkas P., “Knowledge Discovery for Training Intelligent Agents: Methodology, Tools
and Applications”, AIS-ADM 2005, LNAI 3505, pp 2-18, 2005.
14. Morisio M., M. Ezran and C. Tully (2003) Comments on 'More Success and Failure
Factors in Software Reuse” , IEEE trans on SE, Vol 29, Issue 5. pg 478, 2003.
15. Nakkrasae S.and P. Sophatsathit, An Rpcl-Based Indexing Approach for SoftwareComponent
Classification, IJSEKE, Vol 14, Issue 5. pg.497-518, 2004
16. Pendharkar P. An exploratory study of object-oriented software component size determinants
and the application of regression tree forecasting models. Information & Management 42
(2004) 61-73.
17. Shirabad J., T. Lethbridge and S Matwin Applying data mining to software maintenance
records In Proceedings of the 2003 conference of the Centre for Advanced Studies on
Collaborative research.
18. Sunderhaft, N and Medonca. M. Mining Software Engineering Data: A Survey, A DACS
state of the art report prepared for air-force Research Laboratory - Rome, NY, 1999.
19. Xu Z., Allen E.B., Prediction of Software Faults using Fuzzy Nonlinear Regression
Modeling, In 5 th IEEE International Symposium on High Assurance Systems Engineering,
Nov, 2000, NewMaxico, pp 281-290.
20. Ying A., G. Murphy, R. Ng and C. Carroll. Predicting Source Code Changes by Mining
Change History, IJSEKE, Vol 30. Issue 9. pg. 574-590, 2004.
21. (eds) Dia H and Webb G. IJSEKE, special issue: Best Papers from SEKE 2003 Workshop
on Data Mining for Software Engineering and Knowledge Engineering, Vol 14, No 4,
August 2004.
22. The Systems Development Life Cycle Guidance Document. [Accessed 21/6/2005]
Available online at: http://www.usdoj.gov/jmd/irm/lifecycle/table.htm
 
Search WWH ::




Custom Search