1 |
Boetticher, G., Menzies, T., & Ostrand, T. J. (2007). "The PROMISE repository of empirical software engineering data "West Virginia University, Lane Department of Computer Science and Electrical Engineering.
|
2 |
http://www.cse.lehigh.edu/-gtan/bug/localCopies/nist Report.pdf
|
3 |
Barry Boehm, Software Engineering Economics, 1981, p. 40. of Prentice Hall, Inc., Englewood Cliffs, NJ
|
4 |
www.promisedata.org
|
5 |
T. Menzies, J. Greenwald, and A. Frank, "Data Mining Static Code Attributes to Learn Defect Predictors", IEEE Trans. Software Eng., vol. 33, no. 1, pp. 2-13, Jan. 2007
DOI
ScienceOn
|
6 |
S. Lessmann, B. Baesens, C. Mues, and S. Pietsch, "Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings," IEEE Trans. Software Eng., vol. 34, no. 4, pp. 485-496, July/Aug. 2008
DOI
ScienceOn
|
7 |
www.cs.waikato.ac.nz/-ml/weka/.
|
8 |
Shull F, Basili V, Boehm B, Brown A, Costa P, Lindvall M, et al. "What we have learned about fighting defect". In: Proceedings of 8th international software metrics symposium, Ottawa, Canada; 2002. p. 249-58.
|
9 |
Menzies T, Raffo D, on Setamanit S, Hu Y, Tootoonian S. "Model-based tests of truisms". In: Proceedings of IEEE ASE 2002.
|
10 |
Do-178b and mccabe iq. available in http://www.mccabe.com/iq_research_whitepapers.htm.
|
11 |
Fayyad, U.M., and Irani, K.B. (1993), "Multi Interval discretization of continuous-valued attributes for classification learning", in Proceeding of the 13th International Joint Conference on Artificial Intelli- gence, 1022-1027, Morgan Kauffmann
|
12 |
Quinlan, R.J., "C4.5: Programs for Machine Learning", Morgan Kaufman, 1993
|
13 |
Lee, S., "Noisy Replication in Skewed Binary Classification, Computational Statistics and Data Analysis," 34, 2000.
|
14 |
Kolcz, A. Chowdhury, and J. Alspector, Data duplication: "An imbalance problem"In Workshop on Learning from Imbalanced Data Sets" (ICML), 2003.
|
15 |
Niels Landwehr, Mark Hall, and Eibe Frank. "Logistic model trees". Machine Learning, 59(1-2):161-205, 2005.
DOI
|
16 |
Shatovskaya, T., Repka, V., & Good, A. (2006). "Application of the Bayesian Networks in the informational modeling". International conference: Modern problems of radio engineering, telecommunications, and computer science, international conference (p. 108). Lviv-Slavsko, Ukraine.
|
17 |
Singh, P.; Verma, S., "Empirical investigation of fault prediction capability of object oriented metrics of open source software," Computer Science and Software Engineering (JCSSE), 2012 International Joint Conference on, vol., no., pp. 323, 327, May 30 2012-June 1 2012
|
18 |
P. Singh and S. Verma, "An Investigation of the Effect of Discretization on Defect Prediction Using Static Measures", IEEE International Conference on Advances in Computing, Control, and Telecommunication Technologies (2009), pp. 837-839
|
19 |
P. Singh and S. Verma, "Effectiveness analysis of consistency based feature selection in Software fault Prediction", International Journal of Advancements in Computer Science & Information Technology, vol.02, no.1, pp. 01-09, 2012
|
20 |
Koru, A. G., & Liu, H. (2007). "Identifying and characterizing change-prone classes in two largescale open-source products". Journal of Systems and Software, 80(1), 63-73.
DOI
ScienceOn
|
21 |
Hall, Mark A Holmes, Geoffrey "Benchmarking Attribute Selection Techniques for Discrete Class Data Mining" IEEE Transactions on Software Engineering, 2003
|