-
2
-
-
33644660383
-
Optimal project feature weights in analogy based cost estimation: improvement and limitations
-
Auer M., Trendowicz A., Graser B., Haunschmid E., and Biffl S. Optimal project feature weights in analogy based cost estimation: improvement and limitations. IEEE Transactions on Software Engineering 32 2 (2006) 83-92
-
(2006)
IEEE Transactions on Software Engineering
, vol.32
, Issue.2
, pp. 83-92
-
-
Auer, M.1
Trendowicz, A.2
Graser, B.3
Haunschmid, E.4
Biffl, S.5
-
3
-
-
0036041149
-
-
V. Basili, F. McGarry, R. Pajerski, M. Zelkowitz, Lessons learned from 25 years of process improvement: the rise and fall of the nasa software engineering laboratory, in: Proceedings of the 24th International Conference on Software Engineering (ICSE) 2002, Orlando, Florida, 2002.
-
V. Basili, F. McGarry, R. Pajerski, M. Zelkowitz, Lessons learned from 25 years of process improvement: the rise and fall of the nasa software engineering laboratory, in: Proceedings of the 24th International Conference on Software Engineering (ICSE) 2002, Orlando, Florida, 2002.
-
-
-
-
4
-
-
0031269184
-
On the optimality of the simple bayesian classifier under zero-one loss
-
Domingos P., and Pazzani M. On the optimality of the simple bayesian classifier under zero-one loss. Machine Learning 29 2-3 (1997) 103-130
-
(1997)
Machine Learning
, vol.29
, Issue.2-3
, pp. 103-130
-
-
Domingos, P.1
Pazzani, M.2
-
5
-
-
57649202419
-
-
E. Frank, M. Hall, B. Pfahringer, Locally weighted naive Bayes, in: Proceedings of the Uncertainty in Artificial Intelligence Conference, Acapulco, Mexico, Morgan Kaufmann, 2003, pp. 249-256.
-
E. Frank, M. Hall, B. Pfahringer, Locally weighted naive Bayes, in: Proceedings of the Uncertainty in Artificial Intelligence Conference, Acapulco, Mexico, Morgan Kaufmann, 2003, pp. 249-256.
-
-
-
-
6
-
-
33847166276
-
A decision tree-based attribute weighting filter for naive Bayes
-
Hall M. A decision tree-based attribute weighting filter for naive Bayes. Knowledge-Based Systems 20 2 (2007) 120-126
-
(2007)
Knowledge-Based Systems
, vol.20
, Issue.2
, pp. 120-126
-
-
Hall, M.1
-
9
-
-
0042767590
-
Fault prediction modeling for software quality estimation: comparing commonly used techniques
-
Khoshgoftaar T.M., and Seliya N. Fault prediction modeling for software quality estimation: comparing commonly used techniques. Empirical Software Engineering 8 3 (2003) 255-283
-
(2003)
Empirical Software Engineering
, vol.8
, Issue.3
, pp. 255-283
-
-
Khoshgoftaar, T.M.1
Seliya, N.2
-
10
-
-
84957069091
-
Naive (Bayes) at Forty: the independence assumption in information retrieval
-
Proceedings of the 10th European Conference on Machine Learning. Nedellec C., and Rouveirol C. (Eds), Springer-Verlag, London
-
Lewis D.D. Naive (Bayes) at Forty: the independence assumption in information retrieval. In: Nedellec C., and Rouveirol C. (Eds). Proceedings of the 10th European Conference on Machine Learning. Lecture Notes in Computer Science vol. 1398 (1998), Springer-Verlag, London 4-15
-
(1998)
Lecture Notes in Computer Science
, vol.1398
, pp. 4-15
-
-
Lewis, D.D.1
-
11
-
-
57349192830
-
-
J. Lung, J. Aranda, S.M. Easterbrook, G.V. Wilson, On the difficulty of replicating human subjects studies in software engineering, in: Proceedings of the 30th International Conference on Software Engineering, 2008, pp. 191-200.
-
J. Lung, J. Aranda, S.M. Easterbrook, G.V. Wilson, On the difficulty of replicating human subjects studies in software engineering, in: Proceedings of the 30th International Conference on Software Engineering, 2008, pp. 191-200.
-
-
-
-
14
-
-
34548245485
-
Problems with precision: a response to comments on data mining static code attributes to learn defect predictors
-
Menzies T., Dekhtyar A., Distefano J., and Greenwald J. Problems with precision: a response to comments on data mining static code attributes to learn defect predictors. IEEE Transactions on Software Engineering 33 9 (2007) 637-640
-
(2007)
IEEE Transactions on Software Engineering
, vol.33
, Issue.9
, pp. 637-640
-
-
Menzies, T.1
Dekhtyar, A.2
Distefano, J.3
Greenwald, J.4
-
15
-
-
0002551285
-
Feature selection for unbalanced class distribution and Naive Bayes
-
Bratko I., and Dzeroski S. (Eds), Morgan Kaufmann Publishers, San Francisco, CA
-
Mladenic D., and Grobelnik M. Feature selection for unbalanced class distribution and Naive Bayes. In: Bratko I., and Dzeroski S. (Eds). Proceedings of the Sixteenth International Conference on Machine Learning (1999), Morgan Kaufmann Publishers, San Francisco, CA 258-267
-
(1999)
Proceedings of the Sixteenth International Conference on Machine Learning
, pp. 258-267
-
-
Mladenic, D.1
Grobelnik, M.2
-
16
-
-
46449134714
-
Regression modelling of software quality: empirical investigation
-
Munson J., and Khoshgoftaar T.M. Regression modelling of software quality: empirical investigation. Journal of Electronic Materials 19 6 (1990) 106-114
-
(1990)
Journal of Electronic Materials
, vol.19
, Issue.6
, pp. 106-114
-
-
Munson, J.1
Khoshgoftaar, T.M.2
-
18
-
-
57649167287
-
-
Nasa/Wvu IV&V Facility, Metrics Data Program, 2007. Available from: (Internet, accessed 2007).
-
Nasa/Wvu IV&V Facility, Metrics Data Program, 2007. Available from: (Internet, accessed 2007).
-
-
-
-
19
-
-
48649106337
-
-
A.D. Oral, A. Bener, Defect prediction for embedded software, in: Proceedings of the 22nd International Symposium on Computer and Information Sciences, 2007, pp. 1-6.
-
A.D. Oral, A. Bener, Defect prediction for embedded software, in: Proceedings of the 22nd International Symposium on Computer and Information Sciences, 2007, pp. 1-6.
-
-
-
-
22
-
-
33644657610
-
Software defect association mining and defect correction effort prediction
-
Song O., Shepperd M., Cartwright M., and Mair C. Software defect association mining and defect correction effort prediction. IEEE Transactions on Software Engineering 32 2 (2006) 69-82
-
(2006)
IEEE Transactions on Software Engineering
, vol.32
, Issue.2
, pp. 69-82
-
-
Song, O.1
Shepperd, M.2
Cartwright, M.3
Mair, C.4
-
23
-
-
0035170677
-
-
B.V. Tahat, B. Korel, A. Bader, Requirement-based automated black-box test generation, in: Proceedings of the 25th Annual International Computer Software and Applications Conference, Chicago, Illinois, 2001, pp. 489-495.
-
B.V. Tahat, B. Korel, A. Bader, Requirement-based automated black-box test generation, in: Proceedings of the 25th Annual International Computer Software and Applications Conference, Chicago, Illinois, 2001, pp. 489-495.
-
-
-
-
24
-
-
46449116712
-
-
B. Turhan, A. Bener, Software defect prediction: heuristics for weighted Naive Bayes, in: Proceedings of the 7th International Conference on Quality Software, 2007, pp. 231-237.
-
B. Turhan, A. Bener, Software defect prediction: heuristics for weighted Naive Bayes, in: Proceedings of the 7th International Conference on Quality Software, 2007, pp. 231-237.
-
-
-
-
25
-
-
84875426543
-
-
B. Turhan, A. Bener, Weighted static code attributes for software defect prediction, in: Proceedings of the 20th International Conference on Software Engineering and Knowledge Engineering, 2008, pp.143-148.
-
B. Turhan, A. Bener, Weighted static code attributes for software defect prediction, in: Proceedings of the 20th International Conference on Software Engineering and Knowledge Engineering, 2008, pp.143-148.
-
-
-
-
26
-
-
57049185645
-
-
B. Turhan, A. Bener, A multivariate analysis of static code attributes for defect prediction, in: Proceedings of the 2nd International Conference on Software and Data Technologies, 2007, pp. 244-249.
-
B. Turhan, A. Bener, A multivariate analysis of static code attributes for defect prediction, in: Proceedings of the 2nd International Conference on Software and Data Technologies, 2007, pp. 244-249.
-
-
-
-
27
-
-
19544366243
-
-
H. Zhang, S. Sheng, Learning weighted naive Bayes with accurate ranking, in: Proceedings of the 4th IEEE International Conference on Data Mining, 2004, pp. 567-570.
-
H. Zhang, S. Sheng, Learning weighted naive Bayes with accurate ranking, in: Proceedings of the 4th IEEE International Conference on Data Mining, 2004, pp. 567-570.
-
-
-
-
28
-
-
34548253429
-
Comments on 'data mining static code attributes to learn defect predictors'
-
Zhang H., and Zhang X. Comments on 'data mining static code attributes to learn defect predictors'. IEEE Transactions on Software Engineering 33 9 (2007) 635-636
-
(2007)
IEEE Transactions on Software Engineering
, vol.33
, Issue.9
, pp. 635-636
-
-
Zhang, H.1
Zhang, X.2
-
29
-
-
0034301677
-
Lazy learning of Bayesian rules
-
Zheng Z., and Webb G.I. Lazy learning of Bayesian rules. Machine Learning 41 1 (2000) 53-84
-
(2000)
Machine Learning
, vol.41
, Issue.1
, pp. 53-84
-
-
Zheng, Z.1
Webb, G.I.2
|