-
1
-
-
71649110371
-
A systematic and comprehensive investigation of methods to build and evaluate fault prediction models
-
Arisholm, E., Briand, L., Johannessen, B.: A systematic and comprehensive investigation of methods to build and evaluate fault prediction models. Journal of Systems and Software 83, (2010), 2-17.
-
(2010)
Journal of Systems and Software
, vol.83
, pp. 2-17
-
-
Arisholm, E.1
Briand, L.2
Johannessen, B.3
-
3
-
-
0035478854
-
Random Forests
-
Breiman, L.: Random Forests. Machine Learning 45 (1), (2001), 5-32.
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
4
-
-
78649803942
-
How Effective is Tabu Search to Configure Support Vector Regression for Effort Estimation?
-
ACM NY
-
Corazza, A., Di Martino, S., Ferrucci, F., Gravino, C., Sarro, F., Mendes, E.: How Effective is Tabu Search to Configure Support Vector Regression for Effort Estimation?. In PROMISE Procs, ACM NY, (2010), 4.
-
(2010)
PROMISE Procs
, pp. 4
-
-
Corazza, A.1
Di Martino, S.2
Ferrucci, F.3
Gravino, C.4
Sarro, F.5
Mendes, E.6
-
6
-
-
0028446078
-
A metrics suite for object oriented design
-
Chidamber, S.R., Kemerer, C. F.: A metrics suite for object oriented design. IEEE TSE, 20(6), (1994), 476-493.
-
(1994)
IEEE TSE
, vol.20
, Issue.6
, pp. 476-493
-
-
Chidamber, S.R.1
Kemerer, C.F.2
-
7
-
-
79960238138
-
A Genetic Algorithm to Configure Support Vector Machines for Predicting Fault-Prone Components
-
PROFES Procs, Springer
-
Di Martino, S., Ferrucci, F., Gravino, C., Sarro: A Genetic Algorithm to Configure Support Vector Machines for Predicting Fault-Prone Components. In PROFES Procs, LNCS Springer vol. 6759, (2011), 186-201.
-
(2011)
LNCS
, vol.6759
, pp. 186-201
-
-
Di Martino, S.1
Ferrucci, F.2
Gravino, C.3
Sarro4
-
8
-
-
40749135790
-
Predicting defect-prone software modules using support vector machines
-
DOI 10.1016/j.jss.2007.07.040, PII S016412120700235X
-
Elish, K.O., Elish, M.O.: Predicting defect-prone software modules using support vector machines. Journal of Systems and Software 81(5), (2008), 649-660. (Pubitemid 351389562)
-
(2008)
Journal of Systems and Software
, vol.81
, Issue.5
, pp. 649-660
-
-
Elish, K.O.1
Elish, M.O.2
-
10
-
-
36849025506
-
Applying machine learning to software fault-proneness prediction
-
Gondra, I.: Applying machine learning to software fault-proneness prediction. Journal of Systems and Software 81 (2008), 186-195.
-
(2008)
Journal of Systems and Software
, vol.81
, pp. 186-195
-
-
Gondra, I.1
-
11
-
-
78049356206
-
Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics
-
Gray, D., Bowes, D., Davey, N., Sun, Y., Christianson, B.: Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics. Communications in Computer and Information Science, 43 (2009), 223-234.
-
(2009)
Communications in Computer and Information Science
, vol.43
, pp. 223-234
-
-
Gray, D.1
Bowes, D.2
Davey, N.3
Sun, Y.4
Christianson, B.5
-
12
-
-
76749092270
-
The WEKA Data Mining Software: An Update
-
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I. H.: The WEKA Data Mining Software: An Update. SIGKDD Explorations, 11(1), (2009).
-
(2009)
SIGKDD Explorations
, vol.11
, Issue.1
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
13
-
-
78649783178
-
Towards identifying software project clusters with regard to defect prediction
-
ACM NY
-
Jureczko, M, Madeyski, L.: Towards identifying software project clusters with regard to defect prediction. In the PROMISE Procs., ACM NY, (2010), 9.
-
(2010)
The PROMISE Procs.
, pp. 9
-
-
Jureczko, M.1
Madeyski, L.2
-
14
-
-
0029343450
-
Case studies for method and tool evaluation
-
Kitchenham, B., Pickard, L., Peeger, S.: Case studies for method and tool evaluation. IEEE Software 12(4), (1995), 52-62.
-
(1995)
IEEE Software
, vol.12
, Issue.4
, pp. 52-62
-
-
Kitchenham, B.1
Pickard, L.2
Peeger, S.3
-
15
-
-
36749047332
-
Supervised Machine Learning: A Review of Classification Techniques
-
Kotsiantis, S. B.: Supervised Machine Learning: A Review of Classification Techniques. Informatica 31 (2007) 249-268
-
(2007)
Informatica
, vol.31
, pp. 249-268
-
-
Kotsiantis, S.B.1
-
20
-
-
57049118679
-
Adapting a Fault Prediction Model to Allow Inter Language Reuse
-
ACM NY
-
Watanabe, S., Kaiya, H., Kaijiri, K.: Adapting a Fault Prediction Model to Allow Inter Language Reuse. In the PROMISE Procs, ACM NY, (2008), 19-24.
-
(2008)
The PROMISE Procs
, pp. 19-24
-
-
Watanabe, S.1
Kaiya, H.2
Kaijiri, K.3
|