Year |
Citation |
Score |
2015 |
Gao K, Khoshgoftaar TM, Napolitano A. An Empirical Investigation of Combining Filter-Based Feature Subset Selection and Data Sampling for Software Defect Prediction International Journal of Reliability, Quality and Safety Engineering. 22: 1550027. DOI: 10.1142/S0218539315500278 |
0.798 |
|
2015 |
Khoshgoftaar TM, Gao K, Chen Y, Napolitano A. Comparing Feature Selection Techniques for Software Quality Estimation Using Data-Sampling-Based Boosting Algorithms International Journal of Reliability, Quality and Safety Engineering. 22: 1550013. DOI: 10.1142/S0218539315500138 |
0.803 |
|
2015 |
Gao K, Khoshgoftaar TM. Assessments of feature selection techniques with respect to data sampling for highly imbalanced software measurement data International Journal of Reliability, Quality and Safety Engineering. 22. DOI: 10.1142/S0218539315500102 |
0.737 |
|
2015 |
Gao K, Khoshgoftaar TM, Napolitano A. Aggregating Data Sampling with Feature Subset Selection to Address Skewed Software Defect Data International Journal of Software Engineering and Knowledge Engineering. 25: 1531-1550. DOI: 10.1142/S0218194015400318 |
0.792 |
|
2015 |
Gao K, Khoshgoftaar TM, Napolitano A. Investigating two approaches for adding feature ranking to sampled ensemble learning for software quality estimation International Journal of Software Engineering and Knowledge Engineering. 25: 115-146. DOI: 10.1142/S0218194015400069 |
0.801 |
|
2014 |
Gao K, Khoshgoftaar TM, Wald R. The use of under- and oversampling within ensemble feature selection and classification for software quality prediction International Journal of Reliability, Quality and Safety Engineering. 21. DOI: 10.1142/S0218539314500041 |
0.824 |
|
2014 |
Gao K, Khoshgoftaar TM, Napolitano A. The Use of Ensemble-Based Data Preprocessing Techniques for Software Defect Prediction International Journal of Software Engineering and Knowledge Engineering. 24: 1229-1253. DOI: 10.1142/S0218194014400105 |
0.806 |
|
2014 |
Khoshgoftaar TM, Xiao Y, Gao K. Software quality assessment using a multi-strategy classifier Information Sciences. 259: 555-570. DOI: 10.1016/J.Ins.2010.11.028 |
0.749 |
|
2014 |
Xu Z, Gao K, Khoshgoftaar TM, Seliya N. System regression test planning with a fuzzy expert system Information Sciences. 259: 532-543. DOI: 10.1016/J.Ins.2010.09.012 |
0.735 |
|
2013 |
Khoshgoftaar TM, Gao K, Napolitano A, Wald R. A comparative study of iterative and non-iterative feature selection techniques for software defect prediction Information Systems Frontiers. 16: 801-822. DOI: 10.1007/S10796-013-9430-0 |
0.79 |
|
2012 |
Gao K, Khoshgoftaar TM, Wang H. Exploring filter-based feature selection techniques for software quality classification International Journal of Information and Decision Sciences. 4: 217-250. DOI: 10.1504/Ijids.2012.047074 |
0.742 |
|
2012 |
KHOSHGOFTAAR TM, GAO K, NAPOLITANO A. AN EMPIRICAL STUDY OF FEATURE RANKING TECHNIQUES FOR SOFTWARE QUALITY PREDICTION International Journal of Software Engineering and Knowledge Engineering. 22: 161-183. DOI: 10.1142/S0218194012400013 |
0.79 |
|
2012 |
Gao K, Khoshgoftaar TM, Seliya N. Predicting high-risk program modules by selecting the right software measurements Software Quality Journal. 20: 3-42. DOI: 10.1007/S11219-011-9132-0 |
0.806 |
|
2011 |
Khoshgoftaar TM, Gao K, Bullard LA. A Comparative study of filter-based and wrapper-based feature ranking techniques for software quality modeling International Journal of Reliability, Quality and Safety Engineering. 18: 341-364. DOI: 10.1142/S0218539311004287 |
0.816 |
|
2011 |
Wang H, Khoshgoftaar TM, Van Hulse J, Gao K. Metric selection for software defect prediction International Journal of Software Engineering and Knowledge Engineering. 21: 237-257. DOI: 10.1142/S0218194011005256 |
0.805 |
|
2011 |
Gao K, Khoshgoftaar TM, Wang H, Seliya N. Choosing software metrics for defect prediction: An investigation on feature selection techniques Software - Practice and Experience. 41: 579-606. DOI: 10.1002/Spe.1043 |
0.829 |
|
2010 |
Altidor W, Khoshgoftaar TM, Gao K. Wrapper-based feature ranking techniques for determining relevance of software engineering metrics International Journal of Reliability, Quality and Safety Engineering. 17: 425-464. DOI: 10.1142/S0218539310003883 |
0.794 |
|
2009 |
Khoshgoftaar TM, Bullard LA, Gao K. Attribute selection using rough sets in software quality classification International Journal of Reliability, Quality and Safety Engineering. 16: 73-89. DOI: 10.1142/S0218539309003307 |
0.808 |
|
2008 |
Khoshgoftaar TM, Bullard LA, Gao K. A rule-based software quality classification model International Journal of Reliability, Quality and Safety Engineering. 15: 247-259. DOI: 10.1142/S0218539308003064 |
0.8 |
|
2006 |
Khoshgoftaar TM, Gao K, Lin H. Indirect classification approaches: A comparative study in network intrusion detection International Journal of Computer Applications in Technology. 27: 232-245. DOI: 10.1504/Ijcat.2006.011995 |
0.632 |
|
2005 |
Khoshgoftaar TM, Gao K, Szabo RM. Comparing software fault predictions of pure and zero-inflated Poisson regression models International Journal of Systems Science. 36: 705-715. DOI: 10.1080/00207720500159995 |
0.654 |
|
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