 | 2012 |
| 34 |  | Kehan Gao,
Taghi M. Khoshgoftaar,
Naeem Seliya:
Predicting high-risk program modules by selecting the right software measurements.
Software Quality Journal 20(1): 3-42 (2012) |
| 2011 |
| 33 |  | Kehan Gao,
Taghi M. Khoshgoftaar,
Amri Napolitano:
Impact of Data Sampling on Stability of Feature Selection for Software Measurement Data.
ICTAI 2011: 1004-1011 |
| 32 |  | Taghi M. Khoshgoftaar,
Kehan Gao,
Amri Napolitano:
A Comparative Study of Different Strategies for Predicting Software Quality.
SEKE 2011: 65-70 |
| 31 |  | Kehan Gao,
Taghi M. Khoshgoftaar:
Software Defect Prediction for High-Dimensional and Class-Imbalanced Data.
SEKE 2011: 89-94 |
| 30 |  | Huanjing Wang,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Kehan Gao:
Metric Selection for Software Defect Prediction.
International Journal of Software Engineering and Knowledge Engineering 21(2): 237-257 (2011) |
| 29 |  | Kehan Gao,
Taghi M. Khoshgoftaar,
Huanjing Wang,
Naeem Seliya:
Choosing software metrics for defect prediction: an investigation on feature selection techniques.
Softw., Pract. Exper. 41(5): 579-606 (2011) |
| 2010 |
| 28 |  | Kehan Gao,
Taghi M. Khoshgoftaar,
Jason Van Hulse:
An Evaluation of Sampling on Filter-Based Feature Selection Methods.
FLAIRS Conference 2010 |
| 27 |  | Taghi M. Khoshgoftaar,
Kehan Gao,
Naeem Seliya:
Attribute Selection and Imbalanced Data: Problems in Software Defect Prediction.
ICTAI (1) 2010: 137-144 |
| 26 |  | Huanjing Wang,
Taghi M. Khoshgoftaar,
Kehan Gao:
A comparative study of filter-based feature ranking techniques.
IRI 2010: 43-48 |
| 25 |  | Taghi M. Khoshgoftaar,
Kehan Gao,
Jason Van Hulse:
A novel feature selection technique for highly imbalanced data.
IRI 2010: 80-85 |
| 24 |  | Taghi M. Khoshgoftaar,
Kehan Gao:
Software Engineering with Computational Intelligence and Machine Learning A Novel Software Metric Selection Technique Using the Area Under ROC Curves.
SEKE 2010: 203-208 |
| 23 |  | Huanjing Wang,
Taghi M. Khoshgoftaar,
Kehan Gao:
Ensemble Feature Selection Technique for Software Quality Classification.
SEKE 2010: 215-220 |
| 2009 |
| 22 |  | Huanjing Wang,
Taghi M. Khoshgoftaar,
Kehan Gao,
Naeem Seliya:
Mining Data from Multiple Software Development Projects.
ICDM Workshops 2009: 551-557 |
| 21 |  | Taghi M. Khoshgoftaar,
Kehan Gao:
Feature Selection with Imbalanced Data for Software Defect Prediction.
ICMLA 2009: 235-240 |
| 20 |  | Kehan Gao,
Taghi M. Khoshgoftaar,
Amri Napolitano:
Exploring Software Quality Classification with a Wrapper-Based Feature Ranking Technique.
ICTAI 2009: 67-74 |
| 19 |  | Huanjing Wang,
Taghi M. Khoshgoftaar,
Kehan Gao,
Naeem Seliya:
High-Dimensional Software Engineering Data and Feature Selection.
ICTAI 2009: 83-90 |
| 18 |  | Kehan Gao,
Taghi M. Khoshgoftaar,
Huanjing Wang:
An Empirical Investigation of Filter Attribute Selection Techniques for Software Quality Classification.
IRI 2009: 272-277 |
| 17 |  | Kehan Gao,
Taghi M. Khoshgoftaar:
Count Models for Software Quality Estimation.
Encyclopedia of Data Warehousing and Mining 2009: 346-352 |
| 2007 |
| 16 |  | Lofton A. Bullard,
Taghi M. Khoshgoftaar,
Kehan Gao:
An application of a rule-based model in software quality classification.
ICMLA 2007: 204-210 |
| 15 |  | Taghi M. Khoshgoftaar,
Kehan Gao:
Count Models for Software Quality Estimation.
IEEE Transactions on Reliability 56(2): 212-222 (2007) |
| 14 |  | Kehan Gao,
Taghi M. Khoshgoftaar:
A Comprehensive Empirical Study of Count Models for Software Fault Prediction.
IEEE Transactions on Reliability 56(2): 223-236 (2007) |
| 2006 |
| 13 |  | Taghi M. Khoshgoftaar,
Kehan Gao:
Assessment of a Multi-Strategy Classifier for an Embedded Software System.
ICTAI 2006: 651-658 |
| 12 |  | Taghi M. Khoshgoftaar,
Kehan Gao,
Hua Lin:
Indirect classification approaches: a comparative study in network intrusion detection.
IJCAT 27(4): 232-245 (2006) |
| 2005 |
| 11 |  | Zhiwei Xu,
Kehan Gao,
Taghi M. Khoshgoftaar:
Application of fuzzy expert system in test case selection for system regression test.
IRI 2005: 120-125 |
| 10 |  | Taghi M. Khoshgoftaar,
Naeem Seliya,
Kehan Gao:
Assessment of a New Three-Group Software Quality Classification Technique: An Empirical Case Study.
Empirical Software Engineering 10(2): 183-218 (2005) |
| 9 |  | Taghi M. Khoshgoftaar,
Kehan Gao,
Robert M. Szabo:
Comparing software fault predictions of pure and zero-inflated Poisson regression models.
Int. J. Systems Science 36(11): 705-715 (2005) |
| 8 |  | Taghi M. Khoshgoftaar,
Kehan Gao,
Nawal H. Ibrahim:
Evaluating indirect and direct classification techniques for network intrusion detection.
Intell. Data Anal. 9(3): 309-326 (2005) |
| 7 |  | Taghi M. Khoshgoftaar,
Naeem Seliya,
Kehan Gao:
Detecting noisy instances with the rule-based classification model.
Intell. Data Anal. 9(4): 347-364 (2005) |
| 2004 |
| 6 |  | Taghi M. Khoshgoftaar,
Naeem Seliya,
Kehan Gao:
Rule-Based Noise Detection for Software Measurement Data.
IRI 2004: 302-307 |
| 5 |  | Taghi M. Khoshgoftaar,
Yudong Xiao,
Kehan Gao:
Multi-Objective Optimization by CBR GA-Optimizer for Module-Order Modeling.
SEKE 2004: 220-225 |
| 2003 |
| 4 |  | Taghi M. Khoshgoftaar,
Lofton A. Bullard,
Kehan Gao:
Detecting Outliers Using Rule-Based Modeling for Improving CBR-Based Software Quality Classification Models.
ICCBR 2003: 216-230 |
| 3 |  | Taghi M. Khoshgoftaar,
Laurent A. Nguyen,
Kehan Gao,
Jayanth Rajeevalochanam:
Application of an Attribute Selection Method to CBR-Based Software Quality Classification.
ICTAI 2003: 47-52 |
| 2002 |
| 2 |  | Taghi M. Khoshgoftaar,
Erik Geleyn,
Kehan Gao:
An Empirical Study of the Impact of Count Models Predictions on Module-Order Models.
IEEE METRICS 2002: 161-172 |
| 2001 |
| 1 |  | Taghi M. Khoshgoftaar,
Kehan Gao,
Robert M. Szabo:
An Application of Zero-Inflated Poisson Regression for Software Fault Prediction .
ISSRE 2001: 66-73 |