 | 2009 |
|---|
| 198 |       | Xiaoyuan Su,
Taghi M. Khoshgoftaar,
Russell Greiner:
VipBoost: A More Accurate Boosting Algorithm.
FLAIRS Conference 2009 |
| 197 |  | Jason Van Hulse,
Taghi M. Khoshgoftaar,
Amri Napolitano,
Randall Wald:
Feature Selection with High-Dimensional Imbalanced Data.
ICDM Workshops 2009: 507-514 |
| 196 | | Huanjing Wang,
Taghi M. Khoshgoftaar,
Kehan Gao,
Naeem Seliya:
Mining Data from Multiple Software Development Projects.
ICDM Workshops 2009: 551-557 |
| 195 | | Naeem Seliya,
Taghi M. Khoshgoftaar,
Jason Van Hulse:
A Study on the Relationships of Classifier Performance Metrics.
ICTAI 2009: 59-66 |
| 194 | | Kehan Gao,
Taghi M. Khoshgoftaar,
Amri Napolitano:
Exploring Software Quality Classification with a Wrapper-Based Feature Ranking Technique.
ICTAI 2009: 67-74 |
| 193 | | Wilker Altidor,
Taghi M. Khoshgoftaar,
Jason Van Hulse:
An Empirical Study on Wrapper-Based Feature Ranking.
ICTAI 2009: 75-82 |
| 192 | | Huanjing Wang,
Taghi M. Khoshgoftaar,
Kehan Gao,
Naeem Seliya:
High-Dimensional Software Engineering Data and Feature Selection.
ICTAI 2009: 83-90 |
| 191 | | Naeem Seliya,
Taghi M. Khoshgoftaar:
Value-Based Software Quality Modeling.
SEKE 2009: 116-121 |
| 190 | | John C. Sloan,
Taghi M. Khoshgoftaar,
Augusto Varas:
An Extendible Translation of BPEL to a Machine-verifiable Model.
SEKE 2009: 344-349 |
| 189 | | Pengpeng Lin,
Huanjing Wang,
Taghi M. Khoshgoftaar:
A Novel Hybrid Search Algorithm for Feature Selection.
SEKE 2009: 81-86 |
| 188 | | Jason Van Hulse,
Taghi M. Khoshgoftaar:
Knowledge discovery from imbalanced and noisy data.
Data Knowl. Eng. 68(12): 1513-1542 (2009) |
| 187 | | John C. Sloan,
Taghi M. Khoshgoftaar:
From Web Service Artifact to a Readable and Verifiable Model.
IEEE T. Services Computing 2(4): 277-288 (2009) |
| 186 | | Taghi M. Khoshgoftaar,
Pierre Rebours,
Naeem Seliya:
Software quality analysis by combining multiple projects and learners.
Software Quality Journal 17(1): 25-49 (2009) |
| 2008 |
|---|
| 185 | | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Amri Napolitano:
Building Useful Models from Imbalanced Data with Sampling and Boosting.
FLAIRS Conference 2008: 306-311 |
| 184 | | Xiaoyuan Su,
Taghi M. Khoshgoftaar,
Russell Greiner:
A Mixture Imputation-Boosted Collaborative Filter.
FLAIRS Conference 2008: 312-316 |
| 183 | | Chinar C. Shah,
Xingquan Zhu,
Taghi M. Khoshgoftaar,
Justin Beyer:
Contrast Pattern Mining with Gap Constraints for Peptide Folding Prediction.
FLAIRS Conference 2008: 95-100 |
| 182 | | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Amri Napolitano:
A Comparative Study of Data Sampling and Cost Sensitive Learning.
ICDM Workshops 2008: 46-52 |
| 181 | | Andres Folleco,
Taghi M. Khoshgoftaar,
Amri Napolitano:
Comparison of Four Performance Metrics for Evaluating Sampling Techniques for Low Quality Class-Imbalanced Data.
ICMLA 2008: 153-158 |
| 180 | | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Amri Napolitano:
RUSBoost: Improving classification performance when training data is skewed.
ICPR 2008: 1-4 |
| 179 | | Xiaoyuan Su,
Taghi M. Khoshgoftaar,
Xingquan Zhu:
VoB predictors: Voting on bagging classifications.
ICPR 2008: 1-4 |
| 178 | | Xiaoyuan Su,
Taghi M. Khoshgoftaar,
Russell Greiner:
Using Imputation Techniques to Help Learn Accurate Classifiers.
ICTAI (1) 2008: 437-444 |
| 177 | | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Amri Napolitano:
Resampling or Reweighting: A Comparison of Boosting Implementations.
ICTAI (1) 2008: 445-451 |
| 176 | | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Amri Napolitano:
Improving Learner Performance with Data Sampling and Boosting.
ICTAI (1) 2008: 452-459 |
| 175 | | Naeem Seliya,
Zhiwei Xu,
Taghi M. Khoshgoftaar:
Addressing Class Imbalance in Non-binary Classification Problems.
ICTAI (1) 2008: 460-466 |
| 174 | | Andres Folleco,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Lofton A. Bullard:
Software quality modeling: The impact of class noise on the random forest classifier.
IEEE Congress on Evolutionary Computation 2008: 3853-3859 |
| 173 | | Andres Folleco,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Lofton A. Bullard:
Identifying learners robust to low quality data.
IRI 2008: 190-195 |
| 172 | | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse:
Hybrid sampling for imbalanced data.
IRI 2008: 202-207 |
| 171 | | Xiaoyuan Su,
Taghi M. Khoshgoftaar,
Xingquan Zhu:
VCI predictors: Voting on classifications from imputed learning sets.
IRI 2008: 296-301 |
| 170 | | Xiaoyuan Su,
Taghi M. Khoshgoftaar,
Xingquan Zhu,
Russell Greiner:
Imputation-boosted collaborative filtering using machine learning classifiers.
SAC 2008: 949-950 |
| 169 | | Taghi M. Khoshgoftaar,
Naeem Seliya,
Dennis J. Drown:
On the Rarity of Fault-prone Modules in Knowledge-based Software Quality Modeling.
SEKE 2008: 279-284 |
| 168 | | John C. Sloan,
Taghi M. Khoshgoftaar:
Toward Model Checking Web Services Over the Web.
SEKE 2008: 519-524 |
| 167 | | Andres Folleco,
Taghi M. Khoshgoftaar,
Lofton A. Bullard:
Analyzing the Impact of Attribute Noise on Software Quality Classification.
SEKE 2008: 73-78 |
| 166 | | Xiaoyuan Su,
Taghi M. Khoshgoftaar,
Russell Greiner:
Imputed Neighborhood Based Collaborative Filtering.
Web Intelligence 2008: 633-639 |
| 165 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
Software Module Risk Analysis.
Wiley Encyclopedia of Computer Science and Engineering 2008 |
| 164 | | Naeem Seliya,
Taghi M. Khoshgoftaar:
Software Quality Modeling as a Reliability Tool.
Wiley Encyclopedia of Computer Science and Engineering 2008 |
| 163 | | John C. Sloan,
Taghi M. Khoshgoftaar,
Venkat Raghav:
Assuring Timeliness in an e-Science Service-Oriented Architecture.
IEEE Computer 41(8): 56-62 (2008) |
| 162 | | Xiaoyuan Su,
Taghi M. Khoshgoftaar:
Collaborative Filtering for Multi-Class Data Using Bayesian Networks.
International Journal on Artificial Intelligence Tools 17(1): 71-85 (2008) |
| 161 | | Taghi M. Khoshgoftaar,
Naeem Seliya,
Chris Seiffert:
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs.
International Journal on Artificial Intelligence Tools 17(3): 521-537 (2008) |
| 160 | | Jason Van Hulse,
Taghi M. Khoshgoftaar:
A comprehensive empirical evaluation of missing value imputation in noisy software measurement data.
Journal of Systems and Software 81(5): 691-708 (2008) |
| 159 | | Taghi M. Khoshgoftaar,
Jason Van Hulse:
Imputation techniques for multivariate missingness in software measurement data.
Software Quality Journal 16(4): 563-600 (2008) |
| 2007 |
|---|
| 158 | | Taghi M. Khoshgoftaar,
Chris Seiffert,
Naeem Seliya:
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs.
FLAIRS Conference 2007: 490-495 |
| 157 | | Jason Van Hulse,
Taghi M. Khoshgoftaar,
Amri Napolitano:
Skewed Class Distributions and Mislabeled Examples.
ICDM Workshops 2007: 477-482 |
| 156 | | Xiaoyuan Su,
Taghi M. Khoshgoftaar:
Arbitrarily-Shaped Window Based Stereo Matching using the Go-Light Optimization Algorithm.
ICIP (6) 2007: 556-559 |
| 155 | | Jason Van Hulse,
Taghi M. Khoshgoftaar,
Amri Napolitano:
Experimental perspectives on learning from imbalanced data.
ICML 2007: 935-942 |
| 154 | | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Amri Napolitano:
Mining Data with Rare Events: A Case Study.
ICTAI (2) 2007: 132-139 |
| 153 | | Taghi M. Khoshgoftaar,
Moiz Golawala,
Jason Van Hulse:
An Empirical Study of Learning from Imbalanced Data Using Random Forest.
ICTAI (2) 2007: 310-317 |
| 152 | | Xingquan Zhu,
Xindong Wu,
Taghi M. Khoshgoftaar,
Yong Shi:
An Empirical Study of the Noise Impact on Cost-Sensitive Learning.
IJCAI 2007: 1168-1174 |
| 151 | | Qiming Luo,
Taghi M. Khoshgoftaar:
An Empirical Study on Estimating Motions in Video Stabilization.
IRI 2007: 360-366 |
| 150 | | Jason Van Hulse,
Taghi M. Khoshgoftaar:
Incomplete-Case Nearest Neighbor Imputation in Software Measurement Data.
IRI 2007: 630-637 |
| 149 | | Yi Liu,
Taghi M. Khoshgoftaar,
Jenq-Foung Yao:
Building a Novel GP-Based Software Quality Classifier Using Multiple Validation Datasets.
IRI 2007: 644-650 |
| 148 | | Chris Seiffert,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Andres Folleco:
An Empirical Study of the Classification Performance of Learners on Imbalanced and Noisy Software Quality Data.
IRI 2007: 651-658 |
| 147 | | Xiaoyuan Su,
Taghi M. Khoshgoftaar:
A Progressive Edge-Based Stereo Correspondence Method.
ISVC (1) 2007: 248-257 |
| 146 | | Xiaoyuan Su,
Taghi M. Khoshgoftaar,
Xingquan Zhu,
Andres Folleco:
Rule-Based Multiple Object Tracking for Traffic Surveillance Using Collaborative Background Extraction.
ISVC (2) 2007: 469-478 |
| 145 | | Andres Folleco,
Taghi M. Khoshgoftaar,
Jason Van Hulse,
Chris Seiffert:
Learning from Software Quality Data with Class Imbalance and Noise.
SEKE 2007: 487- |
| 144 | | Xiaoyuan Su,
Russell Greiner,
Taghi M. Khoshgoftaar,
Xingquan Zhu:
Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts.
Web Intelligence 2007: 645-649 |
| 143 | | Taghi M. Khoshgoftaar,
Kehan Gao:
Count Models for Software Quality Estimation.
IEEE Transactions on Reliability 56(2): 212-222 (2007) |
| 142 | | 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) |
| 141 | | Taghi M. Khoshgoftaar,
Yi Liu:
A Multi-Objective Software Quality Classification Model Using Genetic Programming.
IEEE Transactions on Reliability 56(2): 237-245 (2007) |
| 140 | | Naeem Seliya,
Taghi M. Khoshgoftaar:
Software Quality Analysis of Unlabeled Program Modules With Semisupervised Clustering.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 37(2): 201-211 (2007) |
| 139 | | Taghi M. Khoshgoftaar,
Jason Van Hulse,
Chris Seiffert,
Lili Zhao:
The multiple imputation quantitative noise corrector.
Intell. Data Anal. 11(3): 245-263 (2007) |
| 138 | | Taghi M. Khoshgoftaar,
Pierre Rebours:
Improving Software Quality Prediction by Noise Filtering Techniques.
J. Comput. Sci. Technol. 22(3): 387-396 (2007) |
| 137 | | Xingquan Zhu,
Taghi M. Khoshgoftaar,
Ian Davidson,
Shichao Zhang:
Editorial: Special issue on mining low-quality data.
Knowl. Inf. Syst. 11(2): 131-136 (2007) |
| 136 | | Jason Van Hulse,
Taghi M. Khoshgoftaar,
Haiying Huang:
The pairwise attribute noise detection algorithm.
Knowl. Inf. Syst. 11(2): 171-190 (2007) |
| 135 | | Naeem Seliya,
Taghi M. Khoshgoftaar:
Software quality estimation with limited fault data: a semi-supervised learning perspective.
Software Quality Journal 15(3): 327-344 (2007) |
| 2006 |
|---|
| 134 | | Xiaoyuan Su,
Taghi M. Khoshgoftaar:
Collaborative Filtering for Multi-class Data Using Belief Nets Algorithms.
ICTAI 2006: 497-504 |
| 133 | | Taghi M. Khoshgoftaar,
Kehan Gao:
Assessment of a Multi-Strategy Classifier for an Embedded Software System.
ICTAI 2006: 651-658 |
| 132 | | Taghi M. Khoshgoftaar,
Jason Van Hulse,
Chris Seiffert:
A Hybrid Approach to Cleansing Software Measurement Data.
ICTAI 2006: 713-722 |
| 131 | | Taghi M. Khoshgoftaar,
Chris Seiffert,
Naeem Seliya:
Labeling network event records for intrusion detection in a Wireless LAN.
IRI 2006: 200-206 |
| 130 | | Yi Liu,
Taghi M. Khoshgoftaar,
Jenq-Foung Yao:
Developing an effective validation strategy for genetic programming models based on multiple datasets.
IRI 2006: 232-237 |
| 129 | | Qiming Luo,
Taghi M. Khoshgoftaar,
Andres Folleco:
Classification of ships in surveillance video.
IRI 2006: 432-437 |
| 128 | | Jason Van Hulse,
Taghi M. Khoshgoftaar,
Chris Seiffert,
Lili Zhao:
Noise correction using bayesian multiple imputation.
IRI 2006: 478-483 |
| 127 | | Taghi M. Khoshgoftaar,
Andres Folleco,
Jason Van Hulse,
Lofton A. Bullard:
Software quality imputation in the presence of noisy data.
IRI 2006: 484-489 |
| 126 | | Taghi M. Khoshgoftaar,
Jason Van Hulse:
Multiple Imputation of Software Measurement Data: A Case Study.
SEKE 2006: 220-226 |
| 125 | | Taghi M. Khoshgoftaar,
Chris Seiffert,
Jason Van Hulse:
Polishing Noise in Continuous Software Measurement Data.
SEKE 2006: 227-231 |
| 124 | | Pierre Rebours,
Taghi M. Khoshgoftaar:
Quality Problem in Software Measurement Data.
Advances in Computers 66: 44-79 (2006) |
| 123 | | Qiming Luo,
Taghi M. Khoshgoftaar:
Unsupervised multiscale color image segmentation based on MDL principle.
IEEE Transactions on Image Processing 15(9): 2755-2761 (2006) |
| 122 | | Taghi M. Khoshgoftaar,
Kehan Gao,
Hua Lin:
Indirect classification approaches: a comparative study in network intrusion detection.
IJCAT 27(4): 232-245 (2006) |
| 121 | | Taghi M. Khoshgoftaar,
Pierre Rebours:
Noise elimination with partitioning filter for software quality estimation.
IJCAT 27(4): 246-258 (2006) |
| 120 | | Taghi M. Khoshgoftaar,
Jason Van Hulse:
Determining noisy instances relative to attributes of interest.
Intell. Data Anal. 10(3): 251-268 (2006) |
| 119 | | Jason Van Hulse,
Taghi M. Khoshgoftaar:
Class noise detection using frequent itemsets.
Intell. Data Anal. 10(6): 487-507 (2006) |
| 118 | | Taghi M. Khoshgoftaar,
Vedang H. Joshi,
Naeem Seliya:
Detecting Noisy Instances with the Ensemble Filter: a Study in Software Quality Estimation.
International Journal of Software Engineering and Knowledge Engineering 16(1): 53-76 (2006) |
| 117 | | Taghi M. Khoshgoftaar,
Naeem Seliya,
Nandini Sundaresh:
An empirical study of predicting software faults with case-based reasoning.
Software Quality Journal 14(2): 85-111 (2006) |
| 116 | | Taghi M. Khoshgoftaar,
Angela Herzberg,
Naeem Seliya:
Resource oriented selection of rule-based classification models: An empirical case study.
Software Quality Journal 14(4): 309-338 (2006) |
| 2005 |
|---|
| 115 | | Du Zhang,
Taghi M. Khoshgoftaar,
Mei-Ling Shyu:
Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005, August 15-17, 2005, Las Vegas Hilton, Las Vegas, NV, USA
IEEE Systems, Man, and Cybernetics Society 2005 |
| 114 | | Naeem Seliya,
Taghi M. Khoshgoftaar,
Shi Zhong:
Analyzing Software Quality with Limited Fault-Proneness Defect Data.
HASE 2005: 89-98 |
| 113 | | Shi Zhong,
Taghi M. Khoshgoftaar,
Shyam Varan Nath:
A Clustering Approach to Wireless Network Intrusion Detection.
ICTAI 2005: 190-196 |
| 112 | | Zhiwei Xu,
Kehan Gao,
Taghi M. Khoshgoftaar:
Application of fuzzy expert system in test case selection for system regression test.
IRI 2005: 120-125 |
| 111 | | Yudong Xiao,
Taghi M. Khoshgoftaar,
Naeem Seliya:
The partitioning- and rule-based filter for noise detection.
IRI 2005: 205-210 |
| 110 | | Taghi M. Khoshgoftaar,
Jason Van Hulse:
Empirical case studies in attribute noise detection.
IRI 2005: 211-216 |
| 109 | | Qiming Luo,
Taghi M. Khoshgoftaar,
Edgar An:
Hierarchical indexing of ocean survey video by mean shift clustering and MDL principle.
IRI 2005: 404-409 |
| 108 | | 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) |
| 107 | | 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) |
| 106 | | Taghi M. Khoshgoftaar,
Shi Zhong,
Vedang H. Joshi:
Enhancing software quality estimation using ensemble-classifier based noise filtering.
Intell. Data Anal. 9(1): 3-27 (2005) |
| 105 | | 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) |
| 104 | | Taghi M. Khoshgoftaar,
Naeem Seliya,
Kehan Gao:
Detecting noisy instances with the rule-based classification model.
Intell. Data Anal. 9(4): 347-364 (2005) |
| 103 | | Taghi M. Khoshgoftaar,
Pierre Rebours:
Evaluating noise elimination techniques for software quality estimation.
Intell. Data Anal. 9(5): 487-508 (2005) |
| 102 | | Taghi M. Khoshgoftaar,
Jason Van Hulse:
Identifying noisy features with the Pairwise Attribute Noise Detection Algorithm.
Intell. Data Anal. 9(6): 589-602 (2005) |
| 101 | | Taghi M. Khoshgoftaar,
Naeem Seliya,
Angela Herzberg:
Resource-oriented software quality classification models.
Journal of Systems and Software 76(2): 111-126 (2005) |
| 2004 |
|---|
| 100 | | Shi Zhong,
Taghi M. Khoshgoftaar,
Naeem Seliya:
Unsupervised Learning for Expert-Based Software Quality Estimation.
HASE 2004: 149-155 |
| 99 | | Taghi M. Khoshgoftaar,
Mohamed E. Abushadi:
Resource-Sensitive Intrusion Detection Models for Network Traffic.
HASE 2004: 249-258 |
| 98 | | Yi Liu,
Taghi M. Khoshgoftaar:
Reducing Overfitting in Genetic Programming Models for Software Quality Classification.
HASE 2004: 56-65 |
| 97 | | Naeem Seliya,
Taghi M. Khoshgoftaar,
Shi Zhong:
Semi-Supervised Learning for Software Quality Estimation.
ICTAI 2004: 183-190 |
| 96 | | Qiming Luo,
Taghi M. Khoshgoftaar:
Efficient Image Segmentation by Mean Shift Clustering and MDL-Guided Region Merging.
ICTAI 2004: 337-343 |
| 95 | | Wei Tang,
Taghi M. Khoshgoftaar:
Noise Identification with the k-Means Algorithm.
ICTAI 2004: 373-378 |
| 94 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
The Necessity of Assuring Quality in Software Measurement Data.
IEEE METRICS 2004: 119-130 |
| 93 | | Taghi M. Khoshgoftaar,
Yi Liu,
Naeem Seliya:
Module-Order Modeling using an Evolutionary Multi-Objective Optimization Approach.
IEEE METRICS 2004: 159-169 |
| 92 | | Taghi M. Khoshgoftaar,
Naeem Seliya,
Kehan Gao:
Rule-Based Noise Detection for Software Measurement Data.
IRI 2004: 302-307 |
| 91 | | Taghi M. Khoshgoftaar,
Pierre Rebours:
Generating Multiple Noise Elimination Filters with the Ensemble-Partitioning Filter.
IRI 2004: 369-375 |
| 90 | | Taghi M. Khoshgoftaar,
Yudong Xiao,
Kehan Gao:
Multi-Objective Optimization by CBR GA-Optimizer for Module-Order Modeling.
SEKE 2004: 220-225 |
| 89 | | Taghi M. Khoshgoftaar,
Vedang H. Joshi:
Noise Elimination with Ensemble-Classifier Filtering: A Case-Study in Software Quality Engineerin.
SEKE 2004: 226-231 |
| 88 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
Software quality estimation with case-based reasoning.
Advances in Computers 62: 250-293 (2004) |
| 87 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
Comparative Assessment of Software Quality Classification Techniques: An Empirical Case Study.
Empirical Software Engineering 9(3): 229-257 (2004) |
| 86 | | Zhiwei Xu,
Taghi M. Khoshgoftaar:
Identification of fuzzy models of software cost estimation.
Fuzzy Sets and Systems 145(1): 141-163 (2004) |
| 85 | | Shi Zhong,
Taghi M. Khoshgoftaar,
Naeem Seliya:
Analyzing Software Measurement Data with Clustering Techniques.
IEEE Intelligent Systems 19(2): 20-27 (2004) |
| 84 | | Taghi M. Khoshgoftaar,
Yi Liu,
Naeem Seliya:
A multiobjective module-order model for software quality enhancement.
IEEE Trans. Evolutionary Computation 8(6): 593-608 (2004) |
| 2003 |
|---|
| 83 | | Yi Liu,
Taghi M. Khoshgoftaar:
Building Decision Tree Software Quality Classification Models Using Genetic Programming.
GECCO 2003: 1808-1809 |
| 82 | | 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 |
| 81 | | Taghi M. Khoshgoftaar,
Yi Liu,
Naeem Seliya:
Genetic Programming-Based Decision Trees for Software Quality Classification.
ICTAI 2003: 374-383 |
| 80 | | 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 |
| 79 | | Taghi M. Khoshgoftaar,
Erik Geleyn,
Laurent A. Nguyen:
Empirical Case Studies of Combining Software Quality Classification Models.
QSIC 2003: 40- |
| 78 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
Fault Prediction Modeling for Software Quality Estimation: Comparing Commonly Used Techniques.
Empirical Software Engineering 8(3): 255-283 (2003) |
| 77 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
Analogy-Based Practical Classification Rules for Software Quality Estimation.
Empirical Software Engineering 8(4): 325-350 (2003) |
| 76 | | Zhiwei Xu,
Taghi M. Khoshgoftaar,
Edward B. Allen:
Application of fuzzy expert systems in assessing operational risk of software.
Information & Software Technology 45(7): 373-388 (2003) |
| 75 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
Software Quality Classification Modeling Using the SPRINT Decision Tree Algorithm.
International Journal on Artificial Intelligence Tools 12(3): 207-225 (2003) |
| 74 | | Taghi M. Khoshgoftaar,
Edward B. Allen:
Ordering Fault-Prone Software Modules.
Software Quality Journal 11(1): 19-37 (2003) |
| 73 | | Taghi M. Khoshgoftaar:
Introduction to the Special Issue on Quality Engineering with Computational Intelligence.
Software Quality Journal 11(2): 85-86 (2003) |
| 2002 |
|---|
| 72 | | Taghi M. Khoshgoftaar,
Erik Geleyn,
Laurent A. Nguyen,
Lofton A. Bullard:
Cost-Sensitive Boosting In Software Quality Modeling.
HASE 2002: 51-62 |
| 71 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
Software Quality Classification Modeling Using The SPRINT Decision Tree Algorithm.
ICTAI 2002: 365-374 |
| 70 | | 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 |
| 69 | | Taghi M. Khoshgoftaar,
Naeem Seliya:
Tree-Based Software Quality Estimation Models For Fault Prediction.
IEEE METRICS 2002: 203- |
| 68 | | Ali Idri,
Alain Abran,
Taghi M. Khoshgoftaar:
Estimating Software Project Effort by Analogy Based on Linguistic Values.
IEEE METRICS 2002: 21- |
| 67 | | Taghi M. Khoshgoftaar:
Improving Usefulness of Software Quality Classification Models Based on Boolean Discriminant Functions.
ISSRE 2002: 221-230 |
| 66 | | Taghi M. Khoshgoftaar,
Xiaojing Yuan,
Edward B. Allen,
Wendell D. Jones,
John P. Hudepohl:
Uncertain Classification of Fault-Prone Software Modules.
Empirical Software Engineering 7(4): 295-295 (2002) |
| 65 | | Taghi M. Khoshgoftaar,
Bojan Cukic,
Naeem Seliya:
Predicting Fault-Prone Modules in Embedded Systems Using Analogy-Based Classification Models.
International Journal of Software Engineering and Knowledge Engineering 12(2): 201-221 (2002) |
| 2001 |
|---|
| 64 | | Yi Liu,
Taghi M. Khoshgoftaar:
Genetic Programming Model for Software Quality Classification.
HASE 2001: 127- |
| 63 | | Edward B. Allen,
Taghi M. Khoshgoftaar,
Ye Chen:
Measuring Coupling and Cohesion of Software Modules: An Information-Theory Approach.
IEEE METRICS 2001: 124-134 |
| 62 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
Jianyu Deng:
Controlling Overfitting in Software Quality Models: Experiments with Regression Trees and Classification.
IEEE METRICS 2001: 190-198 |
| 61 | | Taghi M. Khoshgoftaar,
Kehan Gao,
Robert M. Szabo:
An Application of Zero-Inflated Poisson Regression for Software Fault Prediction .
ISSRE 2001: 66-73 |
| 60 | | Zhiwei Xu,
Taghi M. Khoshgoftaar:
Software Quality Prediction for High-Assurance Network Telecommunications Systems.
Comput. J. 44(6): 557-568 (2001) |
| 59 | | Taghi M. Khoshgoftaar,
Edward B. Allen:
Controlling Overfitting in Classification-Tree Models of Software Quality.
Empirical Software Engineering 6(1): 59-79 (2001) |
| 58 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
Wendell D. Jones,
John P. Hudepohl:
Cost-Benefit Analysis of Software Quality Models.
Software Quality Journal 9(1): 9-30 (2001) |
| 57 | | Taghi M. Khoshgoftaar,
Edward B. Allen:
Empirical Assessment of a Software Metric: The Information Content of Operators.
Software Quality Journal 9(2): 99-112 (2001) |
| 56 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
Wendell D. Jones,
John P. Hudepohl:
Data Mining of Software Development Databases.
Software Quality Journal 9(3): 161-176 (2001) |
| 2000 |
|---|
| 55 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
Jason C. Busboom:
Modeling software quality: the Software Measurement Analysis and Reliability Toolkit.
ICTAI 2000: 54-61 |
| 54 | | Taghi M. Khoshgoftaar,
Ruqun Shan,
Edward B. Allen:
Improving Tree-Based Models of Software Quality with Principal Components Analysis.
ISSRE 2000: 198-209 |
| 53 | | Taghi M. Khoshgoftaar,
Vishal Thaker,
Edward B. Allen:
Modeling Fault-Prone Modules of Subsystems.
ISSRE 2000: 259-269 |
| 52 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
Wendell D. Jones,
John P. Hudepohl:
Accuracy of software quality models over multiple releases.
Ann. Software Eng. 9: 103-116 (2000) |
| 51 | | Taghi M. Khoshgoftaar,
Xiaojing Yuan,
Edward B. Allen:
Balancing Misclassification Rates in Classification-Tree Models of Software Quality.
Empirical Software Engineering 5(4): 313-330 (2000) |
| 50 | | K. Ganesan,
Taghi M. Khoshgoftaar,
Edward B. Allen:
Verifying Requirements Through Mathematical Modelling and Animation.
International Journal of Software Engineering and Knowledge Engineering 10(2): 139-152 (2000) |
| 1999 |
|---|
| 49 | | Wendell D. Jones,
John P. Hudepohl,
Taghi M. Khoshgoftaar,
Edward B. Allen:
Application of a Usage Profile in Software Quality Models.
CSMR 1999: 148-159 |
| 48 | | Matthew P. Evett,
Taghi M. Khoshgoftaar,
Pei-der Chien,
Edward B. Allen:
Using Genetic Programming to Determine Software Quality.
FLAIRS Conference 1999: 113-117 |
| 47 | | Matthew P. Evett,
Taghi M. Khoshgoftaar,
Pei-der Chien,
Edward B. Allen:
Modelling software quality with GP.
GECCO 1999: 1232 |
| 46 | | Taghi M. Khoshgoftaar,
Edward B. Allen:
Predicting Fault-Prone Software Modules in Embedded Systems with Classification Trees.
HASE 1999: 105- |
| 45 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
Xiaojing Yuan,
Wendell D. Jones,
John P. Hudepohl:
Experience Paper: Preparing Measurements of Legacy Software for Predicting Operational Faults.
ICSM 1999: 359- |
| 44 | | Edward B. Allen,
Taghi M. Khoshgoftaar:
Measuring Coupling and Cohesion: An Information-Theory Approach.
IEEE METRICS 1999: 119- |
| 43 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
Xiaojing Yuan,
Wendell D. Jones,
John P. Hudepohl:
Assessing Uncertain Predictions of Software Quality.
IEEE METRICS 1999: 159- |
| 42 | | Norman F. Schneidewind,
Wendell D. Jones,
Taghi M. Khoshgoftaar,
Paul W. Oman,
George E. Stark:
Can Metrics and Models be Applied Across Multiple Releases or Projects?
IEEE METRICS 1999: 324- |
| 41 | | Taghi M. Khoshgoftaar,
Edward B. Allen:
A Comparative Study of Ordering and Classification of Fault-Prone Software Modules.
Empirical Software Engineering 4(2): 159-186 (1999) |
| 40 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
Archana Naik,
Wendell D. Jones,
John P. Hudepohl:
Using Classification Trees for Software Quality Models: Lessons Learned.
International Journal of Software Engineering and Knowledge Engineering 9(2): 217-232 (1999) |
| 39 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
Wendell D. Jones,
John P. Hudepohl:
Data Mining for Predictors of Software Quality.
International Journal of Software Engineering and Knowledge Engineering 9(5): 547-564 (1999) |
| 38 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
Wendell D. Jones,
John P. Hudepohl:
Which Software Modules have Faults which will be Discovered by Customers?
Journal of Software Maintenance 11(1): 1-18 (1999) |
| 1998 |
|---|
| 37 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
Archana Naik,
Wendell D. Jones,
John P. Hudepohl:
Using Classification Trees for Software Quality Models: Lessons Learned.
HASE 1998: 82-89 |
| 36 | | Donald F. Schenker,
Taghi M. Khoshgoftaar:
The Application of Fuzzy Enhanced Case-Based Reasoning for Identifying Fault-Prone Modules.
HASE 1998: 90-97 |
| 35 | | Wendell D. Jones,
Taghi M. Khoshgoftaar,
John C. Munson,
T. Troy Pearse,
George E. Stark:
Hitting the Moving Target: Trials and Tribulations of Modeling Quality in Evolving Software Systems.
ICSM 1998: 66-67 |
| 34 | | Taghi M. Khoshgoftaar,
Edward B. Allen:
Can a Software Quality Model Hit a Moving Target?
ICSM 1998: 68-70 |
| 33 | | Taghi M. Khoshgoftaar,
Edward B. Allen:
Classification of Fault-Prone Software Modules: Prior Probabilities, Costs, and Model Evaluation.
Empirical Software Engineering 3(3): 275-298 (1998) |
| 32 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
Robert Halstead,
Gary P. Trio,
Ronald M. Flass:
Using Process History to Predict Software Quality.
IEEE Computer 31(4): 66-72 (1998) |
| 1997 |
|---|
| 31 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
Robert Halstead,
Gary P. Trio,
Ronald M. Flass:
Process Measures for Predicting Software Quality.
HASE 1997: 155- |
| 30 | | Taghi M. Khoshgoftaar,
Edward B. Allen:
The Impact of Costs of Misclassification on Software Quality Modeling.
IEEE METRICS 1997: 54- |
| 29 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
David L. Lanning:
An Information Theory-Based Approach to Quantifying the Contribution of a Software Metric.
Journal of Systems and Software 36(2): 103-113 (1997) |
| 1996 |
|---|
| 28 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
Lofton A. Bullard,
Robert Halstead,
Gary P. Trio:
A tree-based classification model for analysis of a military software system.
HASE 1996: 244- |
| 27 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
Robert Halstead,
Gary P. Trio:
Detection of Fault-Prone Software Modules During a Spiral Life Cycle.
ICSM 1996: 69-76 |
| 26 | | Taghi M. Khoshgoftaar,
Edward B. Allen,
Kalai Kalaichelvan,
Nishith Goel:
Early Quality Prediction: A Case Study in Telecommunications.
IEEE Software 13(1): 65-71 (1996) |
| 25 | | John P. Hudepohl,
Stephen J. Aud,
Taghi M. Khoshgoftaar,
Edward B. Allen,
Jean Mayrand:
Emerald: Software Metrics and Models on the Desktop.
IEEE Software 13(5): 56-60 (1996) |
| 1995 |
|---|
| 24 | | Taghi M. Khoshgoftaar,
Edward B. Allen:
Multivariate assessment of complex software systems: a comparative study.
ICECCS 1995: 389-396 |
| 23 | | Taghi M. Khoshgoftaar,
Robert M. Szabo,
Jeffrey M. Voas:
Detecting program modules with low testability.
ICSM 1995: 242-250 |
| 22 | | Taghi M. Khoshgoftaar,
Abhijit S. Pandya,
David L. Lanning:
Application of Neural Networks for Predicting Program Faults.
Ann. Software Eng. 1: 141-154 (1995) |
| 21 | | Taghi M. Khoshgoftaar,
David L. Lanning:
A neural network approach for early detection of program modules having high risk in the maintenance phase.
Journal of Systems and Software 29(1): 85-91 (1995) |
| 20 | | Khoa D. Huynh,
Taghi M. Khoshgoftaar:
A Performance Analysis of an Object-Based I/O Architecture in a Video Server Environment.
Multimedia Syst. 3(4): 162-177 (1995) |
| 19 | | Khoa D. Huynh,
Taghi M. Khoshgoftaar:
Performance Analysis of a Peer-to-Peer I/O Architecture in Video Server Environments.
Multimedia Tools Appl. 1(3): 217-244 (1995) |
| 1994 |
|---|
| 18 | | David L. Lanning,
Taghi M. Khoshgoftaar:
Canonical Modeling of Software Complexity and Fault Correction Activity.
ICSM 1994: 374-381 |
| 17 | | Taghi M. Khoshgoftaar,
Robert M. Szabo:
Improving Code Churn Predictions During the System Test and Maintenance Phases.
ICSM 1994: 58-67 |
| 16 | | Khoa D. Huynh,
Taghi M. Khoshgoftaar:
A performance analysis of advanced I/O architectures for PC-based network file servers.
Distributed Systems Engineering 1(6): 332- (1994) |
| 15 | | Taghi M. Khoshgoftaar,
Paul W. Oman:
Software Metrics: Charting the Course - Guest Editors' Introduction.
IEEE Computer 27(9): 13-15 (1994) |
| 14 | | David L. Lanning,
Taghi M. Khoshgoftaar:
Modeling the Relationship Between Source Code Complexity and Maintenance Difficulty.
IEEE Computer 27(9): 35-40 (1994) |
| 13 | | Taghi M. Khoshgoftaar,
John C. Munson,
David L. Lanning:
Alternative approaches for the use of metrics to order programs by complexity.
Journal of Systems and Software 24(3): 211-221 (1994) |
| 12 | | Khoa D. Huynh,
Taghi M. Khoshgoftaar:
Performance Analysis of Advanced I/O Architectures for PC-Based Video Servers.
Multimedia Syst. 2(1): 36-50 (1994) |
| 11 | | Khoa D. Huynh,
Taghi M. Khoshgoftaar:
A Performance Analysis of Personal Computers in a Video Conferencing Environment.
Multimedia Syst. 2(3): 103-117 (1994) |
| 1993 |
|---|
| 10 | | Khoa D. Huynh,
Taghi M. Khoshgoftaar:
A Performance Analysis of the IBM Subsystem Control Block Architecture in a Video Conferencing Environment.
ACM Multimedia 1993: 321-330 |
| 9 | | Taghi M. Khoshgoftaar,
John C. Munson,
David L. Lanning:
A Comparative Study of Predictive Models for Program Changes During System Testing and Maintenance.
ICSM 1993: 72-79 |
| 8 | | John C. Munson,
Taghi M. Khoshgoftaar:
Measurement of data structure complexity.
Journal of Systems and Software 20(3): 217-225 (1993) |
| 1992 |
|---|
| 7 | | John C. Munson,
Taghi M. Khoshgoftaar:
Measuring Dynamic Program Complexity.
IEEE Software 9(6): 48-55 (1992) |
| 6 | | Taghi M. Khoshgoftaar,
John C. Munson,
Bibhuti B. Bhattacharya,
Gary D. Richardson:
Predictive Modeling Techniques of Software Quality from Software Measures.
IEEE Trans. Software Eng. 18(11): 979-987 (1992) |
| 5 | | John C. Munson,
Taghi M. Khoshgoftaar:
The Detection of Fault-Prone Programs.
IEEE Trans. Software Eng. 18(5): 423-433 (1992) |
| 4 | | Khoa D. Huynh,
Eduardo B. Fernández,
Taghi M. Khoshgoftaar:
A workload model for frame-based real-time applications on distributed systems.
Journal of Systems and Software 18(3): 255-271 (1992) |
| 1990 |
|---|
| 3 | | Taghi M. Khoshgoftaar,
John C. Munson:
Predicting Software Development Errors Using Software Complexity Metrics.
IEEE Journal on Selected Areas in Communications 8(2): 253-261 (1990) |
| 2 | | John C. Munson,
Taghi M. Khoshgoftaar:
Applications of a relative complexity metric for software project management.
Journal of Systems and Software 12(3): 283-291 (1990) |
| 1989 |
|---|
| 1 | | John C. Munson,
Taghi M. Khoshgoftaar:
The Dimensionality of Program Complexity.
ICSE 1989: 245-253 |
