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Taghi M. Khoshgoftaar Vis

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*2009
186 Naeem Seliya, Taghi M. Khoshgoftaar: Value-Based Software Quality Modeling. SEKE 2009: 116-121
185 John C. Sloan, Taghi M. Khoshgoftaar, Augusto Varas: An Extendible Translation of BPEL to a Machine-verifiable Model. SEKE 2009: 344-349
184 Pengpeng Lin, Huanjing Wang, Taghi M. Khoshgoftaar: A Novel Hybrid Search Algorithm for Feature Selection. SEKE 2009: 81-86
2008
183 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
182 Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner: A Mixture Imputation-Boosted Collaborative Filter. FLAIRS Conference 2008: 312-316
181 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
180EEChris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: A Comparative Study of Data Sampling and Cost Sensitive Learning. ICDM Workshops 2008: 46-52
179EEChris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: RUSBoost: Improving classification performance when training data is skewed. ICPR 2008: 1-4
178EEXiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu: VoB predictors: Voting on bagging classifications. ICPR 2008: 1-4
177EEXiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner: Using Imputation Techniques to Help Learn Accurate Classifiers. ICTAI (1) 2008: 437-444
176EEChris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: Resampling or Reweighting: A Comparison of Boosting Implementations. ICTAI (1) 2008: 445-451
175EEChris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: Improving Learner Performance with Data Sampling and Boosting. ICTAI (1) 2008: 452-459
174EENaeem Seliya, Zhiwei Xu, Taghi M. Khoshgoftaar: Addressing Class Imbalance in Non-binary Classification Problems. ICTAI (1) 2008: 460-466
173EEAndres 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
172EEAndres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Lofton A. Bullard: Identifying learners robust to low quality data. IRI 2008: 190-195
171EEChris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse: Hybrid sampling for imbalanced data. IRI 2008: 202-207
170EEXiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu: VCI predictors: Voting on classifications from imputed learning sets. IRI 2008: 296-301
169EEXiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Russell Greiner: Imputation-boosted collaborative filtering using machine learning classifiers. SAC 2008: 949-950
168 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
167 John C. Sloan, Taghi M. Khoshgoftaar: Toward Model Checking Web Services Over the Web. SEKE 2008: 519-524
166 Andres Folleco, Taghi M. Khoshgoftaar, Lofton A. Bullard: Analyzing the Impact of Attribute Noise on Software Quality Classification. SEKE 2008: 73-78
165EEXiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner: Imputed Neighborhood Based Collaborative Filtering. Web Intelligence 2008: 633-639
164EETaghi M. Khoshgoftaar, Naeem Seliya: Software Module Risk Analysis. Wiley Encyclopedia of Computer Science and Engineering 2008
163EENaeem Seliya, Taghi M. Khoshgoftaar: Software Quality Modeling as a Reliability Tool. Wiley Encyclopedia of Computer Science and Engineering 2008
162EEJohn C. Sloan, Taghi M. Khoshgoftaar, Venkat Raghav: Assuring Timeliness in an e-Science Service-Oriented Architecture. IEEE Computer 41(8): 56-62 (2008)
161EEXiaoyuan Su, Taghi M. Khoshgoftaar: Collaborative Filtering for Multi-Class Data Using Bayesian Networks. International Journal on Artificial Intelligence Tools 17(1): 71-85 (2008)
160EETaghi 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)
159EEJason 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)
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
157EEJason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: Skewed Class Distributions and Mislabeled Examples. ICDM Workshops 2007: 477-482
156EEXiaoyuan Su, Taghi M. Khoshgoftaar: Arbitrarily-Shaped Window Based Stereo Matching using the Go-Light Optimization Algorithm. ICIP (6) 2007: 556-559
155EEJason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano: Experimental perspectives on learning from imbalanced data. ICML 2007: 935-942
154EEChris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano: Mining Data with Rare Events: A Case Study. ICTAI (2) 2007: 132-139
153EETaghi M. Khoshgoftaar, Moiz Golawala, Jason Van Hulse: An Empirical Study of Learning from Imbalanced Data Using Random Forest. ICTAI (2) 2007: 310-317
152EEXingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, Yong Shi: An Empirical Study of the Noise Impact on Cost-Sensitive Learning. IJCAI 2007: 1168-1174
151EEQiming Luo, Taghi M. Khoshgoftaar: An Empirical Study on Estimating Motions in Video Stabilization. IRI 2007: 360-366
150EEJason Van Hulse, Taghi M. Khoshgoftaar: Incomplete-Case Nearest Neighbor Imputation in Software Measurement Data. IRI 2007: 630-637
149EEYi Liu, Taghi M. Khoshgoftaar, Jenq-Foung Yao: Building a Novel GP-Based Software Quality Classifier Using Multiple Validation Datasets. IRI 2007: 644-650
148EEChris 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
147EEXiaoyuan Su, Taghi M. Khoshgoftaar: A Progressive Edge-Based Stereo Correspondence Method. ISVC (1) 2007: 248-257
146EEXiaoyuan 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-
144EEXiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Xingquan Zhu: Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts. Web Intelligence 2007: 645-649
143EETaghi M. Khoshgoftaar, Kehan Gao: Count Models for Software Quality Estimation. IEEE Transactions on Reliability 56(2): 212-222 (2007)
142EEKehan Gao, Taghi M. Khoshgoftaar: A Comprehensive Empirical Study of Count Models for Software Fault Prediction. IEEE Transactions on Reliability 56(2): 223-236 (2007)
141EETaghi M. Khoshgoftaar, Yi Liu: A Multi-Objective Software Quality Classification Model Using Genetic Programming. IEEE Transactions on Reliability 56(2): 237-245 (2007)
140EENaeem 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)
139EETaghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, Lili Zhao: The multiple imputation quantitative noise corrector. Intell. Data Anal. 11(3): 245-263 (2007)
138EETaghi M. Khoshgoftaar, Pierre Rebours: Improving Software Quality Prediction by Noise Filtering Techniques. J. Comput. Sci. Technol. 22(3): 387-396 (2007)
137EEXingquan Zhu, Taghi M. Khoshgoftaar, Ian Davidson, Shichao Zhang: Editorial: Special issue on mining low-quality data. Knowl. Inf. Syst. 11(2): 131-136 (2007)
136EEJason Van Hulse, Taghi M. Khoshgoftaar, Haiying Huang: The pairwise attribute noise detection algorithm. Knowl. Inf. Syst. 11(2): 171-190 (2007)
135EENaeem 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
134EEXiaoyuan Su, Taghi M. Khoshgoftaar: Collaborative Filtering for Multi-class Data Using Belief Nets Algorithms. ICTAI 2006: 497-504
133EETaghi M. Khoshgoftaar, Kehan Gao: Assessment of a Multi-Strategy Classifier for an Embedded Software System. ICTAI 2006: 651-658
132EETaghi 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)
123EEQiming Luo, Taghi M. Khoshgoftaar: Unsupervised multiscale color image segmentation based on MDL principle. IEEE Transactions on Image Processing 15(9): 2755-2761 (2006)
122EETaghi M. Khoshgoftaar, Kehan Gao, Hua Lin: Indirect classification approaches: a comparative study in network intrusion detection. IJCAT 27(4): 232-245 (2006)
121EETaghi M. Khoshgoftaar, Pierre Rebours: Noise elimination with partitioning filter for software quality estimation. IJCAT 27(4): 246-258 (2006)
120EETaghi M. Khoshgoftaar, Jason Van Hulse: Determining noisy instances relative to attributes of interest. Intell. Data Anal. 10(3): 251-268 (2006)
119EEJason Van Hulse, Taghi M. Khoshgoftaar: Class noise detection using frequent itemsets. Intell. Data Anal. 10(6): 487-507 (2006)
118EETaghi 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)
117EETaghi 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)
116EETaghi 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
114EENaeem Seliya, Taghi M. Khoshgoftaar, Shi Zhong: Analyzing Software Quality with Limited Fault-Proneness Defect Data. HASE 2005: 89-98
113EEShi Zhong, Taghi M. Khoshgoftaar, Shyam Varan Nath: A Clustering Approach to Wireless Network Intrusion Detection. ICTAI 2005: 190-196
112EEZhiwei Xu, Kehan Gao, Taghi M. Khoshgoftaar: Application of fuzzy expert system in test case selection for system regression test. IRI 2005: 120-125
111EEYudong Xiao, Taghi M. Khoshgoftaar, Naeem Seliya: The partitioning- and rule-based filter for noise detection. IRI 2005: 205-210
110EETaghi M. Khoshgoftaar, Jason Van Hulse: Empirical case studies in attribute noise detection. IRI 2005: 211-216
109EEQiming Luo, Taghi M. Khoshgoftaar, Edgar An: Hierarchical indexing of ocean survey video by mean shift clustering and MDL principle. IRI 2005: 404-409
108EETaghi 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)
107EETaghi 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)
106EETaghi 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)
105EETaghi 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)
104EETaghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao: Detecting noisy instances with the rule-based classification model. Intell. Data Anal. 9(4): 347-364 (2005)
103EETaghi M. Khoshgoftaar, Pierre Rebours: Evaluating noise elimination techniques for software quality estimation. Intell. Data Anal. 9(5): 487-508 (2005)
102EETaghi M. Khoshgoftaar, Jason Van Hulse: Identifying noisy features with the Pairwise Attribute Noise Detection Algorithm. Intell. Data Anal. 9(6): 589-602 (2005)
101EETaghi M. Khoshgoftaar, Naeem Seliya, Angela Herzberg: Resource-oriented software quality classification models. Journal of Systems and Software 76(2): 111-126 (2005)
2004
100EEShi Zhong, Taghi M. Khoshgoftaar, Naeem Seliya: Unsupervised Learning for Expert-Based Software Quality Estimation. HASE 2004: 149-155
99EETaghi M. Khoshgoftaar, Mohamed E. Abushadi: Resource-Sensitive Intrusion Detection Models for Network Traffic. HASE 2004: 249-258
98EEYi Liu, Taghi M. Khoshgoftaar: Reducing Overfitting in Genetic Programming Models for Software Quality Classification. HASE 2004: 56-65
97EENaeem Seliya, Taghi M. Khoshgoftaar, Shi Zhong: Semi-Supervised Learning for Software Quality Estimation. ICTAI 2004: 183-190
96EEQiming Luo, Taghi M. Khoshgoftaar: Efficient Image Segmentation by Mean Shift Clustering and MDL-Guided Region Merging. ICTAI 2004: 337-343
95EEWei Tang, Taghi M. Khoshgoftaar: Noise Identification with the k-Means Algorithm. ICTAI 2004: 373-378
94EETaghi M. Khoshgoftaar, Naeem Seliya: The Necessity of Assuring Quality in Software Measurement Data. IEEE METRICS 2004: 119-130
93EETaghi 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)
87EETaghi M. Khoshgoftaar, Naeem Seliya: Comparative Assessment of Software Quality Classification Techniques: An Empirical Case Study. Empirical Software Engineering 9(3): 229-257 (2004)
86EEZhiwei Xu, Taghi M. Khoshgoftaar: Identification of fuzzy models of software cost estimation. Fuzzy Sets and Systems 145(1): 141-163 (2004)
85EEShi Zhong, Taghi M. Khoshgoftaar, Naeem Seliya: Analyzing Software Measurement Data with Clustering Techniques. IEEE Intelligent Systems 19(2): 20-27 (2004)
84EETaghi 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
83EEYi Liu, Taghi M. Khoshgoftaar: Building Decision Tree Software Quality Classification Models Using Genetic Programming. GECCO 2003: 1808-1809
82EETaghi 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
81EETaghi M. Khoshgoftaar, Yi Liu, Naeem Seliya: Genetic Programming-Based Decision Trees for Software Quality Classification. ICTAI 2003: 374-383
80EETaghi 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
79EETaghi M. Khoshgoftaar, Erik Geleyn, Laurent A. Nguyen: Empirical Case Studies of Combining Software Quality Classification Models. QSIC 2003: 40-
78EETaghi M. Khoshgoftaar, Naeem Seliya: Fault Prediction Modeling for Software Quality Estimation: Comparing Commonly Used Techniques. Empirical Software Engineering 8(3): 255-283 (2003)
77EETaghi M. Khoshgoftaar, Naeem Seliya: Analogy-Based Practical Classification Rules for Software Quality Estimation. Empirical Software Engineering 8(4): 325-350 (2003)
76EEZhiwei 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)
75EETaghi 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)
74EETaghi M. Khoshgoftaar, Edward B. Allen: Ordering Fault-Prone Software Modules. Software Quality Journal 11(1): 19-37 (2003)
73EETaghi M. Khoshgoftaar: Introduction to the Special Issue on Quality Engineering with Computational Intelligence. Software Quality Journal 11(2): 85-86 (2003)
2002
72EETaghi M. Khoshgoftaar, Erik Geleyn, Laurent A. Nguyen, Lofton A. Bullard: Cost-Sensitive Boosting In Software Quality Modeling. HASE 2002: 51-62
71EETaghi M. Khoshgoftaar, Naeem Seliya: Software Quality Classification Modeling Using The SPRINT Decision Tree Algorithm. ICTAI 2002: 365-374
70EETaghi 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
69EETaghi M. Khoshgoftaar, Naeem Seliya: Tree-Based Software Quality Estimation Models For Fault Prediction. IEEE METRICS 2002: 203-
68EEAli Idri, Alain Abran, Taghi M. Khoshgoftaar: Estimating Software Project Effort by Analogy Based on Linguistic Values. IEEE METRICS 2002: 21-
67EETaghi 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)
65EETaghi 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-
63EEEdward B. Allen, Taghi M. Khoshgoftaar, Ye Chen: Measuring Coupling and Cohesion of Software Modules: An Information-Theory Approach. IEEE METRICS 2001: 124-134
62EETaghi M. Khoshgoftaar, Edward B. Allen, Jianyu Deng: Controlling Overfitting in Software Quality Models: Experiments with Regression Trees and Classification. IEEE METRICS 2001: 190-198
61EETaghi M. Khoshgoftaar, Kehan Gao, Robert M. Szabo: An Application of Zero-Inflated Poisson Regression for Software Fault Prediction . ISSRE 2001: 66-73
60EEZhiwei 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)
58EETaghi 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)
57EETaghi M. Khoshgoftaar, Edward B. Allen: Empirical Assessment of a Software Metric: The Information Content of Operators. Software Quality Journal 9(2): 99-112 (2001)
56EETaghi 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
55EETaghi M. Khoshgoftaar, Edward B. Allen, Jason C. Busboom: Modeling software quality: the Software Measurement Analysis and Reliability Toolkit. ICTAI 2000: 54-61
54EETaghi M. Khoshgoftaar, Ruqun Shan, Edward B. Allen: Improving Tree-Based Models of Software Quality with Principal Components Analysis. ISSRE 2000: 198-209
53EETaghi 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
49EEWendell 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
46EETaghi M. Khoshgoftaar, Edward B. Allen: Predicting Fault-Prone Software Modules in Embedded Systems with Classification Trees. HASE 1999: 105-
45EETaghi 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-
44EEEdward B. Allen, Taghi M. Khoshgoftaar: Measuring Coupling and Cohesion: An Information-Theory Approach. IEEE METRICS 1999: 119-
43EETaghi M. Khoshgoftaar, Edward B. Allen, Xiaojing Yuan, Wendell D. Jones, John P. Hudepohl: Assessing Uncertain Predictions of Software Quality. IEEE METRICS 1999: 159-
42EENorman 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)
40EETaghi 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)
39EETaghi 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)
38EETaghi 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
37EETaghi 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
36EEDonald F. Schenker, Taghi M. Khoshgoftaar: The Application of Fuzzy Enhanced Case-Based Reasoning for Identifying Fault-Prone Modules. HASE 1998: 90-97
35EEWendell 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
34EETaghi M. Khoshgoftaar, Edward B. Allen: Can a Software Quality Model Hit a Moving Target? ICSM 1998: 68-70
33EETaghi 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
31EETaghi M. Khoshgoftaar, Edward B. Allen, Robert Halstead, Gary P. Trio, Ronald M. Flass: Process Measures for Predicting Software Quality. HASE 1997: 155-
30EETaghi 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
28EETaghi 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-
27EETaghi 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
26EETaghi M. Khoshgoftaar, Edward B. Allen, Kalai Kalaichelvan, Nishith Goel: Early Quality Prediction: A Case Study in Telecommunications. IEEE Software 13(1): 65-71 (1996)
25EEJohn 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
24EETaghi M. Khoshgoftaar, Edward B. Allen: Multivariate assessment of complex software systems: a comparative study. ICECCS 1995: 389-396
23EETaghi 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)
21EETaghi 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
16EEKhoa 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)
13EETaghi 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
8EEJohn 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)
6EETaghi 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)
5EEJohn C. Munson, Taghi M. Khoshgoftaar: The Detection of Fault-Prone Programs. IEEE Trans. Software Eng. 18(5): 423-433 (1992)
4EEKhoa 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)
2EEJohn 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

Coauthor Index

1Alain Abran [68]
2Mohamed E. Abushadi [99]
3Edward B. Allen [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [37] [38] [39] [40] [41] [43] [44] [45] [46] [47] [48] [49] [50] [51] [52] [53] [54] [55] [56] [57] [58] [59] [62] [63] [66] [74] [76]
4Edgar An [109]
5Stephen J. Aud [25]
6Justin Beyer [181]
7Bibhuti B. Bhattacharya [6]
8Lofton A. Bullard [28] [72] [82] [127] [166] [172] [173]
9Jason C. Busboom [55]
10Ye Chen [63]
11Pei-der Chien [47] [48]
12Bojan Cukic [65]
13Ian Davidson [137]
14Jianyu Deng [62]
15Dennis J. Drown [168]
16Matthew P. Evett [47] [48]
17Eduardo B. Fernández [4]
18Ronald M. Flass [31] [32]
19Andres Folleco [127] [129] [145] [146] [148] [166] [172] [173]
20K. Ganesan [50]
21Kehan Gao [61] [70] [80] [82] [90] [92] [104] [105] [107] [108] [112] [122] [133] [142] [143]
22Erik Geleyn [70] [72] [79]
23Nishith Goel [26]
24Moiz Golawala [153]
25Russell Greiner [144] [165] [169] [177] [182]
26Robert Halstead [27] [28] [31] [32]
27Angela Herzberg [101] [116]
28Haiying Huang [136]
29John P. Hudepohl [25] [37] [38] [39] [40] [43] [45] [49] [52] [56] [58] [66]
30Jason Van Hulse [102] [110] [119] [120] [125] [126] [127] [128] [132] [136] [139] [145] [148] [150] [153] [154] [155] [157] [159] [171] [172] [173] [175] [176] [179] [180] [183]
31Khoa D. Huynh [4] [10] [11] [12] [16] [19] [20]
32Nawal H. Ibrahim [105]
33Ali Idri [68]
34Wendell D. Jones [35] [37] [38] [39] [40] [42] [43] [45] [49] [52] [56] [58] [66]
35Vedang H. Joshi [89] [106] [118]
36Kalai Kalaichelvan [26]
37David L. Lanning [9] [13] [14] [18] [21] [22] [29]
38Hua Lin [122]
39Pengpeng Lin [184]
40Yi Liu [64] [81] [83] [84] [93] [98] [130] [141] [149]
41Qiming Luo [96] [109] [123] [129] [151]
42Jean Mayrand [25]
43John C. Munson [1] [2] [3] [5] [6] [7] [8] [9] [13] [35]
44Archana Naik [37] [40]
45Amri Napolitano [154] [155] [157] [175] [176] [179] [180] [183]
46Shyam Varan Nath [113]
47Laurent A. Nguyen [72] [79] [80]
48Paul W. Oman [15] [42]
49Abhijit S. Pandya [22]
50T. Troy Pearse [35]
51Venkat Raghav [162]
52Jayanth Rajeevalochanam [80]
53Pierre Rebours [91] [103] [121] [124] [138]
54Gary D. Richardson [6]
55Donald F. Schenker [36]
56Norman F. Schneidewind [42]
57Chris Seiffert [125] [128] [131] [132] [139] [145] [148] [154] [158] [160] [171] [175] [176] [179] [180] [183]
58Naeem Seliya [65] [69] [71] [75] [77] [78] [81] [84] [85] [87] [88] [92] [93] [94] [97] [100] [101] [104] [108] [111] [114] [116] [117] [118] [131] [135] [140] [158] [160] [163] [164] [168] [174] [186]
59Chinar C. Shah [181]
60Ruqun Shan [54]
61Yong Shi [152]
62Mei-Ling Shyu [115]
63John C. Sloan [162] [167] [185]
64George E. Stark [35] [42]
65Xiaoyuan Su [134] [144] [146] [147] [156] [161] [165] [169] [170] [177] [178] [182]
66Nandini Sundaresh [117]
67Robert M. Szabo [17] [23] [61] [107]
68Wei Tang [95]
69Vishal Thaker [53]
70Gary P. Trio [27] [28] [31] [32]
71Augusto Varas [185]
72Jeffrey M. Voas [23]
73Huanjing Wang [184]
74Xindong Wu [152]
75Yudong Xiao [90] [111]
76Zhiwei Xu [60] [76] [86] [112] [174]
77Jenq-Foung Yao [130] [149]
78Xiaojing Yuan [43] [45] [51] [66]
79Du Zhang [115]
80Shichao Zhang [137]
81Lili Zhao [128] [139]
82Shi Zhong [85] [97] [100] [106] [113] [114]
83Xingquan Zhu [137] [144] [146] [152] [169] [170] [178] [181]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)