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Gary Boetticher
Gary Boetticher
University of Houston - Clear Lake
Verified email at hughes.net - Homepage
Title
Cited by
Cited by
Year
The PROMISE repository of empirical software engineering data
G Boetticher
http://promisedata. org/repository, 2007
3202007
Molecular phenotyping of severe asthma using pattern recognition of bronchoalveolar lavage–derived cytokines
AR Brasier, S Victor, G Boetticher, H Ju, C Lee, ER Bleecker, M Castro, ...
Journal of Allergy and Clinical Immunology 121 (1), 30-37. e6, 2008
1512008
An assessment of metric contribution in the construction of a neural network-based effort estimator
G Boetticher
Second International Workshop on Soft Computing Applied to Software …, 2001
652001
A neural net-based approach to software metrics
G Boetticher, K Srinivas, DA Eichmann
Research Inst. for Computing and Information Systems, The SoRReL Papers …, 1992
591992
A neural network paradigm for characterizing reusable software
G Boetticher, D Eichmann
Research Institute for Computing and Information Systems, University of …, 1993
561993
Using machine learning to predict project effort: Empirical case studies in data-starved domains
G Boetticher
Proceedings of the First International Workshop on Model-Based Requirements …, 2001
492001
The PROMISE repository of empirical software engineering data, 2007
G Boetticher, T Menzies, T Ostrand
392007
Nearest neighbor sampling for better defect prediction
GD Boetticher
ACM SIGSOFT Software Engineering Notes 30 (4), 1-6, 2005
342005
PROMISE Repository of Empirical Software Engineering Data, West Virginia University, Department of Computer Science, 2007
G Boetticher, T Menzies, T Ostrand
30
Improving credibility of machine learner models in software engineering
GD Boetticher
Advances in Machine Learning Applications in Software Engineering, 52-72, 2007
282007
Building a genetically engineerable evolvable program (GEEP) using breadth-based explicit knowledge for predicting software defects
K Kaminsky, G Boetticher
IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS'04. 1 …, 2004
192004
Teaching financial data mining using stocks and futures contracts
GD Boetticher
Journal of Systemic, Cybernetics and Informatics 3 (3), 26-32, 2006
182006
Using a pre-assessment exam to construct an effective concept-based genetic program for predicting course success
GD Boetticher, W Ding, C Moen, KB Yue
ACM SIGCSE Bulletin 37 (1), 500-504, 2005
152005
Applying machine learners to GUI specifications in formulating early life cycle project estimations
GD Boetticher
Software Engineering with Computational Intelligence, 1-16, 2003
142003
How to predict more with less, defect prediction using machine learners in an implicitly data starved domain
K Kaminsky, G Boetticher
The 8th world multiconference on systemics, cybernetics and informatics …, 2004
122004
Smarter software engineering: Practical data mining approaches
T Menzies, GD Boetticher
27th Annual NASA Goddard Software Engineering Workshop, 2002. Proceedings. 1 …, 2002
102002
When will it be done? the 300 billion dollar question, machine learner answers
G Boetticher
IEEE Intelligent Systems 18 (3), 48-50, 2003
92003
Better software defect prediction using equalized learning with machine learners
K Kaminsky, GD Boetticher
Knowledge Sharing and Collaborative Engineering, 2004
82004
Assessing the reliability of a human estimator
GD Boetticher, N Lokhandwala
Third International Workshop on Predictor Models in Software Engineering …, 2007
72007
Understanding the human estimator
G Boetticher, N Lokhandwala, J Helm
Second International Predictive Models in Software Engineering (PROMISE …, 2006
72006
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