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Publications
Updated April 5, 2021

Journal Publications (6)

Gary D. Boetticher, GŁnther Ruhe (Eds.): Special Section on Best Papers PROMISE 2009. Information & Software Technology 52(11): 1229 (2010)

Allan R. Brasier MD, Sundar Victor M.S., Gary Boetticher Ph.D., Hyunsu Ju Ph.D., Chang Lee M.S., Eugene R. Bleecker MD, Mario Castro MD, William W. Busse MD, and William J. Calhoun MD, Molecular phenotyping of severe asthma using pattern recognition of bronchoalveolar lavage-derived cytokines, To appear in The Journal of Allergy and Clinical Immunology, 2007.

Boetticher, G.D., Teaching Financial Data Mining using Stocks and Futures Contracts, To appear in the Journal of  Systemics, Cybernetics and Informatics (10% acceptance rate), International Institute of Informatics and Systemics, 2006.

Boetticher, G.D., Al-Mubaid, H., Karen Frasier-Scott, "A Recursive Application of a Support Vector Machine for Protein Spot Detection in 2-Dimensional Gel Electrophoresis," Journal of Computer Science, 1(3): 355-362, 2005.

Boetticher, G., When Will it Be Done? The 300 Billion Dollar Question, Machine Learner Answers, IEEE Intelligent Systems, June 2003.

Boetticher, G., "Why is it so Difficult to Measure Software Quality? Challenges and Solutions," The Journal of the Quality Assurance Institute, July 1996.

Research Paper: Chapter (2)

 

Boetticher, G.D., “Improving Credibility of Machine Learner Models in Software Engineering,” To appear in Advanced Machine Learner Applications in Software Engineering, Series on Software Engineering and Knowledge Engineering - Vol. XX, Du Zhang (California State University, USA) & Jeffrey J P Tsai (University of Illinois, Chicago) Eds., World Scientific, 2006.

 

Boetticher, G., "Applying Machine Learners to GUI Specifications in Formulating Early Life Cycle Project Estimations," Computational Intelligence in Software Engineering, Annals of Software Engineering, Taghi M. Khoshgoftaar Ed., Kluwer Academic Publishers, 2003. ISBN 1-4020-7427-1

 

International Conferences (16)

 

Gary D. Boetticher, "Engineering Financial Engineering," 2014 IEEE Conference on Computational Intelligence (CIFEr), London, March 2014.

 

Boetticher, G., From Software Engineer to Day Trader in 3 Easy Steps:  A Comparison of Software Engineering (SE) Data Mining with Financial Data Mining. First International Conference on  Predictive Models in Software Engineering (PROMISE) co-located at the 31st International Conference in Software Engineering (ICSE), Vancouver, Canada, May, 2009. Presented paper.

 

Gary D. Boetticher, Tim Menzies, Thomas J. Ostrand, GŁnther Ruhe: 4th international workshop on predictor models in SE (PROMISE 2008). ICSE Companion 2008: 1061-1062

 

Stuart Harvey Rubin, Shu-Ching Chen, Lotfi A. Zadeh, Hojjat Adeli, Mohammad Rifaie, Gordon K. Lee, Kang Zhang, Reda Alhajj, Gary D. Boetticher, Du Zhang: Panel: The role of information search and retrieval in economic stimulation. IRI 2008.

 

Boetticher, G., J. Rudisill, "Optimizing Lineage Information in Genetic Algorithms for Producing Superior Models" IEEE Information Reuse and Integration Conference 2008 (IRI), Las Vegas, July, 2008.

 

Boetticher, G., K. Kaminsky, "The Assessment and Application of Lineage Information in Genetic Programs for Producing Better Models," IEEE Information Reuse and Integration Conference 2006 (IRI), September, 2006. Presented Paper

 

Abraham, S., G. Boetticher, “A Global Guide to Certification for IT Managers,” The Instrumentation, Systems, and Automation Society Conference and Expo, Chicago, Illinois, October, 2005.

 

Boetticher, G., Ding, W., Moen, C., Kwok-Bun Yue, "Using a Pre-Assessment Exam to Construct an Effective Concept-Based Grade Predicting Genetic Program," ACM SIGCSE, St. Louis, Missouri, 2005.

 

Kaminsky, K., Gary D. Boetticher, "Better Software Defect Prediction Using Equalized Learning with Machine Learners," The IASTED International Conference on Knowledge Sharing and Collaborative Engineering, U.S. Virgin Islands, November, 2004. Presented Paper.

 

Boetticher, G., "The GDB Cup: Applying "Real World" Financial Data Mining in an Academic Setting," The 8th World Multi-Conference on Systemics, Cybernetics and Informatics, Orlando, Fla., 2004. Presented Paper. (BEST PAPER AWARD)

 

Kaminsky, K., Gary Boetticher, "How to Predict More with Less, Defect Prediction Using Machine Learners in an Implicitly Data Starved Domain," The 8th World Multi-Conference on Systemics, Cybernetics and Informatics, Orlando, Fla., 2004. Presented Paper. (BEST PAPER AWARD)

 

Kaminsky, K., Gary Boetticher, "Building a Genetically Engineerable Evolvable Program (GEEP) Using Breadth-Based Explicit Knowledge for Predicting Software Defects," North American Fuzzy Information Processing Society (NAFIPS), Banff, Canada, 2004. Presented Paper.

 

Menzies, T., Gary Boetticher, "Data Mining for Smarter Project Management," The 15th International Conference on Software Engineering and Knowledge Engineering, San Francisco, California, June, 2003.

 

Boetticher, G., "Measuring Reuse ROI: Trends, Traps, and Tricks," Warehouse Repository Architecture Development The International User Group Conference, Chicago Ill., 1996.

 

Boetticher, G. and Eichmann, D, "A Neural Net Paradigm for Characterizing Reusable Software," Proceedings of the First Australian Conference on Software Metrics, 1993, pages 41-49. Presented paper.

 

Boetticher, G., K. Srinivas, and Eichmann, D., "A Neural Net-Based Approach to Software Metrics," Proceedings of the Fifth International Conference on Software Engineering and Knowledge Engineering, San Francisco, CA, June 16-18, 1993, pages 271-274. Presented paper.

 

International Workshops (9)

 

Boetticher, G., Nazim Lokhandwala, "Using Correlation and Accuracy for Identifying Good Estimators," Fourth International Predictive Models in Software Engineering (PROMISE) Workshop as part of the International Conference on Software Engineering, Leipzig, Germany, May, 2008. Presented Paper

 

Boetticher, G., Nazim Lokhandwala, “Assessing the Reliability of the Human Estimator,” Third International Predictive Models in Software Engineering (PROMISE) Workshop as part of the International Conference on Software Engineering, Minneapolis, MN, May, 2007.

 

Boetticher, G., Lokhandwala, N., James C. Helm, “Understanding the Human Estimator,” Second International Predictive Models in Software Engineering (PROMISE) Workshop co-located at the 22nd IEEE International Conference on Software Maintenance, Philadelphia, PA, September, 2006. Presented Paper

 

Boetticher, G., "Nearest Neighbor Sampling for Better Defect Prediction," Predictive Models in Software Engineering (PROMISE) Workshop, International Conference in Software Engineering (ICSE), St. Louis, 2005. Presented Paper

 

Menzies, T., Gary Boetticher, "Smarter Software Engineering: Practical Data Mining Approaches," The 27th Annual IEEE/NASA Software Engineering Workshop, Greenbelt, Maryland, December, 2002.

 

Menzies, T., Gary Boetticher, "Practical Machine Learning for Software Engineering," The Eighteenth National Conference on Artificial Intelligence, Edmonton, Alberta, Canada, July, 2002.

 

Boetticher, G., "Using Machine Learning to Predict Project Effort: Empirical Case Studies in Data-Starved Domains," Model Based Requirements Workshop, San Diego, 2001, Pp. 17 - 24. Presented Paper.

  

Boetticher, G., "An Assessment of Metric Contribution in the Construction of a Neural Network-Based Effort Estimator," Second International Workshop on Soft Computing Applied to Software Engineering, 2001. Presented Paper.

 

Boetticher, G., "Characterizing Object-Oriented Software for Reusability in a Commercial Environment," Successes in Software Reuse Workshop, Morgantown, WV, August 1995.

 

Books (2)

 

Boetticher, G., Introduction to LOTUS, 1989, pages 1-147.

 

Boetticher, G., Microcomputer Application Software 1988, pages 1-302.

 

Local Conferences (7)

 

Calhoun, J., Desai, P., Godara, R., Gary D. Boetticher, “Comparative Analysis of Data Mining Techniques for Predicting Breast Cancer,” Computer Applications Conference 2005, Houston, Texas, May, 2005.

 

Le, L, Zhu, H., Nguyen, S., Gary D. Boetticher, “A Census-based Personal Income Predictor,” Computer Applications Conference 2005, Houston, Texas, May, 2005.

 

Satewar, R., Tran, S., Tsui, W., Gary D. Boetticher, “Seeing Clearly through Broken Glass: Machine Learning-Based Forensic Science,” Computer Applications Conference 2005, Houston, Texas, May, 2005.

 

Saxena, S., Perguson, R., Dowdy, R., Gary D. Boetticher, “CRM – Based Prediction of Insurance Policy Behavior,” Computer Applications Conference 2005, Houston, Texas, May, 2005.

 

Davis, G., Gary Boetticher, "Associating Software Metrics with Software Coding Standards," Computer Applications Conference 2004, Houston, Texas, May, 2004.

 

Kaminsky, K., Gary Boetticher, "Building a Genetically Engineerable Evolvable Program (GEEP) Using Breadth-Based Explicit Knowledge for Predicting Software Defects," Computer Applications Conference 2004, Houston, Texas, May, 2004.

 

Kaminsky, K., Gary Boetticher, "Improving Software Quality Prediction through Equalized Learning Using Machine Learners," Computer Applications Conference 2004, Houston, Texas, May, 2004.

 

Other (7)

 

Boetticher G., "Financial Data Mining: You only need to get rich once.," Scholarly Lecture Series, University of Houston - Clear Lake, September, 2008.

 

Boetticher G., Opening Presentation, Fourth International Predictive Models in Software Engineering (PROMISE) Workshop as part of the International Conference on Software Engineering, Leipzig, Germany, May, 2008. Presented Paper

 

Boetticher, G., Financial Data Mining: What to do with the money you bring home from Vegas, M2006 - The Ninth Annual Data Mining Conference, SAS Corporation, Las Vegas, Nevada, 2006. (Invited Presentation)

 

Scott R. Abraham and Gary D. Boetticher, Project management certification gains strength, InTech Magazine, The Instrumentation, Systems, and Automation Society,  June, 2006.

 

Boetticher, G., Kim Kaminsky, “The Impact of Chromosome Lineage upon Genetic Program Modeling.” International Space Systems Annual Report, 2004.

 

Boetticher, G., Kim Kaminsky, "Optimization of Genetically Engineerable Evolvable Programs (GEEP) for Improved Data Understanding," International Space Systems Annual Report, 2003.

 

Boetticher, G., Al-Mubaid, H., Karen Frasier-Scott, "Automated Hybridization of Machine Learners for Recursive Spot Identification, Optimization, and Gel Matching of 2-Dimensional Gel Electrophoresis," International Space Systems Annual Report, 2003.

 

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