2008 |
8 | EE | Gary D. Boetticher,
Tim Menzies,
Thomas J. Ostrand,
Günther Ruhe:
4th international workshop on predictor models in SE (PROMISE 2008).
ICSE Companion 2008: 1061-1062 |
7 | EE | Gary D. Boetticher,
Jason Rudisill:
Optimizing lineage information in genetic algorithms for producing superior models.
IRI 2008: 314-318 |
6 | EE | 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 |
2006 |
5 | | Gary D. Boetticher,
Kim Kaminsky:
The assessment and application of lineage information in genetic programs for producing better models.
IRI 2006: 141-146 |
2005 |
4 | EE | Gary D. Boetticher,
Wei Ding,
Charles Moen,
Kwok-Bun Yue:
Using a pre-assessment exam to construct an effective concept-based genetic program for predicting course success.
SIGCSE 2005: 500-504 |
3 | EE | Gary D. Boetticher:
Nearest neighbor sampling for better defect prediction.
ACM SIGSOFT Software Engineering Notes 30(4): 1-6 (2005) |
2003 |
2 | EE | Gary D. Boetticher:
When Will It Be Done? Machine Learner Answers to the 300-Billion-Dollar Question.
IEEE Intelligent Systems 18(3): 48-50 (2003) |
1993 |
1 | | Gary D. Boetticher,
K. Srinivas,
David Eichmann:
A Neural Net-Based Approach to Software Metrics.
SEKE 1993: 271-274 |