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» An Empirical Study of Regression Test Selection Techniques
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ISESE
2003
IEEE
14 years 2 months ago
Observational Studies to Accelerate Process Experience in Classroom Studies: An Evaluation
Software Engineering studies run in classroom environments can and have made important contributions to empirical software engineering. Because the goal of such studies is to impr...
Jeffrey Carver, Forrest Shull, Victor R. Basili
IEEEPACT
2006
IEEE
14 years 3 months ago
An empirical evaluation of chains of recurrences for array dependence testing
Code restructuring compilers rely heavily on program analysis techniques to automatically detect data dependences between program statements. Dependences between statement instanc...
Johnnie Birch, Robert A. van Engelen, Kyle A. Gall...
PRIB
2010
Springer
123views Bioinformatics» more  PRIB 2010»
13 years 7 months ago
Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family
We studied 1372 LacI-family transcription factors and their 4484 DNA binding sites using machine learning algorithms and feature selection techniques. The Naive Bayes classifier a...
Gennady G. Fedonin, Mikhail S. Gelfand
KDD
1994
ACM
117views Data Mining» more  KDD 1994»
14 years 1 months ago
Application of the TETRAD II Program to the Study of Student Retention in U.S. Colleges
We applied TETRAD II, a causal discovery program developed in Carnegie Mellon University's Department of Philosophy, to a database containing information on 204 U.S. colleges...
Marek J. Druzdze, Clark Glymour
DKE
2007
88views more  DKE 2007»
13 years 9 months ago
Regression analysis for massive datasets
In this paper, a two-stage block hypothesis testing following the idea of Fan, Lin and Cheng (2004) is proposed for massive data regression analysis. Variables selection criteria ...
Tsai-Hung Fan, Dennis K. J. Lin, Kuang-Fu Cheng