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» Using Run-Time Data for Program Comprehension
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PKDD
2004
Springer
324views Data Mining» more  PKDD 2004»
14 years 1 months ago
Orange: From Experimental Machine Learning to Interactive Data Mining
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk
RECOMB
2005
Springer
14 years 8 months ago
Improved Recombination Lower Bounds for Haplotype Data
Recombination is an important evolutionary mechanism responsible for the genetic diversity in humans and other organisms. Recently, there has been extensive research on understandi...
Vineet Bafna, Vikas Bansal
IWPC
2002
IEEE
14 years 24 days ago
Mining System-User Interaction Traces for Use Case Models
While code understanding is the primary program comprehension activity, it is quite challenging to recognize the application requirements from code, since they have usually been o...
Mohammad El-Ramly, Eleni Stroulia, Paul G. Sorenso...
ICS
2010
Tsinghua U.
14 years 20 days ago
Handling task dependencies under strided and aliased references
The emergence of multicore processors has increased the need for simple parallel programming models usable by nonexperts. The ability to specify subparts of a bigger data structur...
Josep M. Pérez, Rosa M. Badia, Jesús...
DAGSTUHL
2001
13 years 9 months ago
Visualizing Memory Graphs
To understand the dynamics of a running program, it is often useful to examine its state at specific moments during its execution. We present memory graphs as a means to capture an...
Thomas Zimmermann, Andreas Zeller