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GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
15 years 7 months ago
Extracting Test Sequences from a Markov Software Usage Model by ACO
The aim of the paper is to investigate methods for deriving a suitable set of test paths for a software system. The design and the possible uses of the software system are modelled...
Karl Doerner, Walter J. Gutjahr
CSEE
2004
Springer
15 years 7 months ago
Teaching Domain Testing: A Status Report
Domain testing is a stratified sampling strategy for choosing a few test cases from the near infinity of candidate test cases. The strategy goes under several names, such as equiv...
Cem Kaner
CASES
2007
ACM
15 years 6 months ago
A fast and generic hybrid simulation approach using C virtual machine
Instruction Set Simulators (ISSes) are important tools for cross-platform software development. The simulation speed is a major concern and many approaches have been proposed to i...
Lei Gao, Stefan Kraemer, Rainer Leupers, Gerd Asch...
139
Voted
IUI
2000
ACM
15 years 6 months ago
Learning to recommend from positive evidence
In recent years, many systems and approaches for recommending information, products or other objects have been developed. In these systems, often machine learning methods that nee...
Ingo Schwab, Wolfgang Pohl, Ivan Koychev
FLAIRS
2007
15 years 4 months ago
Context-Sensitive MTL Networks for Machine Lifelong Learning
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
Daniel L. Silver, Ryan Poirier