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IWPSE
2007
IEEE
15 years 11 months ago
Improving defect prediction using temporal features and non linear models
Predicting the defects in the next release of a large software system is a very valuable asset for the project manger to plan her resources. In this paper we argue that temporal f...
Abraham Bernstein, Jayalath Ekanayake, Martin Pinz...
IUI
1997
ACM
15 years 9 months ago
The Pedagogical Design Studio: Exploiting Artifact-Based Task Models for Constructivist Learning
Intelligentlearning environments that support constructivism shouldprovideactivelearningexperiencesthatarecustomized for individuallearners. To do so, they must determine learner ...
James C. Lester, Patrick J. Fitzgerald, Brian A. S...
161
Voted
ICCBSS
2005
Springer
15 years 10 months ago
Resolving Architectural Mismatches of COTS Through Architectural Reconciliation
Abstract. The integration of COTS components into a system under development entails architectural mismatches. These have been tackled, so far, at the component level, through comp...
Paris Avgeriou, Nicolas Guelfi
136
Voted
CODES
2001
IEEE
15 years 8 months ago
A trace transformation technique for communication refinement
Models of computation like Kahn and dataflow process networks provide convenient means for modeling signal processing applicahis is partly due to the abstract primitives that thes...
Paul Lieverse, Pieter van der Wolf, Ed F. Deprette...
ML
2000
ACM
244views Machine Learning» more  ML 2000»
15 years 4 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski