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» Modeling Program Predictability
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124
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MSR
2009
ACM
15 years 9 months ago
Does calling structure information improve the accuracy of fault prediction?
Previous studies have shown that software code attributes, such as lines of source code, and history information, such as the number of code changes and the number of faults in pr...
Yonghee Shin, Robert M. Bell, Thomas J. Ostrand, E...
104
Voted
ICNS
2007
IEEE
15 years 9 months ago
A Theoretical Framework for End-to-End Video Quality Prediction of MPEG-based Sequences
— This paper presents a novel theoretical framework for end-to-end video quality prediction of MPEG-based video sequences. The proposed framework encloses two discrete models: i)...
Harilaos Koumaras, Anastasios Kourtis, Cheng-Han L...
100
Voted
CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
15 years 8 months ago
Artificial Neural Networks to Predict Daylily Hybrids
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
Ramana M. Gosukonda, Masoud Naghedolfeizi, Johnny ...
113
Voted
CHI
2004
ACM
16 years 3 months ago
A constraint satisfaction approach to predicting skilled interactive cognition
In this paper we report a new approach to generating predictions about skilled interactive cognition. The approach, which we call Cognitive Constraint Modeling, takes as input a d...
Alonso H. Vera, Andrew Howes, Michael McCurdy, Ric...
ICCS
2003
Springer
15 years 7 months ago
A Performance Prediction Framework for Scientific Applications
This work presents a performance modeling framework, developed by the Performance Modeling and Characterization (PMaC) Lab at the San Diego Supercomputer Center, that is faster tha...
Laura Carrington, Allan Snavely, Xiaofeng Gao, Nic...