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» Using a neural network in the software testing process
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CIKM
2010
Springer
15 years 3 months ago
Towards a provenance framework for sub-image processing for astronomical data
While there has been advances in observational equipment that generate huge high quality images, the processing of these images remains a major bottleneck. We show that provenance...
Johnson Mwebaze, John McFarland, Danny Booxhorn, E...
COMPCON
1996
IEEE
15 years 8 months ago
Architecture of a Broadband MediaProcessor
A broadband mediaprocessor is a general-purpose computer system which reaches the goal of communicating and processing at broadband rates using compiled software rather than speci...
Craig Hansen
ICSE
2005
IEEE-ACM
16 years 4 months ago
Validation methods for calibrating software effort models
COCONUT calibrates effort estimation models using an exhaustive search over the space of calibration parameters in a COCOMO I model. This technique is much simpler than other effo...
Tim Menzies, Daniel Port, Zhihao Chen, Jairus Hihn...
FLAIRS
2007
15 years 6 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
SAC
2004
ACM
15 years 9 months ago
A relational approach to software metrics
There is still no standardization of software measures and metrics extraction tools have to be updated frequently to handle the changes. A possible solution is represented by usin...
Marco Scotto, Alberto Sillitti, Giancarlo Succi, T...