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» A Data Analysis Method for Software Performance Prediction
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ENTCS
2007
101views more  ENTCS 2007»
13 years 7 months ago
Parametric Performance Contracts: Non-Markovian Loop Modelling and an Experimental Evaluation
Even with todays hardware improvements, performance problems are still common in many software systems. An approach to tackle this problem for component-based software architectur...
Heiko Koziolek, Viktoria Firus
ISSRE
2005
IEEE
14 years 28 days ago
A Novel Method for Early Software Quality Prediction Based on Support Vector Machine
The software development process imposes major impacts on the quality of software at every development stage; therefore, a common goal of each software development phase concerns ...
Fei Xing, Ping Guo, Michael R. Lyu
ENTCS
2007
114views more  ENTCS 2007»
13 years 7 months ago
Parametric Performance Contracts for Software Components with Concurrent Behaviour
Performance prediction methods for component-based software systems aim at supporting design decisions of software architects during early development stages. With the increased a...
Jens Happe, Heiko Koziolek, Ralf Reussner
JSS
2008
157views more  JSS 2008»
13 years 7 months ago
Can k-NN imputation improve the performance of C4.5 with small software project data sets? A comparative evaluation
Missing data is a widespread problem that can affect the ability to use data to construct effective prediction systems. We investigate a common machine learning technique that can...
Qinbao Song, Martin J. Shepperd, Xiangru Chen, Jun...
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
13 years 11 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...