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» A Data Analysis Method for Software Performance Prediction
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ICSE
2009
IEEE-ACM
14 years 3 months ago
Using quantitative analysis to implement autonomic IT systems
The software underpinning today’s IT systems needs to adapt dynamically and predictably to rapid changes in system workload, environment and objectives. We describe a software f...
Radu Calinescu, Marta Z. Kwiatkowska
SGAI
2005
Springer
14 years 1 months ago
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
This paper presents the results of an investigation into the use of machine learning methods for the identification of narcotics from Raman spectra. The classification of spectr...
Tom Howley, Michael G. Madden, Marie-Louise O'Conn...
XPU
2007
Springer
14 years 2 months ago
Predicting Software Defect Density: A Case Study on Automated Static Code Analysis
The number of defects is an important indicator of software quality. Agile software development methods put an explicit requirement on automation and permanently low defect rates. ...
Artem Marchenko, Pekka Abrahamsson
ICDM
2008
IEEE
110views Data Mining» more  ICDM 2008»
14 years 2 months ago
Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data
Class imbalance is a ubiquitous problem in supervised learning and has gained wide-scale attention in the literature. Perhaps the most prevalent solution is to apply sampling to t...
David A. Cieslak, Nitesh V. Chawla
RE
2002
Springer
13 years 8 months ago
Automating Speculative Queries through Event-Based Requirements Traceability
Posing speculative questions about a software system is an important yet often unsupported activity. Current impact analysis techniques tend to focus upon the functionality of the...
Jane Cleland-Huang, Carl K. Chang, Gaurav Sethi, K...