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ICSM
2008
IEEE
14 years 5 days ago
Supporting software evolution analysis with historical dependencies and defect information
More than 90% of the cost of software is due to maintenance and evolution. Understanding the evolution of large software systems is a complex problem, which requires the use of va...
Marco D'Ambros
MSR
2006
ACM
13 years 11 months ago
Predicting defect densities in source code files with decision tree learners
With the advent of open source software repositories the data available for defect prediction in source files increased tremendously. Although traditional statistics turned out t...
Patrick Knab, Martin Pinzger, Abraham Bernstein
EPEW
2008
Springer
13 years 7 months ago
An Empirical Investigation of the Applicability of a Component-Based Performance Prediction Method
Abstract. Component-based software performance engineering (CBSPE) methods shall enable software architects to assess the expected response times, throughputs, and resource utiliza...
Anne Martens, Steffen Becker, Heiko Koziolek, Ralf...
BMCBI
2006
169views more  BMCBI 2006»
13 years 5 months ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...
ISPASS
2009
IEEE
14 years 17 days ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...