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ESEM
2007
ACM
13 years 9 months ago
An Approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method
The quality of software measurement data affects the accuracy of project manager’s decision making using estimation or prediction models and the understanding of real project st...
Kyung-A Yoon, Oh-Sung Kwon, Doo-Hwan Bae
ICDE
2007
IEEE
96views Database» more  ICDE 2007»
13 years 11 months ago
Mining Software Data
Data mining techniques and machine learning methods are commonly used in several disciplines. It is possible that they could also provide a basis for quality assessment of softwar...
Burak Turhan, F. Onur Kutlubay
WCRE
2010
IEEE
13 years 6 months ago
Evaluating the Impact of Software Evolution on Software Clustering
—The evolution of a software project is a rich data source for analyzing and improving the software development process. Recently, several research groups have tried to cluster s...
Fabian Beck, Stephan Diehl
DSN
2000
IEEE
13 years 11 months ago
On the Emulation of Software Faults by Software Fault Injection
This paper presents an experimental study on the emulation of software faults by fault injection. In a first experiment, a set of real software faults has been compared with fault...
Henrique Madeira, Diamantino Costa, Marco Vieira
COMPSAC
2003
IEEE
14 years 1 months ago
Sensitivity Analysis of Software Reliability for Component-Based Software Applications
The parameters in these software reliability models are usually directly obtained from the field failure data. Due to the dynamic properties of the system and the insufficiency of...
Jung-Hua Lo, Chin-Yu Huang, Sy-Yen Kuo, Michael R....