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1997
Conference Paper
Titel
Knowledge discovery from software engineering data
Titel Supplements
Rough set analysis and Its interaction with goal-oriented measurement
Abstract
Knowledge discovery from software engineering measurement data is an essential prerequisite for software quality improvement. Software measurement is increasingly recognized as a device to better understand, monitor, predict, and improve software development and maintenance projects. The paper describes the interaction between goal-oriented measurement and rough set based analysis in the context of experimental software engineering. The gained experiences are based on the application of rough set analysis in practical problems of software engineering.
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