Knowledge discovery from software engineering data: 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.