• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Goal-Oriented Learning in Experimental Software Engineering by Using Rough Sets
 
  • Details
  • Full
Options
1997
Conference Paper
Title

Goal-Oriented Learning in Experimental Software Engineering by Using Rough Sets

Abstract
Rough set theory is a foundation for a series of analysis methods which has been successfully applied in many real-life problems of various areas. Main focus of the approach is to explain experimental data by establishing cause-effect relationships. We have applied the approach in the context of experimental software engineering to support analysis and interpretation of measurement data within interactive feedback sessions. Measurement was performed following the Goal/Question/Metric-approach. As a case study, we report experiences from a project at Allianz Lebensversicherungs-AG devoted to better understanding of and subsequent improvement of flexibility in software development. Experiences are reported from both application and methodological point of view.
Author(s)
Hartkopf, S.
Ruhe, G.
Mainwork
10. Fachgruppentreffen Maschinelles Lernen 1997. Beiträge  
Conference
Fachgruppentreffen Maschinelles Lernen (FGML) 1997  
Language
English
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Keyword(s)
  • analysis

  • case study

  • experimental software engineering

  • goal question metric measurement

  • interpretation

  • rough set

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024