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

 
: Hartkopf, S.; Ruhe, G.

Engels, R.; Friedrich, H.; Wiese, M. ; Gesellschaft für Informatik -GI-, Fachgruppe 1.1.3 Maschinelles Lernen; Univ. Karlsruhe:
10. Fachgruppentreffen Maschinelles Lernen 1997. Beiträge
Karlsruhe, 1997
Ill., Lit.
Fachgruppentreffen Maschinelles Lernen (FGML) <10, 1997, Karlsruhe>
Englisch
Konferenzbeitrag
Fraunhofer IESE ()
analysis; case study; experimental software engineering; goal question metric measurement; interpretation; rough set

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.

: http://publica.fraunhofer.de/dokumente/PX-16252.html