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Towards a comprehensive summarization of empirical studies in defect reduction

 
: Jedlitschka, A.; Ciolkowski, M.

International Symposium on Empirical Software Engineering, ISESE 2004. Proceedings. Vol.2 : Poster and Fast Abstract Sessions
Redondo Beach, 2004
S.5-6 : Ill., Lit.
International Symposium on Empirical Software Engineering (ISESE) <3, 2004, Redondo Beach>
Englisch
Konferenzbeitrag
Fraunhofer IESE ()
software engineering; decision support; defect reduction; repository; schema attribute; meta-analysis; technology selection; empirical study

Abstract
In today's software development organizations, methods and tools are employed that frequently lack sufficient evidence regarding their suitability, limits, qualities, costs, and associated risks. Supporting managers in selecting software engineering technologies that, on the one hand, have shown evidence, and, on the other hand, fit their business goal-oriented requirements, is the ambitious aim of software engineering decision support. This paper presents ongoing research towards a summarization of empirical studies alongside the whole software development process. We introduce requirements for reporting empirical studies and for a repository structure that visualizes the relation between different techniques.

: http://publica.fraunhofer.de/dokumente/N-22506.html