An Approach for Quantitative Aggregation of Evidence from Controlled Experiments in Software Engineering
PhD Theses in Experimental Software Engineering, Band 42
Marcus Ciolkowski
Hrsg.: Dieter Rombach, Peter Liggesmeyer, Frank Bomarius; Fraunhofer IESE, Kaiserslautern
2012, 253 S., num. illus. and tab., Softcover
Sprache: Englisch
Kaiserslautern, TU, Diss., 2011
Fraunhofer Verlag
ISBN 978-3-8396-0480-9

zur Open Access Version

Inhalt
Empirical studies are necessary to gain reliable insights into the effects of software engineering technologies and to allow controlling risks associated with their usage.
Recently, many empirical studies have been run in many software engineering areas (e.g., inspections). However, in order to be useful for decision-making, synthesis is required. Synthesis means to analyze, combine, summarize, and generalize the results of empirical studies. However, software engineering lacks a systematic approach for synthesis: Today, most syntheses in software engineering use narrative, informal summaries. These narrative reviews suffer from a number of weaknesses; in particular, they are subjective and thus often incorrect.

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