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An approach for quantitative aggregation of evidence from controlled experiments in software engineering

: Ciolkowski, Marcus
: Rombach, Dieter; Liggesmeyer, Peter; Bomarius, Frank

Volltext urn:nbn:de:0011-n-2236517 (1.4 MByte PDF)
MD5 Fingerprint: cbcd965461cc2829d2c62a58dfa7c607
Erstellt am: 18.12.2013


Stuttgart: Fraunhofer Verlag, 2012, XII, 233 S.
Zugl.: Kaiserslautern, Univ., Diss., 2012
PhD Theses in Experimental Software Engineering, 42
ISBN: 3-8396-0480-X
ISBN: 978-3-8396-0480-9
Dissertation, Elektronische Publikation
Fraunhofer IESE ()
Forscher im (Empirischen) Software Engineering; Projektleiter; Qualitäts- und Prozessverantworliche; empirical software engineering; state of the art; state of the practice; empirical evaluation

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.