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  4. An approach for quantitative aggregation of evidence from controlled experiments in software engineering
 
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2012
Doctoral Thesis
Title

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

Abstract
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.
Thesis Note
Zugl.: Kaiserslautern, Univ., Diss., 2012
Author(s)
Ciolkowski, Marcus
Person Involved
Rombach, Dieter  
Liggesmeyer, Peter  
Bomarius, Frank  
Publisher
Fraunhofer Verlag  
Publishing Place
Stuttgart
DOI
10.24406/publica-fhg-279484
File(s)
001.pdf (1.47 MB)
Rights
Under Copyright
Language
English
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Keyword(s)
  • Forscher im (Empirischen) Software Engineering

  • Projektleiter

  • Qualitäts- und Prozessverantworliche

  • empirical software engineering

  • state of the art

  • state of the practice

  • empirical evaluation

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