Aggregation Process with Multiple Evidence Levels for Experimental Studies in Software Engineering
نویسنده
چکیده
Current meta-analysis-based procedures for aggregating experimental studies borrowed from other branches of science have proved not to be suitable for real-world software engineering. This paper presents an alternative aggregation process to the standard. It is based on an aggregation strategy with multiple evidence levels. Each evidence level is linked to a specific aggregation technique which is assigned depending on the quality and quantity of identified experimental studies.
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