Abstract Context: Families of experiments (i.e., groups of experiments with the same goal) are on the rise in Software Engineering (SE). Selecting unsuitable aggregation techniques to analyze families may undermine their potential to provide in-depth insights from experiments’ results
Program analysis techniques analyze software systems to collect, deduce, or infer information about ...
Context: Empirical Software Engineering (ESE) replication researchers need to store and manipulate e...
One of the main challenges in empirical software engineering today lies in the aggregation of eviden...
Abstract Context: Experiments are commonplace in software engineering (SE). Still, two main limitat...
Abstract Context: Researchers from different groups and institutions are collaborating on building ...
Experimentation in software engineering is necessary but difficult. One reason is that there are a l...
Experimentation in software engineering is important but difficult. One reason it is so difficult is...
Abstract Context: Researchers from different groups and institutions are collaborating towards the ...
Experimentation in software engineering is difficult. One reason is that there are a large number of...
The aggregation of studies is of growing interest for the Empirical Software Engineering community, ...
Current meta-analysis-based procedures for aggregating experimental studies borrowed from other bran...
Abstract Experimentation is a key issue in science and engineering. But it is one of software engin...
Context: Researchers perform experiments to check their proposals under controlled conditions. Thus,...
Context Previous studies have raised concerns about the analysis and meta-analysis of crossover exp...
The "standard" approach to studies in empirical software engineering research is the &quo...
Program analysis techniques analyze software systems to collect, deduce, or infer information about ...
Context: Empirical Software Engineering (ESE) replication researchers need to store and manipulate e...
One of the main challenges in empirical software engineering today lies in the aggregation of eviden...
Abstract Context: Experiments are commonplace in software engineering (SE). Still, two main limitat...
Abstract Context: Researchers from different groups and institutions are collaborating on building ...
Experimentation in software engineering is necessary but difficult. One reason is that there are a l...
Experimentation in software engineering is important but difficult. One reason it is so difficult is...
Abstract Context: Researchers from different groups and institutions are collaborating towards the ...
Experimentation in software engineering is difficult. One reason is that there are a large number of...
The aggregation of studies is of growing interest for the Empirical Software Engineering community, ...
Current meta-analysis-based procedures for aggregating experimental studies borrowed from other bran...
Abstract Experimentation is a key issue in science and engineering. But it is one of software engin...
Context: Researchers perform experiments to check their proposals under controlled conditions. Thus,...
Context Previous studies have raised concerns about the analysis and meta-analysis of crossover exp...
The "standard" approach to studies in empirical software engineering research is the &quo...
Program analysis techniques analyze software systems to collect, deduce, or infer information about ...
Context: Empirical Software Engineering (ESE) replication researchers need to store and manipulate e...
One of the main challenges in empirical software engineering today lies in the aggregation of eviden...