The Impact of Background and Experience on Software Inspections
Empirical Software Engineering
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Controversy Corner: An empirical study of software architectures' effect on product quality
Journal of Systems and Software
Expanding the horizons of software development processes: a 3-D integrated methodology
SPW'05 Proceedings of the 2005 international conference on Unifying the Software Process Spectrum
A conceptual model to address threats to validity in controlled experiments
Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering
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Empirical studies are used frequently in software engineering as a method for studying and understanding software engineering techniques and methods. When conducting studies, researchers make assumptions about three objects, people, processes and products. Researchers usually focus their study on only one of those objects. But, regardless of which type of object is chosen as the focus of the study, researchers make assumptions about all three objects. The impact of those assumptions on experimental validity varies depending on the focus of the study. In this paper, we discuss the various types of assumptions that researchers make. We relate those assumptions back to some concepts from social science research. We then use the results of a people-focused study to illustrate the impact of the assumptions on the results of that study.