User learning and performance with marking menus
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Case study: extreme programming in a university environment
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Replicated Case Studies for Investigating Quality Factorsin Object-Oriented Designs
Empirical Software Engineering
Java Quality Assurance by Detecting Code Smells
WCRE '02 Proceedings of the Ninth Working Conference on Reverse Engineering (WCRE'02)
An Ethnographic Study of Copy and Paste Programming Practices in OOPL
ISESE '04 Proceedings of the 2004 International Symposium on Empirical Software Engineering
Lightweight visualizations for inspecting code smells
SoftVis '06 Proceedings of the 2006 ACM symposium on Software visualization
Drivers for software refactoring decisions
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Visually localizing design problems with disharmony maps
Proceedings of the 4th ACM symposium on Software visualization
The effect of branching strategies on software quality
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
Diversity in software engineering research
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
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Software is developed for and in a vast number of contexts. Some software systems are small in size; some large. Some systems are developed by small teams; some large. Some projects are sensitive to schedule, others to safety of the users. In this position paper, we argue that to make a lasting impact with the software engineering research we conduct, we must understand, make explicit, and vary the context in which our conclusions are drawn. Moreover, we need a better understanding of how research results can be translated or generalized to other contexts, as it is not economically feasible to replicate results across all contexts. We argue that a successful solution to this problem will allow researchers to conduct research within particular contexts, richly characterize those contexts in their writings, and allow other researchers to predictably build on those in differing contexts.