Building Knowledge through Families of Experiments
IEEE Transactions on Software Engineering
Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
Applying meta-analytical procedures to software engineering experiments
Journal of Systems and Software
IEEE Transactions on Software Engineering
An empirical methodology for introducing software processes
Proceedings of the 8th European software engineering conference held jointly with 9th ACM SIGSOFT international symposium on Foundations of software engineering
Common Knowledge: How Companies Thrive by Sharing What They Know
Common Knowledge: How Companies Thrive by Sharing What They Know
Replicating Software Engineering Experiments: Addressing the Tacit Knowledge Problem
ISESE '02 Proceedings of the 2002 International Symposium on Empirical Software Engineering
The impact of background and experience on software inspections
The impact of background and experience on software inspections
The Impact of Background and Experience on Software Inspections
Empirical Software Engineering
Analysis of the influence of communication between researchers on experiment replication
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Using observational pilot studies to test and improve lab packages
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
PBR vs. checklist: a replication in the n-fold inspection context
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Empirical studies in reverse engineering: state of the art and future trends
Empirical Software Engineering
SIGDOC '07 Proceedings of the 25th annual ACM international conference on Design of communication
The role of replications in Empirical Software Engineering
Empirical Software Engineering
Data sets and data quality in software engineering
Proceedings of the 4th international workshop on Predictor models in software engineering
Ontology-based artefact management in automotive electronics
International Journal of Computer Integrated Manufacturing - Integrated Design of Product and Processes
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
Is agility out there?: agile practices in game development
Proceedings of the 28th ACM International Conference on Design of Communication
Facilitating tacit-knowledge acquisition within requirements engineering
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
Testing techniques in software engineering
Testing techniques in software engineering
Empirical Software Engineering
Modeling software component criticality using a machine learning approach
AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
A process for managing interaction between experimenters to get useful similar replications
Information and Software Technology
On the impact of UML analysis models on source-code comprehensibility and modifiability
ACM Transactions on Software Engineering and Methodology (TOSEM)
Empirical Software Engineering
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Recently the awareness of the importance of replicating studies has been growing in the empirical software engineering community. The results of any one study cannot simply be extrapolated to all environments because there are many uncontrollable sources of variation between different environments.In our work, we have reasoned that the availability of laboratory packages for experiments can encourage better replications and complementary studies. However, even with effectively specified laboratory packages, transfer of experimental know-how can still be difficult. In this paper, we discuss the collaboration structures we have been using in the Readers’ Project, a bilateral project supported by the Brazilian and American national science agencies that is investigating replications and transfer of experimental know-how issues. In particular, we discuss how these structures map to the Nonaka–Takeuchi knowledge sharing model, a well-known paradigm used in the knowledge management literature. We describe an instantiation of the Nonaka–Takeuchi Model for software engineering experimentation, establishing a framework for discussing knowledge sharing issues related to experimental software engineering. We use two replications to illustrate some of the knowledge sharing issues we have faced and discuss the mechanisms we are using to tackle those issues in Readers’ Project.