Preliminary guidelines for empirical research in software engineering
IEEE Transactions on Software Engineering
An integrated experimental environment for distributed systems and networks
ACM SIGOPS Operating Systems Review - OSDI '02: Proceedings of the 5th symposium on Operating systems design and implementation
Replicating Software Engineering Experiments: Addressing the Tacit Knowledge Problem
ISESE '02 Proceedings of the 2002 International Symposium on Empirical Software Engineering
ISESE '04 Proceedings of the 2004 International Symposium on Empirical Software Engineering
Feedback-Directed Random Test Generation
ICSE '07 Proceedings of the 29th international conference on Software Engineering
Finding what's not there: a new approach to revealing neglected conditions in software
Proceedings of the 2007 international symposium on Software testing and analysis
Does Hardware Configuration and Processor Load Impact Software Fault Observability?
ICST '10 Proceedings of the 2010 Third International Conference on Software Testing, Verification and Validation
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Collaboration between research groups can be quite difficult. Differences in hardware, software, and operating environments can lead to differences in results or even errors. Overcoming these difficulties can take significant time, or even result in ending the collaboration. A solution is presented and applied to two collaborations between ABB and universities. This collaboration involves using virtual machines as a way to create and deploy environments to each collaborator. The results show that this virtual machine solution allows for significant time savings in experimental setup. Also, collaborators are able to quickly reproduce results and remotely investigate any issues uncovered. Finally, this solution allows experiments to be rerun at later points in time without the need to recreate the environment.