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Issue No.04 - July/August (2012 vol.14)
pp: 32-35
Philip Guo , Stanford University
ABSTRACT
One technical barrier to reproducible computational science is that it's hard to distribute scientific code in a form that other researchers can easily execute on their own computers. To help eliminate this barrier, the CDE tool packages all software dependencies required to rerun Linux-based computational experiments on other computers.
INDEX TERMS
Reproducibility of results, Reproducibility of results, Software engineering, Research and development, Linux, Computational modeling, Scientific computing, Maintenance engineering, and enhancement, Reproducibility of results, Reproducibility of results, Software engineering, Research and development, Linux, Computational modeling, Scientific computing, Maintenance engineering, scientific computing, software release management and delivery, configuration management, software engineering, portability, distribution, maintenance
CITATION
Philip Guo, "CDE: A Tool for Creating Portable Experimental Software Packages", Computing in Science & Engineering, vol.14, no. 4, pp. 32-35, July/August 2012, doi:10.1109/MCSE.2012.36
REFERENCES
1. V. Stodden, “The Scientific Method in Practice: Reproducibility in the Computational Sciences,” MIT Sloan Research Paper No. 4773-10, 2010; http://dx.doi.org/10.2139ssrn.1550193.
2. P.J. Guo, “CDE: Run Any Linux Application On-Demand Without Installation,” Proc. 2011 Usenix Large Installation System Administration Conf., Usenix Assoc., 2011; http://static.usenix.org/events/lisa11/tech/ full_papersGuo.pdf.
3. P.J. Guo and D. Engler, “CDE: Using System Call Interposition to Automatically Create Portable Software Packages,” Proc. 2011 Usenix Annual Tech. Conf., Usenix Assoc., 2011; http://static.usenix.org/events/atc11/tech/ final_filesGuoEngler.pdf.
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