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Issue No.04 - July/August (2008 vol.25)
pp: 21-28
Rebecca Sanders , Queen's University, Kingston
Diane Kelly , Royal Military College (RMC) of Canada
ABSTRACT
The development of scientific software involves risk in the underlying theory, its implementation, and its use. Through a series of interviews, the authors explored how research scientists at two Canadian universities developed their software. These interviews indicated that the scientists used a set of strategies to address risk. They also suggested where the software engineering community could perform research focused on specific problems faced by scientific software developers.
INDEX TERMS
Professional end-user developer, scientific application software, software development, software testing, empirical study
CITATION
Rebecca Sanders, Diane Kelly, "Dealing with Risk in Scientific Software Development", IEEE Software, vol.25, no. 4, pp. 21-28, July/August 2008, doi:10.1109/MS.2008.84
REFERENCES
1. D. Kelly, "A Software Chasm: Software Engineering and Scientific Computing," IEEE Software, vol. 24, no. 6, 2007, pp. 119–120.
2. M.B. Miles and A.M. Huberman, Qualitative Data Analysis: An Expanded Sourcebook (2nd ed.), Sage Publications, 1994.
3. W.W. Royce, "Managing the Development of Large Software Systems: Concepts and Techniques," Proc. 9th Int'l Conf. Software Eng., IEEE CS Press, 1987, pp. 328–338.
4. L. Hatton and A. Roberts, "How Accurate is Scientific Software?" IEEE Trans. Software Eng., vol. 20, no. 10, 1994, pp. 785–797.
5. L. Hatton, "The Chimera of Software Quality," Computer, vol. 40, no. 8, 2007, pp. 104–103.
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