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“An Evolutionary Testbed for Software Technology Evaluation” by M. Lindvall, I. Rus, F. Shull, M. V. Zelkowitz, P. Donzelli. Atif M. Memon, V. R. Basili, P. Costa, R. T. Tvedt, L. Hochstein, S. Asgari, C. Ackermann, and D. Pech, NASA Journal of Innovations in Systems and Software Engineering, vol. 1, no. 1, Apr. 2005, pp. 3-11, Springer.
Empirical evidence and technology evaluation are needed to close the gap between the state of the art and the state of the practice in software engineering. However, there are difficulties associated with evaluating technologies based on empirical evidence: insufficient specification of context variables, cost of experimentation, and risks associated with trying out new technologies. In this paper, we propose the idea of an evolutionary testbed for addressing these problems. We demonstrate the utility of the testbed in empirical studies involving two different research technologies applied to the testbed, as well as the results of these studies. Thework is part of NASAÂ’s High Dependability Computing Project (HDCP), in which we are evaluating a wide range of new technologies for improving the dependability of NASA mission-critical systems.
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BibTeX entry:
@article{LindvalNASA2005,
author = {M. Lindvall and I. Rus and F. Shull and M. V. Zelkowitz and
P. Donzelli and Atif M. Memon and V. R. Basili and P. Costa and R.
T. Tvedt and L. Hochstein and S. Asgari and C. Ackermann and D.
Pech},
title = {An Evolutionary Testbed for Software Technology Evaluation},
journal = {NASA Journal of Innovations in Systems and Software Engineering},
volume = {1},
number = {1},
pages = {3--11},
publisher = {Springer},
address = {London},
month = apr,
year = {2005},
issn = {1614-5046}
}
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