Generative modeling games for exploratory industry-academic research
Pages 18 - 21
Abstract
We present an approach to industry-academic research collaboration in which generative modeling is the central mechanism for not only enabling tactical coordination in exploratory research, but also for ensuring strategic alignment of both partners through a cooperative/competitive game approach of model evolution. Thoughts and experiences are offered for its applicability in contexts common relevant to software engineering research.
References
[1]
V. Garousi and M. Felderer, "Living in two different worlds: A comparison of industry and academic focus areas in software testing," IEEE Software, pp. 1--1, 2018.
[2]
P. N. Edwards, M. S. Mayernik, A. L. Batcheller, G. C. Bowker, and C. L. Borgman, "Science friction: Data, metadata, and collaboration," Social Studies of Science, vol. 41, no. 5, pp. 667--690, 2011.
[3]
Q. Hanam, L. Tan, R. Holmes, and P. Lam, "Finding patterns in static analysis alerts: improving actionable alert ranking," in Proc. 11th Working Conf. on Mining Software Repositories, 2014, pp. 152--161.
[4]
H. K. Wright, M. Kim, and D. E. Perry, "Validity concerns in software engineering research," in Proc. FSE/SDP Workshop on Future of Software Engineering Research, 2010, p. 411.
[5]
C. Wohlin, "Empirical software engineering research with industry: Top 10 challenges," in Proc. 2013 1st Intl. Workshop on Conducting Empirical Studies in Industry, 2013, pp. 43--46.
[6]
J. Isaak and M. J. Hanna, "User Data Privacy: Facebook, Cambridge Analytica, and Privacy Protection," Computer, vol. 51, no. 8, pp. 56--59, 2018.
[7]
A. B. Sandberg and I. Crnkovic, "Meeting industry-academia research collaboration challenges with agile methodologies," in Proc. 39th Intl. Conf. on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP), 2017, pp. 73--82.
[8]
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, "Generative adversarial nets," in Advances in Neural Information Processing Systems, vol. 27. Curran Associates, Inc., 2014, pp. 2672--2680.
[9]
B. Wood and R. Duggan, "Red Teaming of advanced information assurance concepts," in Proc. DARPA Information Survivability Conf. and Exposition, vol. 2. IEEE-CS, 1999, pp. 112--118.
[10]
C. Dwork, "Differential Privacy: A Survey of Results," in Theory and Applications of Models of Computation, M. Agrawal, D. Du, Z. Duan, and A. Li, Eds. Springer, 2008, vol. 4978, pp. 1--19.
[11]
S. Anand, E. Burke, T. Y. Chen, J. Clark, M. Cohen, W. Grieskamp, M. Harman, M. J. Harrold, P. McMinn, A. Bertolino, J. Li, and H. Zhu, "An orchestrated survey of methodologies for automated software test case generation," J. of Systems & Software, vol. 86, no. 8, pp. 1978--2001, Aug. 2013.
[12]
A. Walenstein, "Finding boundary objects in SE and HCI: An approach through engineering-oriented design theories." in Bridging the Gaps between Software Engineering and Human-Computer Interaction, ICSE'03, 2003, pp. 92--99.
[13]
K. Beck, "Embracing change with extreme programming," Computer, vol. 32, no. 10, pp. 70--77, 1999.
[14]
B. Johnson, Y. Song, E. Murphy-Hill, and R. Bowdidge, "Why Don'T Software Developers Use Static Analysis Tools to Find Bugs?" in Proc. 2013 Intl. Conf. on Software Engineering, 2013, pp. 672--681.
[15]
A. Pfeffer, "Figaro: An object-oriented probabilistic programming language," Charles River Analytics Technical Report, vol. 137, p. 96, 2009.
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IEEE Press
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Published: 27 May 2019
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