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David Julius Huistra

20182018
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Fingerprint Dive into the research topics where David Julius Huistra is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Testing Engineering & Materials Science
Interoperability Engineering & Materials Science
Model checking Engineering & Materials Science
Experiments Engineering & Materials Science

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Research Output 2018 2018

  • 2 Conference contribution
1 Citation (Scopus)
10 Downloads (Pure)

Adaptive Learning for Learn-Based Regression Testing

Huistra, D., Meijer, J. & Pol, J. V. D., Sep 2018, Formal Methods for Industrial Critical Systems: 23rd International Conference, FMICS 2018, Maynooth, Ireland, September 3-4, 2018, Proceedings. Howar, F. & Barnat, J. (eds.). Springer, p. 162-177 16 p. (Lecture Notes in Computer Science; vol. 11119).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Open Access
File
Testing
Model checking
Experiments
1 Citation (Scopus)
89 Downloads (Pure)

Effective Analysis of Attack Trees: A Model-Driven Approach

Kumar, R., Schivo, S., Ruijters, E. J. J., Yildiz, B. M., Huistra, D. J., Brandt, J., Rensink, A. & Stoelinga, M. I. A., Apr 2018, Proceedings of the 21st International Conference on Fundamental Approaches to Software Engineering (FASE 2018). Russo, A. & Schürr, A. (eds.). Springer, p. 56-73 18 p. (Lecture Notes in Computer Science; vol. 10802).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Open Access
File
Interoperability