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Research Output 2018 2019

  • 2 Citations
  • 2 Conference contribution
  • 1 Abstract
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Conference contribution
1 Citation (Scopus)

Improving model inference in industry by combining active and passive learning

Yang, N., Aslam, K., Schiffelers, R. R. H., Lensink, L., Hendriks, D., Cleophas, L. G. W. A. & Serebrenik, A., 15 Mar 2019, 26th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2019). Shihab, E., Lo, D. & Wang, X. (eds.). Piscataway: Institute of Electrical and Electronics Engineers, p. 253-263 11 p. 8668007

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Industry
Lithography
Problem-Based Learning
Semiconductor materials
1 Citation (Scopus)
6 Downloads (Pure)

Interface protocol inference to aid understanding legacy software components

Aslam, K., Luo, Y., Schiffelers, R. R. H. & van den Brand, M. G. J., 14 Oct 2018, Proceedings of MODELS 2018 Workshops: ModComp, MRT, OCL, FlexMDE, EXE, COMMitMDE, MDETools, GEMOC, MORSE, MDE4IoT, MDEbug, MoDeVVa, ME, MULTI, HuFaMo, AMMoRe, PAINS co-located with ACM/IEEE 21st International Conference on Model Driven Engineering Languages and Systems (MODELS 2018). Hebig, R. & Berger, T. (eds.). 6 p. (CEUR Workshop Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Engineers
Industry