Refactoring of Legacy Software Using Model Learning and Equivalence Checking: An Industrial Experience Report-Reference-Cited by-同舟云学术

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Refactoring of Legacy Software Using Model Learning and Equivalence Checking: An Industrial Experience Report

Published:2016 Issue: Volume: Page:311-325
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Schuts Mathijs,Hooman Jozef,Vaandrager Frits

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-33693-0_20

Reference25 articles.

1. Aarts, F., Jonsson, B., Uijen, J., Vaandrager, F.W.: Generating models of infinite-state communication protocols using regular inference with abstraction. Formal Methods Syst. Des. 46(1), 1–41 (2015)

2. Aarts, F., Kuppens, H., Tretmans, G.J., Vaandrager, F.W., Verwer, S.: Improving active Mealy machine learning for protocol conformance testing. Mach. Learn. 96(1–2), 189–224 (2014)

3. Akers, R.L., Baxter, I.D., Mehlich, M., Ellis, B.J., Luecke, K.R.: Case study: re-engineering C++ component models via automatic program transformation. Inf. Softw. Technol. 49(3), 275–291 (2007)

4. Angluin, D.: Learning regular sets from queries and counterexamples. Inf. Comput. 75(2), 87–106 (1987)

5. Ansel, J., Arya, K., Cooperman, G.: DMTCP: transparent checkpointing for cluster computations and the desktop. In: IEEE Parallel and Distributed Processing Symposium (2009)

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