Abstract
This special issue contains revised and substantially extended versions of a few of the best papers presented at FASE 2018. These papers share one common theme, the development of new model-based software quality assurance methods, and cover a substantial section of the whole spectrum of today available quality assurance tools and techniques.
Similar content being viewed by others
References
Gioulekas, F., Poplavko, P., Katsaros, P., Bensalem, S., Palomo, P.: Correct-by-construction model-based design of reactive streaming software for multi-core embedded systems. Int. J. Softw. Tools Technol. Transfer (in this issue) (2019)
Dimovski, A.S.: CTL* family-based model checking using variability abstractions and modal transition systems. Int. J. Softw. Tools Technol. Transfer (in this issue) (2019)
Semeráth, O., Farkas, R., Bergmann, G., Varró, D.: Diversity of graph models and graph generators in mutation testing. Int. J. Softw. Tools Technol. Transfer (in this issue) (2019)
Búr, M., Szilágyi, G., Vörös, A., Varró, D.: Distributed graph queries over models@run.time for runtime monitoring of cyber-physical systems. Int. J. Softw. Tools Technol. Transfer (in this issue) (2019)
Acknowledgements
We are grateful to the editors of the International Journal on Software Tools for Technology Transfer for allowing us to publish this collection of papers as a special issue. We are also grateful to all Programme Committee members of FASE 2018 and reviewers involved in selecting and reviewing the papers included in this special issue. Their thorough reviews and guidance have helped to improve the quality of the papers published here. Last but not least, we thank the authors.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Russo, A., Schürr, A. Model-based software quality assurance tools and techniques presented at FASE 2018. Int J Softw Tools Technol Transfer 22, 1–2 (2020). https://doi.org/10.1007/s10009-019-00541-3
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10009-019-00541-3