Towards an Industrial Stateful Software Rejuvenation Toolchain using Model Learning-Reference-Cited by-同舟云学术

Towards an Industrial Stateful Software Rejuvenation Toolchain using Model Learning

Published:2023-10-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software
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Author:

Schuts Mathijs¹,Hooman Jozef²

Affiliation:

1. Radboud University, Nijmegen, Netherlands

2. TNO-ESI, Eindhoven, Netherlands

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3622758.3622888

Reference35 articles.

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2. A systematic literature survey of software metrics, code smells and refactoring techniques;Agnihotri Mansi;Journal of Information Processing Systems,2020

3. Omar al Duhaiby , Arjan Mooij , Hans van Wezep , and Jan Friso Groote . 2018 . Pitfalls in applying model learning to industrial legacy software. In Leveraging Applications of Formal Methods , Verification and Validation. Industrial Practice: 8th International Symposium, ISoLA 2018, Limassol, Cyprus, Proceedings, Part IV 8. 121–138 . Omar al Duhaiby, Arjan Mooij, Hans van Wezep, and Jan Friso Groote. 2018. Pitfalls in applying model learning to industrial legacy software. In Leveraging Applications of Formal Methods, Verification and Validation. Industrial Practice: 8th International Symposium, ISoLA 2018, Limassol, Cyprus, Proceedings, Part IV 8. 121–138.

4. Shahbaz Ali , Hailong Sun , and Yongwang Zhao . 2021. Model learning: a survey of foundations, tools and applications. Frontiers of Computer Science, 15 ( 2021 ). Shahbaz Ali, Hailong Sun, and Yongwang Zhao. 2021. Model learning: a survey of foundations, tools and applications. Frontiers of Computer Science, 15 (2021).