VeriAbsL: Scalable Verification by Abstraction and Strategy Prediction (Competition Contribution)

Priyanka Darke, Bharti Chimdyalwar, Sakshi Agrawal, Shrawan Kumar, R. Venkatesh 0001, Supratik Chakraborty. VeriAbsL: Scalable Verification by Abstraction and Strategy Prediction (Competition Contribution). In Sriram Sankaranarayanan 0001, Natasha Sharygina, editors, Tools and Algorithms for the Construction and Analysis of Systems - 29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Paris, France, April 22-27, 2023, Proceedings, Part II. Volume 13994 of Lecture Notes in Computer Science, pages 588-593, Springer, 2023. [doi]

@inproceedings{DarkeCAKVC23,
  title = {VeriAbsL: Scalable Verification by Abstraction and Strategy Prediction (Competition Contribution)},
  author = {Priyanka Darke and Bharti Chimdyalwar and Sakshi Agrawal and Shrawan Kumar and R. Venkatesh 0001 and Supratik Chakraborty},
  year = {2023},
  doi = {10.1007/978-3-031-30820-8_41},
  url = {https://doi.org/10.1007/978-3-031-30820-8_41},
  researchr = {https://researchr.org/publication/DarkeCAKVC23},
  cites = {0},
  citedby = {0},
  pages = {588-593},
  booktitle = {Tools and Algorithms for the Construction and Analysis of Systems - 29th International Conference, TACAS 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022, Paris, France, April 22-27, 2023, Proceedings, Part II},
  editor = {Sriram Sankaranarayanan 0001 and Natasha Sharygina},
  volume = {13994},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-30820-8},
}