Towards highly scalable runtime models with history

Lucas Sakizloglou, Sona Ghahremani, Thomas Brand, Matthias Barkowsky, Holger Giese. Towards highly scalable runtime models with history. In Shinichi Honiden, Elisabetta Di Nitto, Radu Calinescu, editors, SEAMS '20: IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Seoul, Republic of Korea, 29 June - 3 July, 2020. pages 188-194, ACM, 2020. [doi]

@inproceedings{SakizloglouGBBG20,
  title = {Towards highly scalable runtime models with history},
  author = {Lucas Sakizloglou and Sona Ghahremani and Thomas Brand and Matthias Barkowsky and Holger Giese},
  year = {2020},
  doi = {10.1145/3387939.3388614},
  url = {https://doi.org/10.1145/3387939.3388614},
  researchr = {https://researchr.org/publication/SakizloglouGBBG20},
  cites = {0},
  citedby = {0},
  pages = {188-194},
  booktitle = {SEAMS '20: IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Seoul, Republic of Korea, 29 June - 3 July, 2020},
  editor = {Shinichi Honiden and Elisabetta Di Nitto and Radu Calinescu},
  publisher = {ACM},
  isbn = {978-1-4503-7962-5},
}