Visual-ISAM: A Visualization Method for Software Failure Analysis and Evaluation based on Knowledge Graph Utilizing Improved SALKU Model

Canwei Shi, Ling-lin Gong, Qi Shao, Qi Yao, Zhiyu Duan. Visual-ISAM: A Visualization Method for Software Failure Analysis and Evaluation based on Knowledge Graph Utilizing Improved SALKU Model. In 22nd IEEE International Conference on Software Quality, Reliability, and Security, QRS 2022 - Companion, Guangzhou, China, December 5-9, 2022. pages 270-277, IEEE, 2022. [doi]

@inproceedings{ShiGSYD22,
  title = {Visual-ISAM: A Visualization Method for Software Failure Analysis and Evaluation based on Knowledge Graph Utilizing Improved SALKU Model},
  author = {Canwei Shi and Ling-lin Gong and Qi Shao and Qi Yao and Zhiyu Duan},
  year = {2022},
  doi = {10.1109/QRS-C57518.2022.00047},
  url = {https://doi.org/10.1109/QRS-C57518.2022.00047},
  researchr = {https://researchr.org/publication/ShiGSYD22},
  cites = {0},
  citedby = {0},
  pages = {270-277},
  booktitle = {22nd IEEE International Conference on Software Quality, Reliability, and Security, QRS 2022 - Companion, Guangzhou, China, December 5-9, 2022},
  publisher = {IEEE},
  isbn = {979-8-3503-1991-0},
}