Knowledge Graphs for goal model generation

We provide the code used to produce the analyses of our paper: Leveraging knowledge graphs for goal model generation. The code can be run in a dedicated Jupyter Notebook:

Installing the dependencies

pip install -r requirements.txt

Running the generation of texts to help produce new subgoals

jupyter notebook approach_demo.ipynb

Citation

@inproceedings{abdoulsoukour:hal-04486653,
  TITLE = {{Leveraging Knowledge Graphs for Goal Model Generation}},
  AUTHOR = {Abdoul Soukour, Shahin and Aboucaya, William and Georgantas, Nikolaos},
  URL = {https://inria.hal.science/hal-04486653},
  BOOKTITLE = {{7th Workshop on Natural Language Processing for Requirements Engineering (NLP4RE) in conjuction with the 30th International Woking Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2024)}},
  ADDRESS = {Winterthur, Switzerland},
  EDITOR = {CEUR-WS},
  PAGES = {11},
  YEAR = {2024},
  MONTH = Apr,
  KEYWORDS = {Goal-oriented Requirements Engineering ; KAOS ; Domain Knowledge Graph ; Natural Language Processing ; Natural Language Inference},
  PDF = {https://inria.hal.science/hal-04486653v2/file/_NLP4RE_24__NLP_for_goal_models_camera_ready_version.pdf},
  HAL_ID = {hal-04486653},
  HAL_VERSION = {v2},
}