We provide the code used for our paper "An Interactive Tool for Goal Model Construction using a Knowledge Graph", written by Shahin ABDOUL SOUKOUR, William ABOUCAYA and Nikolaos GEORGANTAS.
Inside a dedicated Python environment:
pip install -r requirements.txtuvicorn main:appThe tool is then accessible by opening a webpage at the URL 127.0.0.1:8000 or localhost:8000
If you use HuggingFace Inference Endpoints, you can perform the NLI and sentiment analysis tasks on remote servers by creating a .env file at the root of this project and adding the following environment variables:
HF_TOKEN: Your HuggingFace Inference Endpoints access tokenAPI_URL_NLI: The URL to your endpoint containing a model dedicated to NLI (in our paper, we useynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli)API_URL_SENT: The URL to your endpoint containing a model dedicated to sentiment analysis (in our paper, we usecardiffnlp/twitter-roberta-base-sentiment-latest)
@inproceedings{abdoulsoukour:hal-04907365,
TITLE = {{An Interactive Tool for Goal Model Construction using a Knowledge Graph}},
AUTHOR = {Abdoul Soukour, Shahin and Aboucaya, William and Georgantas, Nikolaos},
URL = {https://inria.hal.science/hal-04907365},
BOOKTITLE = {{REFSQ 2025 - 31st International Working Conference on Requirement Engineering: Foundation for Software Quality}},
ADDRESS = {Barcelona, Spain},
EDITOR = {Springer},
PAGES = {15},
YEAR = {2025},
MONTH = Apr,
KEYWORDS = {Goal modeling ; Goal-Oriented Requirement Engineering ; Requirement Engineering ; Knowledge Graph ; Natural Language Processing ; Natural Language Inference ; Graph-to-Text ; Software Engineeering},
PDF = {https://inria.hal.science/hal-04907365v2/file/paper_21%20%281%29.pdf},
HAL_ID = {hal-04907365},
HAL_VERSION = {v2},
}Copyright © 2025 Shahin ABDOUL SOUKOUR. This work (source code) is licensed under the MIT License.