EARS Rule Detection

This project involves identifying the basic structure of EARS rules used in expressing requirements. Once a text file is loaded, the scripts perform some language processing on each sentence/statement and checks if they follow the EARS requirement structures, such as:

• Ubiquitous requirement
• Event-driven requirement
• State-driven requirement
• Unwanted behaviour requirement
• Optional feature requirement
• Complex requirement

Running the Scripts

Each of Python scripts can be run individually when the dataset text file (.txt) is in the same directory. python ears_ubiquitous.py python ears_event_driven.py python ears_state_driven.py

Tools Used

This project was developed in Python, using the following libraries:

• NLTK (https://www.nltk.org/api/nltk.html)
• NumPy (https://numpy.org/)
• Textstat (https://pypi.org/project/textstat/)

Further requirements found in requirements.txt.

References

• Template Conformance (https://github.com/armsp/template-conformance)