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ARRINA - Association and Recommendation for Requirements in Natural Language
- Project
- 17039 XIVT
- Description
- Extracts specifications and recommends which are the most adequate for customer requirements
- ARRINA recommends specifications for requirements with an accuracy of 80%
- ARRINA achieves a reduction of testing time (mapping specifications for requirements) of 85%
- Contact
- Ibéria Medeiros, FCUL: Faculty of Sciences of University of Lisboa
- ivmedeiros@fc.ul.pt
- Technical features
Input(s):
- Existing Natural Language (NL) Customer Requirements and Design Specifications linked between them
- Input requirements written in NL
Main feature(s):
- Automated extraction and interpretation of requirements and specifications
- Main requirements and specifications
- Representation of the knowledge within a subsystem
- Analysis and correlation of requirements and specifications for a Top-K recommendations
Output(s):
- Top-K recommendations for requirements to specifications
- Knowledge graph representative of the knowledge within a PCS
- Associations rules among requirements and among specifications of a subsystem
- Integration constraints
- Python 3
- Graphviz
- pandas
- NLTK
- mlxtend
- openpyxl
- xlrd
- Targeted customer(s)
Requirements engineers, Software architects, Project managers.
- Conditions for reuse
Open-source restricted and permission required.
- Confidentiality
- Public
- Publication date
- 02-02-2022
- Involved partners
- Faculty of Sciences of University of Lisbon (PRT)