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VARA
- Project
- 17039 XIVT
- Description
- Identifies reuse opportunities across variants and projects
- VARA identifies and recommend reuse with around 82% average accuracy
- Contact
- Muhammad Abbas, RISE Research Institutes of Sweden
- muhammad.abbas@ri.se
- Technical features
Input(s):
- Existing Natural Language Requirements and their links to implementing software
- New Natural Language requirements to be implemented
Main feature(s):
- Automated Variability-Aware Reuse analysis and recommendation
Output(s):
- Software components that are candidates for reuse in new projects
- Integration constraints
- Python 3
- spaCy
- scikit-learn
- Targeted customer(s)
Requirements engineers, Software testers, Software architects, Project managers.
- Conditions for reuse
Licensing and permission required
- Confidentiality
- Public
- Publication date
- 02-02-2022
- Involved partners
- RISE - Research institutes of Sweden (SWE)
- Mälardalen University (SWE)