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NALABS/RCM
- Project
- 17039 XIVT
- Description
Detects requirements containing potential mistakes or indicators or overcomplexity.
- Contact
- Eduard Enoiu, Mälardalen University
- eduard.paul.enoiu@mdh.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 Bad Smells and Complexity Detector
Output(s):
- Bad smells and complexity indicators
- Integration constraints
- C#
- .NET
- 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
- Mälardalen University (SWE)