Cognitive Services

objectiF RPM is equipped with machine learning features to improve the quality of results in the field of requirements engineering. The focus is primarily on processing and understanding natural language.

• Speech recognition: Speech recognition enables the conversion of spoken language into text, which is then transferred into a description field.
• Voice control: With the help of the voice assistant, you can search a system for diagrams, queries, hierarchical queries, and all types of views. The results found are displayed in a list or, if unambiguous, opened immediately.
• Similarity of requirements: A system may contain hundreds of requirements. To ensure that new requirements do not already exist in a similar form, AI can support you in identifying semantic similarities between requirements.
• Clarity and contradictions of requirements: Requirements can be checked for consistency. Assessing the clarity and contradictions of requirements is an extension of quality control.
• Generate new elements with AI: Additional requirements or test cases can be derived from existing requirements using AI. The more instructions and prompts specified in the configuration (AI assistants), the more precisely the AI can generate new elements according to your needs. The generated elements can then be incorporated into the project.