Description
Requirement Check analyzes requirement definition documents for automotive software development using generative AI, making it easier to identify missing information, ambiguities, and inconsistencies at an early stage.
By streamlining review activities during the requirement definition phase and when specifications change, it helps reduce rework and mitigate quality risks in later development stages.
Visualizing Quality at the Requirement Definition Stage
Requirement definition documents are critical deliverables that serve as the starting point for all development phases, including design, implementation, and verification.
In automotive software development in particular, building quality into requirements at an early stage is essential to prevent rework and quality issues in later phases.
This feature automatically reviews the content of requirement definition documents and visualizes points that require correction or reconsideration, such as missing information, ambiguities, and inconsistencies between requirements.
It also supports easier quality checks at the requirement definition stage by aligning with key concepts required by international process standards such as ASPICE and ISO, including clarity, consistency, and change management.
As a result, it becomes easier to perform stable and standards‑aware requirement quality checks without relying on individual reviewers’ experience, helping teams consistently assess requirement definition quality at an early stage.
Key Points Verified and Visualized
In Requirement Check, requirement specifications are reviewed from the following perspectives to support effective quality confirmation at the requirement definition stage.
– Missing or incomplete requirements
– Logical inconsistencies between requirements
– Ambiguous expressions or missing conditions that can lead to multiple interpretations
– Missing updates to requirements following specification changes
By viewing these points in a consolidated manner, engineering teams can efficiently review requirement specifications as a whole and identify areas that require attention.
Impact Across the Entire Development Process
By identifying and addressing issues at the requirement definition stage, it becomes easier to reduce the effort required for corrections after moving into the design, implementation, and verification phases.
As a result, this contributes to achieving both improved development efficiency and higher overall product quality across the development lifecycle.