REQCHECKER™ 1.15 represents a significant step forward in requirement analysis and coverage management. This release strengthens automation through local AI capabilities, clarifies coverage semantics, and improves integration with ALM and CMS tools—while preserving the level of control and determinism expected in industrial environments.
Local AI that reduces manual analysis
REQCHECKER™ 1.15 introduces optional AI features running locally, without cloud dependency. These features analyze the meaning of requirements rather than keywords.
The tool can now automatically group related requirements, helping users review them together and assign analysis to the right specialists. It also detects semantic links between requirements and displays them directly in the coverage matrix, reducing the effort needed to manually establish traceability.
REQCHECKER™ also detects duplicate requirements, even when phrased differently, preventing redundant verification and test activities. To improve extraction quality, the High Probability Only option limits automatic reading to sentences with medium or high confidence, allowing users to focus on relevant requirements only.
More precise and understandable coverage modeling
The existing PARTIAL coverage concept has been renamed to FRAGMENT, clarifying that several coverage fragments can combine to establish the overall coverage of a requirement. This improves understanding without changing behavior.
The former Correct status has been replaced by two explicit statuses: Covered and Mixed. Users can now clearly distinguish between fully covered requirements and those covered as far as applicable, reducing ambiguity during reviews and audits.
REQCHECKER™ 1.15 also introduces a Multi-Level Coverage Matrix that shows the coverage dependency tree across multiple levels. This makes impact analysis easier and improves visibility of coverage gaps. Automatic cyclic coverage detection protects against invalid coverage loops, and the Leaf option allows terminal requirements to be marked as not requiring further coverage.
The DELETED_COVERED error has been extended to detect cases where coverage relies on deleted artefacts, further strengthening traceability robustness.
Better integration with ALM and CMS tools
REQCHECKER™ now supports Jira custom fields and Jira API v3 with bearer authentication, improving compatibility with modern Jira environments. Compatibility with XQUAL ALM has been added, along with an embedded editor that simplifies CMS connection configuration.
Coverage tags can now be managed directly inside CMS descriptions, allowing requirements to be covered at their source and keeping traceability aligned with authoritative data.
Improved usability and data quality
Daily usage is improved with a redesigned options interface, new Trim Left / Trim Right functions to clean requirement texts and attributes, and improved table rendering for better readability.
With version 1.15, REQCHECKER™ delivers practical automation, clearer coverage semantics, and stronger tool integration—helping users analyze, justify, and maintain requirement coverage with greater efficiency and confidence.