Generative AI Detection of Document Incompleteness, Inconsistencies, and Discrepancies

Software development activities must adhere to industry, national, and/or international regulatory standards to ensure security, safety, and other important properties in high-stakes, regulated domains, such as healthcare, automotive, and aerospace. These software standards are often codified via multiple documents, ranging from specific requirements to general guidance. Software developers must demonstrate—and regulatory authorities must then verify—the completeness and consistency between the software artifacts and the software regulatory documents. Detecting regulatory document incompleteness, inconsistencies, and/or discrepancies (DIID) with respect to software artifacts is important for both developers and regulators because they indicate potential non-conformance and/or software regulatory risk.