Integrated Development Environment Artificial Learning (IDEAL)

Complex software written by multiple developers and sometimes by multiple contributing companies, leads to difficulty ensuring all code complies with desired standards. Noetic believes that to improve the resilience of mission-critical software, complex automated quality checks must become continuous, and they must empower the developer to write compliant code earlier in the process. Doing so requires building a programmatic understanding of the context of any given block of code, identifying all applicable standards that apply, and continuously checking the code for compliance with applicable standards. The best way to achieve these goals is by closely integrating the scanning solution with the Integrated Development Environment (IDE) and build systems used by the agency. This integration allows engaging with the user, extracting important context, and iterating and tailoring the detection systems to the specific code base and developer in question. To this end, Noetic proposes the creation of Integrated Development Environment Artificial Learning (IDEAL). Approved for Public Release | 21-MDA-11013 (19 Nov 21)