SBIR/STTR Research Award
Software Lifecycle Integrated Compliance Keeper (SLICK)
Award amount
$149,978Program and phase
SBIR · Phase IAward year
2022Award details
- Awarding agency
- Department of Defense
- Branch
- Missile Defense Agency
- Recipient company
- CHARLES RIVER ANALYTICS, INC.
- Proposal award date
- 2021-12-06
- Contract end date
- 2022-06-05
- UEI
- DD1BYN8SN355
- Solicitation number
- 21.2
- Topic code
- MDA21-002
Research abstract
Currently, DoD relies on quality assurance engineers to manually inspect code for compliance. This process is not only time consuming for large and complex codebases, but also subject to human error. Moreover, this manual verification process only occurs after the software’s delivery to the customer, therefore incurring further schedule impacts to correct the issue before arriving at a compliant version. To solve this problem, Charles River Analytics proposes to design and demonstrate the feasibility of a Software Lifecycle Integrated Compliance Keeper (SLICK) that seamlessly integrates with the developer’s tool chain to automatically verify if code is compliant with established standards and notify the developer of compliance errors. Approved for Public Release | 21-MDA-11013 (19 Nov 21)
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Neural Network Enhancements for Customized Reduced Order Models to Accelerate Nuanced COA Evaluation and Reasoning (NECROMANCER)
- Mentoring and Responsive Learning through Intelligent Nautical Skill-modeling, Prompting, Intervention, and Feedback during Independent Exercises (MAR
- Novel, On-demand VR for Accessible, Practical, and Engaging therapy (NO VAPE)
- Human-Autonomy Teaming Testbed for Research (HATTER)
- KWYN SOLAR FX
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- ASSURE (AI for Software SUbmission REquirements)
- Integrated Development Environment Artificial Learning (IDEAL)
- Digital Model Generation and Conformance Assessment Tool
- Integrated Development Environment Artificial Learning (IDEAL)
- Automated MAP Compliance Assessment Tool
Research funding history
961 SBIR/STTR records share this UEI (1984–2026). Reported award amounts total $386,500,110. Reported amounts are not federal obligations.
Phases: Phase I, Phase II, Phase II – Direct to Phase II
Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Health and Human Services, Department of Homeland Security, Department of Transportation, Department of Energy