Autonomous Decision Systems for Cross-Domain Applications with Optimized QA in Multi-Team Software Development
DOI:
https://doi.org/10.15680/IJCTECE.2025.0805003Keywords:
Autonomous Decision Systems, Cross-Domain Applications, Multi-Team Software Development, Optimized Quality Assurance, AI-Driven Workflow, Task Allocation, Code Quality, Resource Optimization, Software Engineering, Productivity EnhancementAbstract
Autonomous decision systems are increasingly vital for managing complex, cross-domain applications in dynamic software development environments. This paper proposes a framework that leverages artificial intelligence to support real-time decision-making across multiple domains while integrating optimized quality assurance (QA) strategies in multi-team software development. By automating key decisions related to task allocation, code quality, and workflow prioritization, the system enhances productivity, reduces human error, and ensures consistent adherence to development standards. Optimized QA allocation mechanisms enable effective utilization of resources across teams, maintaining high-quality output and accelerating project timelines. The proposed approach demonstrates the potential of autonomous systems to streamline software development while balancing quality, efficiency, and cross-domain coordination.
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