2026· International Workshop on Computer Modeling and Intelligent Systems· pp. 236-251· 0 citations· 28 references
Computer Science
TL;DR
The migration process is formalized as a Markov decision process, and a specialized multi-agent architecture is proposed, in which equivalence preservation is enforced through a RAG-informed Planner Agent, a fine-tuned Developer Agent and a Reviewer Agent that uses the Integral ABAP Quality Score (IAQS) as a formalized online stopping criterion.
This work introduces TriArchitect, a novel shared-state multi-agent framework designed to bridge the gap between probabilistic reasoning and deterministic structural integrity, and introduces a rigorous Validator-Veto Protocol, which enforces a "compilation-as-consensus" rule to reject hallucinated proposals before the...
Neeraj Kumar Singh Beshane· International journal of com...· 0 citations
This work introduces REFINE (Refactoring with Evidence-aware Flow for Integrated ageNtic Execution), a tool-agnostic, evidence-aware multi-agent approach for generating Java file-level refactoring candidates that achieves a higher median code-smell reduction with smaller edits and fewer public-method removals.
Muhammad Waseem, Aakash Ahmad, Pekka Abrahamsson· 0 citations
This work introduces the Super Library Agent problem, where an agent sequentially generates a portfolio of N related applications while maintaining a shared Super Library of reusable cross-application components, and addresses candidate-guided extraction over code chunk summaries, pre-extraction codebase consolidation,...
Daegyu Sung, Yukyeong Lee, Geon Park et al.· 0 citations
A case study conducted in a real industrial setting, where both the effectiveness and efficiency of AI coding agents in supporting the migration of legacy systems to modern platforms are evaluated.
Rodrigues Alves Iago da Silva, Cristiano Politowski, J. E. Montandon· 0 citations
Multi-agent systems built on large language models (LLMs) are increasingly deployed for complex tasks requiring autonomous planning, tool use, and inter-agent coordination. However, the non-deterministic nature of LLM outputs and the emergent behavior arising from agent interactions render traditional test oracles inef...
Gopalakrishnan Marimuthu· International Conference on...· 0 citations
A multi-agent testing framework in which requirement analysis, test-case generation, sandboxed execution, and defect detection are delegated to four distinct agents, and in which detection rests on a composite rule combining the execution signal with the semantic judgment of a dedicated diagnostic agent.
Yuxuan Li· Transactions on Computing Sc...· 0 citations
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