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
Legacy systems built on discontinued platforms are a recurring technological liability in organizations that depend on these applications to sustain critical business processes. Although modernization is strategically necessary, it is costly and error-prone when performed exclusively through manual effort. In this pape...
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
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
