1 citations · 1 across the 10 of their papers we have counts for
3 papers · 1 filter
FeedbackLLM: Metadata driven Multi-Agentic Language Agnostic Test Case Generator with Evolving prompt and Coverage Feedback
Kushal Jasti, Tejamani Prashanth Sahu, Rishitha Pentyala +2
Traditional approaches to test case generation often involve manual effort and incur significant computational overhead. Additionally, these approaches are not scalable, and hence,…
PPO guided Agentic Pipeline for Adaptive Prompt Selection and Test Case Generation
Gourisetty Venkata Sai Koushik, Dama Aditya, Mahankali Harish Sai +3
Developing effective test cases capable of thoroughly exercising large-scale software systems is inherently difficult, especially if such systems have voluminous, complex, and deep…
FGDM: Reasoning Aware Multi-Agentic Framework for Software Bug Detection using Chain of Thought and Tree of Thought Prompting
Srita Padmanabhuni, Bhargavi Karuturi, Jerusha Karen Indupalli +2
Deep Learning methods are becoming prominent in automated software bug detection; however, they lack the global understanding of the given code. Consequently, their performance ten…