17 citations · 22 across the 10 of their papers we have counts for
12 papers · 1 filter
Towards Risk-free AI Agent Deployment
Yintong Huo, Rangeet Pan, Abhik Roychoudhury
LLM-based agents are rapidly moving from research prototypes into the core business processes of organizations, but these agents pose deployment risks to security, compliance, and…
Tangent: An Empirical Study of Testing Practices for LLM-Based Agent Applications
Rangeet Pan, Tyler Stennett, Divya Sankar +5
Agents built on large language models (LLMs) are increasingly used to build applications that perform complex, multi-step tasks involving reasoning, tool use, and interaction with…
Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions
Tyler Stennett, Rangeet Pan, Bridget McGinn +2
Research on automating software testing has spanned several decades. Most existing approaches generate unit tests for individual methods, validate isolated API endpoints, or target…
Usage, Effects and Requirements for AI Coding Assistants in the Enterprise: An Empirical Study
Maja Vukovic, Rangeet Pan, Tin Kam Ho +3
The rise of large language models (LLMs) has accelerated the development of automated techniques and tools for supporting various software engineering tasks, e.g., program understa…
MockingBird: Context-aware Repository-level Code Translation with Isolated Validation
Kaiyao Ke, Ali Reza Ibrahimzada, Rangeet Pan +2
Despite advances in repository-level code translation, automated type resolution across differing type systems and translation validation (functional-equivalence checking) remain c…
SAINT: Service-level Integration Test Generation with Program Analysis and LLM-based Agents
Rangeet Pan, Raju Pavuluri, Ruikai Huang +4
Enterprise applications are typically tested at multiple levels, with service-level testing playing an important role in validating application functionality. Existing service-leve…
Hamster: A Large-Scale Study and Characterization of Developer-Written Tests
Rangeet Pan, Tyler Stennett, Raju Pavuluri +3
Automated test generation (ATG), which aims to reduce the cost of manual test suite development, has been investigated for decades and has produced countless techniques based on a…
Otter: Generating Tests from Issues to Validate SWE Patches
Toufique Ahmed, Jatin Ganhotra, Rangeet Pan +3
While there has been plenty of work on generating tests from existing code, there has been limited work on generating tests from issues. A correct test must validate the code patch…
TDD-Bench Verified: Can LLMs Generate Tests for Issues Before They Get Resolved?
Toufique Ahmed, Martin Hirzel, Rangeet Pan +2
Test-driven development (TDD) is the practice of writing tests first and coding later, and the proponents of TDD expound its numerous benefits. For instance, given an issue on a so…
Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights
Rahul Krishna, Rangeet Pan, Raju Pavuluri +3
Large Language Models for Code (or code LLMs) are increasingly gaining popularity and capabilities, offering a wide array of functionalities such as code completion, code generatio…
AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation
Ali Reza Ibrahimzada, Kaiyao Ke, Mrigank Pawagi +4
Code translation transforms programs from one programming language (PL) to another. Several rule-based transpilers have been designed to automate code translation between different…
ASTER: Natural and Multi-language Unit Test Generation with LLMs
Rangeet Pan, Myeongsoo Kim, Rahul Krishna +2
Implementing automated unit tests is an important but time-consuming activity in software development. To assist developers in this task, many techniques for automating unit test g…