activity
20222025
most citedLearning to Reduce False Positives in Analytic Bug Detectors

37 citations · 68 across the 11 of their papers we have counts for

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9 papers · 1 filter

cs.SE2025

PerfBench: Can Agents Resolve Real-World Performance Bugs?

Spandan Garg, Roshanak Zilouchian Moghaddam, Neel Sundaresan

Performance bugs are inefficiencies in software that waste computational resources without causing functional failures, making them particularly challenging to detect and fix. Whil…

cs.SE2025

FaultLine: Automated Proof-of-Vulnerability Generation Using LLM Agents

Vikram Nitin, Baishakhi Ray, Roshanak Zilouchian Moghaddam

Despite the critical threat posed by software security vulnerabilities, reports are often incomplete, lacking the proof-of-vulnerability (PoV) tests needed to validate fixes and pr…

cs.SE2025

SetupBench: Assessing Software Engineering Agents' Ability to Bootstrap Development Environments

Avi Arora, Jinu Jang, Roshanak Zilouchian Moghaddam

Modern Large Language Model (LLM) agents promise end to end assistance with real-world software tasks, yet existing benchmarks evaluate LLM agents almost exclusively in pre-baked e…

cs.SE2024★ 12 cited

AutoDev: Automated AI-Driven Development

Michele Tufano, Anisha Agarwal, Jinu Jang +2

The landscape of software development has witnessed a paradigm shift with the advent of AI-powered assistants, exemplified by GitHub Copilot. However, existing solutions are not le…

cs.SE2024★ 6 cited

Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming

Anisha Agarwal, Aaron Chan, Shubham Chandel +6

The integration of Large Language Models (LLMs) into Development Environments (IDEs) has become a focal point in modern software development. LLMs such as OpenAI GPT-3.5/4 and Code…

cs.SE2023★ 5 cited

RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot

Spandan Garg, Roshanak Zilouchian Moghaddam, Neel Sundaresan

Performance bugs are non-functional bugs that can even manifest in well-tested commercial products. Fixing these performance bugs is an important yet challenging problem. In this w…

cs.SE2022★ 1 cited

DeepPERF: A Deep Learning-Based Approach For Improving Software Performance

Spandan Garg, Roshanak Zilouchian Moghaddam, Colin B. Clement +2

Improving software performance is an important yet challenging part of the software development cycle. Today, the majority of performance inefficiencies are identified and patched…

cs.SE2022

Generating Examples From CLI Usage: Can Transformers Help?

Roshanak Zilouchian Moghaddam, Spandan Garg, Colin B. Clement +2

Continuous evolution in modern software often causes documentation, tutorials, and examples to be out of sync with changing interfaces and frameworks. Relying on outdated documenta…

cs.SE2022★ 37 cited

Learning to Reduce False Positives in Analytic Bug Detectors

Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin +4

Due to increasingly complex software design and rapid iterative development, code defects and security vulnerabilities are prevalent in modern software. In response, programmers re…