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Profil bibliographique

Michele Tufano

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

80Publications signalées
4022Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Software Engineering ResearchSoftware Testing and Debugging TechniquesSoftware Reliability and Analysis ResearchAdvanced Malware Detection TechniquesNatural Language Processing Techniques

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

Grounding AI Agents in Contracts: An Empirical Evaluation of Spec-Driven Test Generation

Michele Tufano, James McClure, José Cambronero, Runxiang Cheng et autres

LLM-based agents are increasingly used for coding tasks, where they have outperformed many classical approaches and scaled to repository-level tasks, such as test generation. However, when directly prompted to generate tests, these agents can fail to reason about the code and its …

0 citations arXiv (Cornell University)
Accès ouvert 2026 conference-paper OpenAlex

Dynamic Cogeneration of Bug Reproduction Test in Agentic Program Repair

Runxiang Cheng, Michele Tufano, José Cambronero, Renyao Wei et autres

Bug Reproduction Tests (BRTs) have been used in many Automated Program Repair (APR) systems, primarily for validating fixes and aiding fix generation. In practice, when developers submit a patch, they often implement the BRT alongside the fix. Our experience deploying agentic APR …

us (code pays fourni par la source)

1 citation
Accès ouvert 2026 conference-paper OpenAlex

Abstain and Validate: A Dual-LLM Policy for Reducing Noise in Agentic Program Repair

José Cambronero, Michele Tufano, Sherry Shi, Grant Uy et autres

Agentic Automated Program Repair (APR) is increasingly tackling complex, repository-level bugs in industry, but ultimately these patches still need to be reviewed by a human before committing them to ensure they address the bug. Showing patches unlikely to be accepted can lead …

us (code pays fourni par la source)

0 citations
Accès ouvert 2026 conference-paper OpenAlex

Towards a Human-in-the-Loop Framework for Reliable Patch Evaluation Using an LLM-as-a-Judge

Sherry Shi, Michele Tufano, José Cambronero, Runxiang Cheng et autres

Reliable evaluation is crucial for advancing Automated Program Repair (APR), but prevailing benchmarks rely on execution-based evaluation metrics (pass@k), which fail to capture true patch validity. Determining validity can require costly manual annotation. To reduce this cost, we introduce a human-in-the-loop framework …

us (code pays fourni par la source)

0 citations
Accès ouvert 2026 preprint OpenAlex

Dynamic Cogeneration of Bug Reproduction Test in Agentic Program Repair

Runxiang Cheng, Michele Tufano, José Cambronero, Renyao Wei et autres

Bug Reproduction Tests (BRTs) have been used in many Automated Program Repair (APR) systems, primarily for validating fixes and aiding fix generation. In practice, when developers submit a patch, they often implement the BRT alongside the fix. Our experience deploying agentic APR …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Dynamic Cogeneration of Bug Reproduction Test in Agentic Program Repair

Runxiang Cheng, Michele Tufano, José Cambronero, Renyao Wei et autres

Bug Reproduction Tests (BRTs) have been used in many Automated Program Repair (APR) systems, primarily for validating fixes and aiding fix generation. In practice, when developers submit a patch, they often implement the BRT alongside the fix. Our experience deploying agentic APR …

us (code pays fourni par la source)

0 citations arXiv (Cornell University)
2025 conference-paper OpenAlex

Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation

Benjamin Jeremiah Steenhoek, Michele Tufano, Neel Sundaresan, A. Svyatkovskiy

Software testing is a crucial but time-consuming aspect of software development, and recently, Large Language Models (LLMs) have gained popularity for automated test case generation. However, because LLMs are trained on vast amounts of open-source code, they often generate test cases that …

de, us, gb (code pays fourni par la source)

20 citations
Accès ouvert 2025 conference-paper OpenAlex

Evaluating Agent-Based Program Repair at Google

Pat Rondon, José Cambronero, Jürgen Cito, Aaron R. Sun et autres

Agent-based program repair offers to automatically resolve complex bugs end-to-end by combining the planning, tool use, and code generation abilities of modern LLMs. Recent work has explored the use of agent-based repair approaches on the popular open-source SWE-Bench [1], a collection of …

us (code pays fourni par la source)

16 citations
Accès ouvert 2025 article OpenAlex

The E3-ligase Siah2 activates mitochondrial quality control in neurons to maintain energy metabolism during ischemic brain tolerance

Maria Josè Sisalli, Elena D’Apolito, Ornella Cuomo, Giovanna Lombardi et autres

Mitochondrial quality control is crucial for the homeostasis of the mitochondrial network. The balance between mitophagy and biogenesis is needed to reduce cerebral ischemia-induced cell death. Ischemic preconditioning (IPC) represents an adaptation mechanism of CNS that increases tolerance to lethal cerebral ischemia. …

it, cz (code pays fourni par la source)

3 citations Cell Death and Disease
Accès ouvert 2024 preprint OpenAlex

Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation

Benjamin Jeremiah Steenhoek, Michele Tufano, Neel Sundaresan, A. Svyatkovskiy

Software testing is a crucial but time-consuming aspect of software development, and recently, Large Language Models (LLMs) have gained popularity for automated test case generation. However, because LLMs are trained on vast amounts of open-source code, they often generate test cases that …

3 citations arXiv (Cornell University)

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