works on

From the 1 of 7 linked papers with an AI index.

activity
20242026
collaborators

7 papers

cs.SE2026

Software Supply Chains are Dead: Use-Case-Oriented Regeneration

Tanmay Singla, James C. Davis

The paper proposes a use‑case‑oriented regeneration approach that uses generative AI to synthesize only the needed functionality of a dependency, reducing reliance on external soft…

cs.SE2026

Cheap Code, Costly Judgment: A Case Study on Governable Agentic Software Engineering

James C. Davis, Paschal C. Amusuo, Tanmay Singla +2

Generative AI is shifting software engineering from a practice organized around scarce implementation effort toward one organized around abundant, low-cost code production. This sh…

cs.SE2026

Towards a Benchmark for Dependency Decision-Making

Tanmay Singla, Berk Çakar, Paschal C. Amusuo +1

AI coding agents increasingly modify real software repositories and make dependency decisions, including adding, removing, or updating third-party packages. These choices can mater…

cs.SE2025

FalseCrashReducer: Mitigating False Positive Crashes in OSS-Fuzz-Gen Using Agentic AI

Paschal C. Amusuo, Dongge Liu, Ricardo Andres Calvo Mendez +3

Fuzz testing has become a cornerstone technique for identifying software bugs and security vulnerabilities, with broad adoption in both industry and open-source communities. Direct…

cs.SE2025

A Unit Proofing Framework for Code-level Verification: A Research Agenda

Paschal C. Amusuo, Parth V. Patil, Owen Cochell +2

Formal verification provides mathematical guarantees that a software is correct. Design-level verification tools ensure software specifications are correct, but they do not expose…

cs.SE2025

Do Unit Proofs Work? An Empirical Study of Compositional Bounded Model Checking for Memory Safety Verification

Paschal C. Amusuo, Owen Cochell, Taylor Le Lievre +3

Memory safety defects pose a major threat to software reliability, enabling cyberattacks, outages, and crashes. To mitigate these risks, organizations adopt Compositional Bounded M…