kirancodes.me
To Proof Maintenance & Beyond!

7,482 papers · page 10 of 375

EditFlow: Benchmarking and Optimizing Code Edit Recommendation Systems via Reconstruction of Developer Flows

Chenyan Liu, Yun Lin, Jiaxin Chang, Jiawei Liu, Binhang Qi, Bo Jiang, Zhiyong Huang, Jin Song Dong

Large language models (LLMs) for code editing have achieved remarkable progress, yet recent empirical studies reveal a fundamental disconnect between technical accuracy and developer productivity . Despite their strong benchmark performance, developers complete tasks 19% slower w…

OOPSLA 2026★ Distinguished Paper

Beyond Coverage: Automatic Test Suite Augmentation for Enhanced Effectiveness using Large Language Models

Zeyu Lu, Peng Zhang, Yuge Nie, Yibiao Yang, Yutian Tang, Chun Yong Chong, Yuming Zhou

Large Language Models (LLMs) have gained significant traction in software engineering for automating tasks such as unit test generation. Most existing studies prioritize code coverage as the primary metric for enhancing test suite effectiveness. However, prior research has shown …

When Specifications Meet Reality: Uncovering API Inconsistencies in Ethereum Infrastructure

Jie Ma, Ningyu He, Jinwen Xi, Mingzhe Xing, Liangxin Liu, Jiushenzi Luo, Xiaopeng Fu, Chiachih Wu + 3 more

The Ethereum ecosystem, which secures over $381 billion in assets, fundamentally relies on client APIs as the sole interface between users and the blockchain. However, these critical APIs suffer from widespread implementation inconsistencies, which can lead to financial discrepan…

Kuiper: Correct and Efficient GPU Programming with Dependent Types and Separation Logic

Guido Martínez, Bastian Köpcke, Jonás Fiala, Gabriel Ebner, Tahina Ramananandro, Michel Steuwer, Tyler Sorensen, Nikhil Swamy

We introduce Kuiper , a language for safe and verified efficient CPU/GPU programming embedded as an extensible library within the F* dependently typed language. We rely on F*’s support for dependent types and its associated Pulse concurrent separation logic to develop a program l…