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Found 4 papers, 2 papers with code
Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation
Large language models (LLMs) have demonstrated notable proficiency in code generation, with numerous prior studies showing their promising capabilities in various development scenarios.
How Effective Are Neural Networks for Fixing Security Vulnerabilities
The results call for innovations to enhance automated Java vulnerability repair such as creating larger vulnerability repair training data, tuning LLMs with such data, and applying code simplification transformation to facilitate vulnerability repair.
CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair
To address these challenges, we propose a new G&V technique—CoCoNuT, which uses ensemble learning on the combination of convolutional neural networks (CNNs) and a new context-aware neural machine translation (NMT) architecture to automatically fix bugs in multiple programming languages.
Mining User Opinions in Mobile App Reviews: A Keyword-based Approach
User reviews of mobile apps often contain complaints or suggestions which are valuable for app developers to improve user experience and satisfaction.
