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Found 7 papers, 2 papers with code
Test-Driven Development for Code Generation
However, in the past, there have been several studies that have shown the value of test-driven development (TDD) where humans write tests based on problem statements before the code for the functionality is written.
LLbezpeky: Leveraging Large Language Models for Vulnerability Detection
Despite the continued research and progress in building secure systems, Android applications continue to be ridden with vulnerabilities, necessitating effective detection methods.
RLocator: Reinforcement Learning for Bug Localization
Despite significant advances in these techniques, they do not directly optimize the evaluation measures.
ApacheJIT: A Large Dataset for Just-In-Time Defect Prediction
In this paper, we present ApacheJIT, a large dataset for Just-In-Time defect prediction.
How are Project-Specific Forums Utilized? A Study of Participation, Content, and Sentiment in the Eclipse Ecosystem
Although many software development projects have moved their developer discussion forums to generic platforms such as Stack Overflow, Eclipse has been steadfast in hosting their self-supported community forums.
Software Engineering
Exploiting Token and Path-based Representations of Code for Identifying Security-Relevant Commits
Public vulnerability databases such as CVE and NVD account for only 60% of security vulnerabilities present in open-source projects, and are known to suffer from inconsistent quality.
Supervised Sentiment Classification with CNNs for Diverse SE Datasets
Sentiment analysis, a popular technique for opinion mining, has been used by the software engineering research community for tasks such as assessing app reviews, developer emotions in issue trackers and developer opinions on APIs.
