38 citations · 60 across the 6 of their papers we have counts for
7 papers
ApacheJIT: A Large Dataset for Just-In-Time Defect Prediction
Hossein Keshavarz, Meiyappan Nagappan
In this paper, we present ApacheJIT, a large dataset for Just-In-Time defect prediction. ApacheJIT consists of clean and bug-inducing software changes in popular Apache projects. A…
On the Relationship Between the Developer's Perceptible Race and Ethnicity and the Evaluation of Contributions in OSS
Reza Nadri, Gema Rodríguez-Pérez, Meiyappan Nagappan
Open Source Software (OSS) projects are typically the result of collective efforts performed by developers with different backgrounds. Although the quality of developers' contribut…
Watch out for Extrinsic Bugs! A Case Study of their Impact in Just-In-Time Bug Prediction Models on the OpenStack project
Gema Rodriguez-Perez, Meiyappan Nagappan, Gregorio Robles
Intrinsic bugs are bugs for which a bug introducing change can be identified in the version control system of a software. In contrast, extrinsic bugs are caused by external changes…
Ammonia: An Approach for Deriving Project-specific Bug Patterns
Yoshiki Higo, Shinpei Hayashi, Hideaki Hata +1
Finding and fixing buggy code is an important and cost-intensive maintenance task, and static analysis (SA) is one of the methods developers use to perform it. SA tools warn develo…
Exploiting Token and Path-based Representations of Code for Identifying Security-Relevant Commits
Achyudh Ram, Ji Xin, Meiyappan Nagappan +4
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 quali…
Supervised Sentiment Classification with CNNs for Diverse SE Datasets
Achyudh Ram, Meiyappan Nagappan
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…