Search Results for author:
Found 18 papers, 7 papers with code
The Impact Of Bug Localization Based on Crash Report Mining: A Developers' Perspective
In this paper, we report our experience of using an approach for grouping crash reports and finding buggy code on a weekly basis for 18 months, within three development teams in a software company.
Stop Words for Processing Software Engineering Documents: Do they Matter?
In this work, we investigate the usefulness of stop word removal in a software engineering context.
She Elicits Requirements and He Tests: Software Engineering Gender Bias in Large Language Models
Implicit gender bias in software development is a well-documented issue, such as the association of technical roles with men.
Socialz: Multi-Feature Social Fuzz Testing
Online social networks have become an integral aspect of our daily lives and play a crucial role in shaping our relationships with others.
Adding Context to Source Code Representations for Deep Learning
Deep learning models have been successfully applied to a variety of software engineering tasks, such as code classification, summarisation, and bug and vulnerability detection.
Automatically Categorising GitHub Repositories by Application Domain
GitHub is the largest host of open source software on the Internet.
Is Surprisal in Issue Trackers Actionable?
In this study we will propose a new method for unusual event detection in software repositories using surprisal.
Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow
As query reformulation is tedious for developers, especially for novices, we propose an automated software-specific query reformulation approach based on deep learning.
The Shifting Sands of Motivation: Revisiting What Drives Contributors in Open Source
Open Source Software (OSS) has changed drastically over the last decade, with OSS projects now producing a large ecosystem of popular products, involving industry participation, and providing professional career opportunities.
Software Engineering
How Successful Are Open Source Contributions From Countries with Different Levels of Human Development?
Are Brazilian developers less likely to have a contribution accepted than their peers from, say, the United Kingdom?
Software Engineering
AdelaideCyC at SemEval-2020 Task 12: Ensemble of Classifiers for Offensive Language Detection in Social Media
This paper describes the systems our team (AdelaideCyC) has developed for SemEval Task 12 (OffensEval 2020) to detect offensive language in social media.
A Fine-grained Data Set and Analysis of Tangling in Bug Fixing Commits
Methods: We use a crowd sourcing approach for manual labeling to validate which changes contribute to bug fixes for each line in bug fixing commits.
Software Engineering
Empirical Standards for Software Engineering Research
Empirical Standards are natural-language models of a scientific community's expectations for a specific kind of study (e. g. a questionnaire survey).
Software Engineering General Literature
Optimising the Fit of Stack Overflow Code Snippets into Existing Code
Software developers often reuse code from online sources such as Stack Overflow within their projects.
Software Engineering
Essential Sentences for Navigating Stack Overflow Answers
Such navigational cues could be in the form of essential sentences that help the searcher decide whether they want to read the answer or skip over it.
Automatic Generation of Pull Request Descriptions
We build a dataset with over 41K PRs and evaluate our approach on this dataset through ROUGE and a human evaluation.
Software Engineering
AutoSpearman: Automatically Mitigating Correlated Metrics for Interpreting Defect Models
Through a case study of 13 publicly-available defect datasets, we find that feature selection techniques produce inconsistent subsets of metrics and do not mitigate correlated metrics, suggesting that feature selection techniques should not be used and correlation analyses must be applied when the goal is model interpretation.
Predicting Good Configurations for GitHub and Stack Overflow Topic Models
Software repositories contain large amounts of textual data, ranging from source code comments and issue descriptions to questions, answers, and comments on Stack Overflow.
