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08/23/2023
On Using Information Retrieval to Recommend Machine Learning Good Practices for Software Engineers
Machine learning (ML) is nowadays widely used for different purposes and...
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04/24/2023
AI, write an essay for me: A large-scale comparison of human-written versus ChatGPT-generated essays
Background: Recently, ChatGPT and similar generative AI models have attr...
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04/13/2023
Understanding issues related to personal data and data protection in open source projects on GitHub
Context: Data protection regulations such as the GDPR and the CCPA affec...
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04/11/2023
An exploratory study of bug-introducing changes: what happens when bugs are introduced in open source software?
Context: Many studies consider the relation between individual aspects a...
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01/25/2023
What are the Machine Learning best practices reported by practitioners on Stack Exchange?
Machine Learning (ML) is being used in multiple disciplines due to its p...
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09/15/2022
Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP
Context: The identification of bugs within the reported issues in an iss...
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07/25/2022
Differential testing for machine learning: an analysis for classification algorithms beyond deep learning
Context: Differential testing is a useful approach that uses different i...
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05/03/2022
Predicting Issue Types with seBERT
Pre-trained transformer models are the current state-of-the-art for natu...
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11/17/2021
Are automated static analysis tools worth it? An investigation into relative warning density and external software quality
Automated Static Analysis Tools (ASATs) are part of software development...
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09/24/2021
Broccoli: Bug localization with the help of text search engines
Bug localization is a tedious activity in the bug fixing process in whic...
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09/10/2021
On the validity of pre-trained transformers for natural language processing in the software engineering domain
Transformers are the current state-of-the-art of natural language proces...
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09/08/2021
On the differences between quality increasing and other changes in open source Java projects
Static software metrics, e.g., size, complexity and coupling are used in...
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04/06/2021
A new perspective on the competent programmer hypothesis through the reproduction of bugs with repeated mutations
The competent programmer hypothesis states that most programmers are com...
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04/01/2021
Exploring the relationship between performance metrics and cost saving potential of defect prediction models
Performance metrics are a core component of the evaluation of any machin...
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02/27/2021
Expert decision support system for aeroacoustic classification
This paper presents an expert decision support system for time-invariant...
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02/23/2021
The SmartSHARK Repository Mining Data
The SmartSHARK repository mining data is a collection of rich and detail...
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12/16/2020
Automatic source localization and spectra generation from deconvolved beamforming maps
We present two methods for the automated detection of aeroacoustic sourc...
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11/12/2020
Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling
Context: Tangled commits are changes to software that address multiple c...
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09/03/2020
Smoke Testing for Machine Learning: Simple Tests to Discover Severe Defects
Machine learning is nowadays a standard technique for data analysis with...
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03/11/2020
On the Feasibility of Automated Issue Type Prediction
Context: Issue tracking systems are used to track and describe tasks in ...
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01/07/2020
With Registered Reports Towards Large Scale Data Curation
The scale of manually validated data is currently limited by the effort ...
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01/06/2020
The SmartSHARK Ecosystem for Software Repository Mining
Software repository mining is the foundation for many empirical software...
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12/02/2019
A Longitudinal Study of Static Analysis Warning Evolution and the Effects of PMD on Software Quality in Apache Open Source Projects
Automated static analysis tools (ASATs) have become a major part of the ...
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11/20/2019
Issues with SZZ: An empirical assessment of the state of practice of defect prediction data collection
Defect prediction research has a strong reliance on published data sets ...
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11/11/2019
On the costs and profit of software defect prediction
Defect prediction can be a powerful tool to guide the use of quality ass...
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02/20/2019
A systematic mapping study of developer social network research
Developer social networks (DSNs) are a tool for the analysis of communit...
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12/23/2018
A Multi-Objective Anytime Rule Mining System to Ease Iterative Feedback from Domain Experts
Data extracted from software repositories is used intensively in Softwar...
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12/22/2018
An Industrial Case Study on Shrinking Code Review Changesets through Remark Prediction
Change-based code review is used widely in industrial software developme...
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01/12/2018
Benchmarking cross-project defect prediction approaches with costs metrics
Defect prediction can be a powerful tool to guide the use of quality ass...
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07/27/2017