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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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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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09/10/2021
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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02/23/2021
The SmartSHARK Repository Mining Data
The SmartSHARK repository mining data is a collection of rich and detail...
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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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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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01/06/2020
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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07/27/2017