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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Dataset for the workshop paper titled "Automating GUI-based Software Testing with GPT-3" published at AIST 2023

Research datakeyboard_double_arrow_right Dataset 01 Mar 2023Publisher:Zenodo
Authors: Zimmermann, Daniel; Koziolek, Anne;

doi: 10.5281/zenodo.7688700 , 10.5281/zenodo.7688699

Dataset for the workshop paper titled "Automating GUI-based Software Testing with GPT-3" published at AIST 2023

Abstract

The training dataset for the research paper "Automating GUI-based Software Testing with GPT-3" presented at the 3rd International Workshop on Artificial Intelligence in Software Testing (AIST 2023), which was a part of the 16th IEEE International Conference on Software Testing, Verification and Validation (ICST 2023). The dataset contains prompt completion pairs acquired through user interaction with the software and was used to fine-tune the GPT-3 model. The dataset is in the .jsonl format specified by OpenAI.

Keywords

Softeware Testing, GPT3

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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