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57 results for “Test Automation”
The repository of the SANER'21 paper titled "On the Impact of Flaky Tests in Automated Program Repair"
<p>This repository contains the artefact of the paper “On the Impact of Flaky Tests in Automated Program Repair” under review by SANER2021.</p> <ul> <li>results: <ul> <li><strong>RQ1:</strong> This table contains all the statistical data of flaky tests we find out from Defects4J benchmark where each line illustrates the commit date, commit id, java file name, as well as all the flaky methods in this test file. Note that the commit id is empty if there is no update about the java file in that line since last version. <ul> <li>flaky_methods.xlsx</li> </ul> </li> <li><strong>RQ2:</strong> Here are the execution results of 10 times running of flaky tests under 4 different environment. Detailed execution log of each running are classified by project and named in the format <strong><em>test_log_[project_name].txt</em></strong>,the summarized data of each project are named in the format <strong><em>Flaky_test_[project_name].xlsx</em></strong>. The <strong><em>Flaky_test_all.xlsx</em></strong> contain the summarized data for all projects. <ul> <li>jdk1.7 + ubuntu16.04</li> <li>jdk1.7 + ubuntu18.04</li> <li>jdk1.8 + ubuntu16.04</li> <li>jdk1.8 + ubuntu18.04</li> </ul> </li> <li><strong>RQ3:</strong> This folder contains execution results of the fault localization tool <a href="https://github.com/GZoltar/gzoltar">GZoltar-V1.7</a> under two jdk versions. Result of each bug is named in the format <strong><em>[project_name]_[bug_id].csv</em></strong>. <ul> <li>gzoltar_reuslt_flaky_jdk1.7</li> <li>gzoltar_reuslt_flaky_jdk1.8</li> <li>gzoltar_reuslt_noFlaky_jdk1.7</li> <li>gzoltar_reuslt_noFlaky_jdk1.8</li> </ul> </li> <li><strong>RQ4:</strong> This folder contains repair results of different APR tools. For the 10 tools from <a href="https://github.com/program-repair/RepairThemAll">RepairThemAll</a> framework, each result is named in format <strong><em>validation_result_[APR_name].txt</em></strong> which indicates whether the previous patch can be generated this time. For <a href="https://github.com/SerVal-DTF/TBar">TBar</a>, we release all the generated patches including <em>fixed</em> and <em>partially fixed</em>. <ul> <li>RepairThemAll</li> <li>TBar</li> </ul> </li> </ul> </li> </ul>
An Automated, Experimenter-Free Method for the Standardised, Operant Cognitive Testing of Rats __ Data supplementing __
<p>These data supplement the article:</p> <p><strong>An Automated, Experimenter-Free Method for the Standardised, Operant Cognitive Testing of Rats</strong></p> <p><em>Marion Rivalan, Humaira Munawar, Anna Fuchs, York Winter (2017)</em></p> <ul> <li>Published: January 6, 2017</li> <li>http://dx.doi.org/10.1371/journal.pone.0169476</li> </ul> <p>Use is free for academic purposes, provided the aforementioned article is appropriately cited.</p> <p>The directory contains the following file: Pone_2016_DataSupplement-Zenodo.xlsx</p> <p>Explanations are within the document.</p>
Automated Test Case Generation - Master Thesis
<p>This is the dataset used and created within my master thesis.</p>
Artefact to the paper "Combining Type Inference and Automated Unit Test Generation for Python" submitted to ISSTA 2024
Open the record for dataset details and reuse information.
Overlap between Automated Unit and Acceptance Testing -- a Systematic Literature Review (Dataset)
<p>This is the dataset used to conduct a mapping study followed by a systematic literature review on the overlap between automated unit and acceptance testing. It is composed of a full export from Scopus and its cleaned up version with the classification for both the MS and SLR.</p> <p>A full reproduction package is available on <a href="http://gitlab.com/mde4asd/hybrid-software-testing-reproduction-pkg">gitlab</a>.</p> <p>This work has been published at EASE 2022.</p>
Genomes From Bacteria Associated with the Canine Oral Cavity: a Test Case for Automated Genome-Based Taxonomic Assignment
Open the record for dataset details and reuse information.
Automated Unit Test Generation for Python—Experiments
<p>This archive contains the used projects, the raw result data, and the Jupyter Notebook used for evaluation of our work</p> <p>“Automated Unit Test Generation for Python”</p> <p>accepted at the 12th Symposium for Search-Based Software Engineering (SSBSE 2020), October 7–8, 2020, Bari, Italy.</p>
Automated Fairness Testing of Large Language Models
<p>This directory contains the evaluation data for the proposal presented in the Master's Thesis "Automated Fairness Testing of Large Language Models". Specifically, it includes the following:</p> <ul> <li><em>base-experiment/</em>: Contains the test cases (<em>test-cases/</em>) generated to address RQ1 and RQ2, along with the results obtained (<em>executions/</em>) after running them on the models under test.</li> <li><em>stability-experiment/</em>: Contains the test cases (<em>test-cases/</em>) generated to address RQ3, along with the results obtained (<em>executions/</em>) after running them a total of 30 times on the models under test.</li> </ul>
Evaluation of an Adjusted Cutoff Value for S.P.A.T (Skin Prick Automated Test) Device in Allergic Subjects
ClinicalTrials.gov study NCT06803953. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Testing a Conversion Factor for a More Rapidly Acting Insulin in an Automated Insulin Delivery System Among Adolescents With T1D
ClinicalTrials.gov study NCT06948760. IPD Sharing: YES. Countries: 1. Publications: 0.
Testing Automated Echocardiography
ClinicalTrials.gov study NCT04943965. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
A Study of a Self-Administered Memory Screening Test With Automated Reporting (SAMSTAR) in Participants With Mild Cognitive Impairment
ClinicalTrials.gov study NCT02419183. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScreenOX - An Automated At-home Screening Test for Adult Sleep Apnea Using Nocturnal Oximetry
ClinicalTrials.gov study NCT03295149. IPD Sharing: NO. Countries: 1. Publications: 0.
Pulmonary Function Test Study - Automated Interpretation
ClinicalTrials.gov study NCT03264417. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Diagnostic Accuracy of the MADx Multi Array Xplorer (MAX 45k) Automated Laboratory System and the MADx Allergy Explorer Version 2 (ALEX²) - IgE Multiplex Test for the Diagnosis of Pre-defined Groups o
ClinicalTrials.gov study NCT04435678. IPD Sharing: NO. Countries: 1. Publications: 0.
Dataset for Automated Unit Test Generation via Chain of Thought Prompt and Reinforcement Learning
<p>This is the replication package including three types datasets: training dataset with CoT prompts, reward dataset for training reward model, rl dataset for optimizing policy model. The training dataset includes filter_test_cot_rule_50k.csv, filter_train_cot_rule_50k.csv, and filter_valid_cot_rule_50k.csv. These three datasets includes multiple fields (i.e., src_fm, intention, plan, elaboration, gpt_test, src_fm_cot_gpt, target, src_fm_fc_ms_ff,src_fm_intention,src_fm_plan,src_fm_elaboration,idx,rule_cot,rule_cot_nlp,combine_cot,src_fm_rule_cot_nlp,src_fm_cot_nlp_gpt,gpt_cot_filter,src_fm_plan_intention). The reward dataset includes test_athena.json, train_athena.json, and valid_athena.json three files. The rl dataset includes three files: filter_test_cot_gpt_rl.csv, filter_train_cot_gpt_rl.csv, filter_valid_cot_gpt_rl.csv. These files include mulitple fields: src_fm,intention,plan,elaboration,gpt_test,src_fm_cot_gpt,target,src_fm_fc_ms_ff,src_fm_intention,src_fm_plan,src_fm_elaboration,gpt_cot_filter.</p>
Automated Isolation for White-Box Testing
<p>Evaluation dataset and analysis script used in our paper named Automated Isolation for White-Box Testing.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.