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144 results for “Test generation”
Artefact to the paper "Combining Type Inference and Automated Unit Test Generation for Python" submitted to ISSTA 2024
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Optimizing Class Integration Testing with Criticality-Driven Test Order Generation
<p>The generation of class integration test orders (CITOs) is a pivotal element in integration testing, which focuses on determining the optimal order for integrating classes while testing an object-oriented system. Due to a high number of dependencies and their possible error proneness, some classes are more critical than others in a program. Existing methods for handling these classes only assess risk in terms of their dependencies; they do not consider historical bug information as an additional indicator and mainly work on small programs. </p> <p>To overcome these limitations, this paper introduces Criticality-Driven CITO (CD-CITO) generation, an innovative approach to optimize CITOs by focusing on class criticality. CD-CITO assesses both the importance of a class in terms of its dependencies and the likelihood of defects, based on historical bug data, to determine a criticality score. Then, it reformulates the CITO generation problem as a reinforcement learning task and uses the Advantage Actor-Critic (A2C) algorithm to address it. We propose a novel reward calculation strategy to guide the learning agent, balancing stubbing costs with the criticality values of classes to optimize the test order. To extract fault proneness information and access the approach, the paper uses Defects4j, a data set that contains real bugs and patches of Java programs. The results obtained show that CD-CITO effectively identifies and prioritizes highly critical classes and also minimizes stubbing costs while generating CITOs, which makes it a valuable tool for integration testing.</p>
TGenAI: LLM-based Approach for Functional Test Case Generation for IoT System
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Tests generated by Randoop for class integration test generation
<p>Tests generated by Randoop for class integration test generation experiment</p>
Systematic Mapping Appendix - Identifying approaches to generate test cases in model-based testing: a
<p>The appendix present the complete mapping of individual studies and its categories.</p>
Understanding The Impact of Solver Choice in Model-Based Test Generation
<p><strong># Solver Experiment - Data Package</strong></p> <p>This repository is intended to allow replication and extension of the study<br> conducted in the following paper:</p> <p>Ying Meng and Gregory Gay. Understanding The Impact of Solver Choice in Model-Based Test Generation. To appear, 2020 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). Available from <a href="https://greg4cr.github.io/pdf/20solvers.pdf">https://greg4cr.github.io/pdf/20solvers.pdf</a>.</p> <p>This package includes all data used or generated in this experiment.<br> * Models<br> * Mutants<br> * Test Suites<br> * Execution Traces<br> * Fault-detection Results</p> <p>If you have any questions on this data, please contact us at greg@greggay.com. <br> </p>
Data Tabels (One-dimensional N-layer thermal modelling as a basis for effective machine learning training data generation for nondestructive testing of composite parts.)
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On the energy consumption of test generation: Replication package
<p>Replication package for the paper "On the energy consumption of test generation"</p>
Dataset of the Automatic Unit Test Generation for Programming Assignments Using Large Language Models
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Supporting Data for Generating Realistic and Diverse Tests for LiDAR-Based Perception Systems
<p>Supporting data for ICSE 2023 paper "Generating Realistic and Diverse Tests for LiDAR-Based Perception Systems".</p> <p> </p> <p>The "selected_data.tar.xz" file contains a small subsample of the <a href="http://www.semantic-kitti.org">SemanticKITTI data set</a> for use in demonstration of the capabilities of the research prototype tool used in the evaluation. The SemanticKITTI data set is released under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License, which permits redistribution under the same terms.</p> <p>The "study_data_compressed.tar.xz" file contains the intermediate results obtained during the study conducted in the paper. We provide scripts to generate the figures and tables from the paper given this data.</p> <p> </p> <p>The</p>
Realistic in Generation of HEp-2 Cell Images Using Latent Diffusion Models: a Multi-center Visual Turing Test
ClinicalTrials.gov study NCT06542783. IPD Sharing: NO. Countries: 0. Publications: 6.
Data from: Next-generation sequencing to inventory taxonomic diversity in eukaryotic communities: a test for freshwater diatoms
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Data from: A test of the hypothesis that correlational selection generates genetic correlations
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Next-Generation Sequencing was used to conduct a quantitative analysis of Wild Type (Ctrl) and Stat3 KO (Test) long bone transcriptomes.
GEO Series GSE159184. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
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>
PLATOOL: A Functional Test Generation Tool for Mobile Applications
<p>The presentation video of the paper "PLATOOL: A Functional Test Generation Tool for Mobile Applications" for SBES - Tools Track.</p>
Replication Package: "Simulation-based Test Case Generation for Unmanned Aerial Vehicles in the Neighborhood of Real Flights"
<p><strong>Structure:</strong></p> <p>For each of the experiments, conducted for our Research questions, we include the following:</p> <p>1. An spreadsheet file containing the aggregated experiment results</p> <ul> <li>first tab: aggregated data for all the 10 repetitions, and metrics reported in the paper</li> <li>raw logs for each of 10 repetitions in separate tabs</li> </ul> <p>2. Experiment summary for each of the 10 repetitions</p> <ul> <li>plots of the evaluated solutions at each iteration, and their fitness values</li> <li>the plot of the overall progress of the fitness values over iterations</li> <li>the raw log containing the details of computations for each iteration</li> </ul> <p>3. Experiment simulation logs (raw simulation outputs)</p> <ul> <li>'.ulg' flight logs of the solutions evaluated at each iteration ( 'n' parallel simulations at each iteration)</li> <li>only the repetition with the best final result is included. We exclude the other repetitions since the total space needed is too large (more than 200 GB).</li> </ul>
Data generated for 'Early stage of Erythrocyte Sedimentation Rate test: Fracture of a high-volume-fraction gel'
<p>This dataset has been generated for the manuscript entitled "Early stage of Erythrocyte Sedimentation Rate test: Fracture of a high-volume-fraction gel".</p>
Clinical Validation of Immunovia Next-Generation Blood Biomarker Test to Detect Early-Stage Pancreatic Cancer
ClinicalTrials.gov study NCT06947382. IPD Sharing: NO. Countries: 4. Publications: 0.
The Role of Igf-1 Generation Test in Diagnosis and Treatment of Short Stature
ClinicalTrials.gov study NCT01970800. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
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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.