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111 results for “Integration Testing”
Figure 3 in On the Integrity of Online Testing for Introductory Statistics Courses: A Latent Variable Approach
Figure 3 Box and whiskeo ploqs oc canonical scooes coo Indo-Pacicic humpback dolphins. The squaoes, boxes and whiskeos oepoesenq means, sqandaod eoooos and sqandaod desiaqions, oespecqiselv, in (A) and medians, 25 and 75 quaoqiles and minima-maxima, oespecqiselv, in (B). Indo-Pacicic humpback dolphins coom qhe Jiulong Riseo Esquaov + Peaol Riseo Esquaov %JRE + PRE) and Taiwanese waqeos.
Figure 1 in On the Integrity of Online Testing for Introductory Statistics Courses: A Latent Variable Approach
Figure 1 Map oc qhe squdv aoea. Sampling locaqions oc Indo-Pacicic humpback dolphins analvsed in qhis squdv. The goeen shaded aoea oepoesenqs qhe known disqoibuqion oc qhese dolphins, and qhe oed sqao and vellow ciocles show qhe locaqions coom wheoe qhe holoqvpe and paoaqvpe specimens oc qhe Taiwanese humpback dolphin Sousa chinensis taiwanensis weoe collecqed, oespecqiselv. Some baqhvmeqoic conqouos in qhe Taiwan Sqoaiq aoe also shown.
Figure 4 in On the Integrity of Online Testing for Introductory Statistics Courses: A Latent Variable Approach
Figure 4 Foequencv disqoibuqions oc canonical scooes oc Indo-Pacicic humpback dolphins. The disqoibuqions coo Indo-Pacicic humpback dolphins coom Taiwanese waqeos and qhe Jiulong Riseo Esquaov + Peaol Riseo Esquaov aoe shown in goeen and vellow, oespecqiselv. The doqqed lines indicaqe qhe locaqions wheoe 75% oc qhe disqoibuqions aoe cound.
Test dataset for "Spatial Integration of Multi-Omics Data from Serial Sections using the novel Multi-Omics Imaging Integration Toolset"
<p>The uploaded tar file contains anonymized and reduced test data for the paper "Spatial Integration of Multi-Omics Data from Serial Sections using the novel Multi-Omics Imaging Integration Toolset". (doi: https://doi.org/10.1101/2024.06.11.598306; https://github.com/mwess/miit)</p> <p>Dataset description:<br>- 9 serial histology sections with the following stains: (HES, HE, HES, HES, HES, MTS, IHC, IHC, HES)<br>- Sections are indexed in the following way (due to some sections not being part of this project): 1,2,3,6,7,8,9,10,11<br>- Each serial section contains: <br> - landmarks with matching labels across all sections.<br> - semi-manually generated tissue masks <br>- Section 2 contain spatial transcriptomics data and one annotation file in geojson format.<br>- Sections 6 and 7 contain imzml data that were generated with MALDI-MSI in positive ion mode (section 6) and negative ion mode (section 7) and additional histology annotations.<br>- MALDI-MSI is reduced. The positive ion data contains only intensities and spectra for spermine. The negative ion mode data contains only intensities and spectra for citrate and zinc.<br>- ST data contains only locations of spots and scalefactors. (I.e. no count data is included.). Barcode ids are randomly generated. <br>- In addition, for each ST spot histopathological annotations and GSEA scores for the Citrate-Spermine Secretion gene signature are provided.</p> <p>Abbreviations:</p> <p>- HES = Hematoxylin-Erythrosine-Saffron<br>- HE = Hematoxylin-Eosin<br>- MTS = Masson's Trichrome Staining<br>- IHC = Immunohistochemistry<br>- ST = Spatial Transcriptomics, here refers to Visium10X arrays.<br>- MALDI-MSI = Matrix-Assisted Laser Desorption Ionization - Mass Spectrometry Imaging.</p> <p> </p>
Replication Kit: "Are Unit and Integration Test Definitions Still Valid for Modern Java Projects? An Empirical Study on Open-Source Projects"
<p><strong>Replication Kit for the Paper "Are Unit and Integration Test Definitions Still Valid for Modern Java Projects? An Empirical Study on Open-Source Projects"</strong><br> This additional material shall provide other researchers with the ability to replicate our results. Furthermore, we want to facilitate further insights that might be generated based on our data sets.</p> <p><strong>Structure</strong><br> The structure of the replication kit is as follows:</p> <ul> <li><strong>additional_visualizations</strong>: contains additional visualizations (Venn-Diagrams) for each projects for each of the data sets that we used</li> <li><strong>data_analysis</strong>: contains python scripts that we used to analyze our raw data</li> <li><strong>data_collection_tools</strong>: contains all source code used for the data collection, including the used versions of the <a href="https://github.com/comfort-framework">COMFORT framework</a>, the <a href="https://github.com/ftrautsch/BugFixClassifier">BugFixClassifier</a>, and the used tools of the <a href="https://github.com/smartshark">SmartSHARK environment</a>;</li> <li><strong>mongodb_no_authors</strong>: Archived dump of our MongoDB that we created by executing our data collection tools. The "comfort" database can be restored via the mongorestore command.</li> </ul> <p><br> <strong>Additional Visualizations</strong><br> We provide two additional visualizations for each project:<br> 1) <project_name>\_disj\_ieee\_venn (visualizations for the DISJ data set)<br> 2) <project_name>\_all\_ieee\_venn (visualizations for the ALL data set)</p> <p>For each of these data sets there exist one visualization for each project that shows four Venn-Diagrams for each of the different defect types. These Venn-Diagrams show the number of defects that were detected by either unit, or integration tests (or both).</p> <p>Furthermore, we added boxplots for each of the data sets (i.e., ALL and DISJ) showing the scores of unit and integration tests for each defect type.</p> <p><br> <strong>Analysis scripts</strong><br> Requirements:<br> - python3.5<br> - tabulate<br> - scipy<br> - seaborn<br> - mongoengine<br> - pycoshark<br> - pandas<br> - matplotlib</p> <p>Both python files contain all code for the statistical analysis we performed.</p> <p><strong>Data Collection Tools</strong><br> We provide all data collection tools that we have implemented and used throughout our paper:</p> <ul> <li><strong>BugFixClassifier</strong>: Used to classify our defects.</li> <li><strong>comfort-core</strong>: Core of the comfort framework. Used to classify our tests into unit and integration tests and calculate different metrics for these tests.</li> <li><strong>comfort-jacoco-listner</strong>: Used to intercept the coverage collection process as we were executing the tests of our case study projects.</li> <li><strong>jSHARK</strong>: Library that contains models for the used ORM mapper that is used inside the SmartSHARK environment (for Java).<strong> </strong></li> <li><strong>pycoSHARK</strong>: Library that contains models for the used ORM mapper that is used inside the SmartSHARK environment (for Python).</li> <li><strong>tools-changedistiller</strong>: Version of ChangeDistiller that we used within our comfort-core framework.</li> <li><strong>vcsSHARK</strong>: Used to collect data from the VCSs of the projects.</li> </ul> <p> </p> <p> </p>
Integrated Care for Cancer Patients; Developing, Implementing and Testing a Programme to Improve Integrated Care
ClinicalTrials.gov study NCT00135980. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study to Evaluate the Feasibility of Integrating the Point-of-care Testing for Sexually Transmitted Infections and HIV Into Community-based Clinics for MSM and TGW in Thailand
ClinicalTrials.gov study NCT03580512. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Integration of the Wingate Test Into Virtual Reality Based System
ClinicalTrials.gov study NCT06661395. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Computerized Testing System for Measuring Motor and Sensory Integrative Functions in Children
ClinicalTrials.gov study NCT05451238. IPD Sharing: NO. Countries: 1. Publications: 1.
Implementation and Testing of an eHealth Integrated Model of Care for Patients Receiving Allogeneic Stem Cell Transplantation: The SMILe Project
ClinicalTrials.gov study NCT04789863. IPD Sharing: NO. Countries: 1. Publications: 1.
Integrating Cognitive Assessments Into the Heat Tolerance Test After Exertional Heat Injury
ClinicalTrials.gov study NCT06764264. IPD Sharing: YES. Countries: 1. Publications: 4.
Testing the Efficacy of an Online Integrated Treatment for Comorbid Alcohol Misuse and Emotional Problems
ClinicalTrials.gov study NCT03406039. IPD Sharing: NO. Countries: 1. Publications: 1.
Effects of Sleep Privation on Sensorimotor Integration of the Upper Limb During a Manual Endurance Test in Healthy Volunteers-Physiological Study
ClinicalTrials.gov study NCT03404427. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Integrating Hepatitis C Screening With Dried Blood Spot Testing Into Colorectal Cancer Screening
ClinicalTrials.gov study NCT04037046. IPD Sharing: NO. Countries: 1. Publications: 3.
Testing of the Integrated Rapid Access to HIV Prevention Program for People Who Inject Drugs Program
ClinicalTrials.gov study NCT04531670. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Computerized Testing System for Measuring Motor and Sensory Integrative Functions in Intellectual Disabilities
ClinicalTrials.gov study NCT05473377. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Integrating HCV and HIV Screening During the Era of HIV Antigen Testing
ClinicalTrials.gov study NCT02869776. IPD Sharing: NO. Countries: 1. Publications: 2.
Developing and Testing an Integrated mHealth Learning Program for Gynecological Cancer
ClinicalTrials.gov study NCT06552494. IPD Sharing: NO. Countries: 1. Publications: 20.
Community-based Delivery of Integrated Family Planning/HIV Testing and Counseling Services in Uganda
ClinicalTrials.gov study NCT02244398. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Data from: Tests of species-specific models reveal the importance of drought in postglacial range shifts of a Mediterranean-climate tree: insights from integrative distributional, demographic and coalescent modelling and ABC model selection
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