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24 results for “Web API”
[Supplementary material] IDLGen: Automated Code Generation for Inter-parameter Dependencies in Web APIs
<p>This is the supplementary material of the paper entitled IDLGen: Automated Code Generation for Inter-parameter Dependencies in Web APIs.</p>
IDEA Dataset: Inter-parameter DEpendencies in web Apis
<p>Dataset of inter-parameter dependencies found in real-world web APIs.</p>
TimeSide API as an audio processing web service
<p>Audio descriptors can help to analyze, classify and compare sounds by their own characteristics. For large datasets,it is often needed to store the results of the analyses in order to keep everything sustainable and comparable, especially in machine learning usecases. This demo will show how to use the TimeSide REST API as a remote service to process descriptors in order to embed the results in any web application. The new version of the TimeSide player will be presented as a general example of using the dedicated javascript SDK to produce new kinds of applications involving visualization and collaborative annotation.</p>
Raw web API output related to Figure 3 from https://arxiv.org/abs/2309.09893
<p>Raw web API output related to Figure 3 from https://arxiv.org/abs/2309.09893.</p> <p> </p> <p>Can also be found here https://github.com/CQCL/One_Bit_Addition_Raw_Data</p>
Processed data for the "Property-Based Testing of Web APIs" paper
<p>Processed data for the "Property-Based Testing of Web APIs" paper. Each directory in the archive consists of:</p> <p>- metadata.json. Metadata about a test run - tested fuzzer name, run duration, etc</p> <p>- fuzzer.json - Structured fuzzer output</p> <p>- deduplicated_cases.json - Deduplicated reported failures, when fuzzers provide it</p> <p>- sentry.json - Cleaned Sentry events for this run</p> <p>- target.json - Parsed stdout for Gitlab & Disease.sh targets that were tested without Sentry integration</p>
An Exploratory Study on Faults in Web API Integration in a Large-Scale Payment Company: Appendix
<p>Appendix of our "An Exploratory Study on Faults in Web API Integration in a Large-Scale Payment Company: Appendix" paper.</p>
[Supplementary material] Machine Learning-driven Testing of Web APIs
<p>This is the supplementary material of the paper entitled "Machine Learning-driven Testing of Web APIs".</p>
Detecting Usage of Deprecated Web APIs via Tracing: Replication Package
<p>Replication package for "Detecting Usage of Deprecated Web APIs via Tracing", published at 21st IEEE International Conference on Software Architecture (ICSA 2024)</p> <p> </p> <p>Changes from v2 to v3:</p> <ul> <li>readme.md: The requirements are now stated and explanations are given in more detail. Some typos in commands are fixed.</li> </ul> <p> </p> <p>Changes from v1 to v2:</p> <ul> <li>DATA: In addition to the intermedia data (output.json), the overall result files (results.json) are now provided as well for all example projects.</li> <li>IMPLEMENTATION: An incomplete version of the DeprecationDetector was present in v1. The new version includes extended matching functionality for specifications and improved export formatting.</li> <li>PROJECT: The server.jar in the client-server example project has been improved.</li> </ul>
Processed data for the "Deriving Semantics-Aware Fuzzers from Web API Schemas" paper
<p>Processed data for the "Deriving Semantics-Aware Fuzzers from Web API Schemas" paper. Each directory in the archive consists of:</p> <p>- metadata.json. Metadata about a test run - tested fuzzer name, run duration, etc</p> <p>- fuzzer.json - Structured fuzzer output</p> <p>- deduplicated_cases.json - Deduplicated reported failures, when fuzzers provide it</p> <p>- sentry.json - Cleaned Sentry events for this run</p> <p>- target.json - Parsed stdout for Gitlab & Disease.sh targets that were tested without Sentry integration</p>
Web scraping and API projects from "Online Data Collection and Management" (Spring 2022)
<p>As part of "Online Data Collection and Management" (taught at Tilburg University, Spring 2022), students collected publicly available datasets for use in academic research projects. With this repository, I am sharing (a) the documentation of these data sets, and (b) the associated source code that led to the collection of the data. The repository also contains the collected datasets.</p> <p>The data consists of the following projects:</p> <ul> <li>Autoscout (electric cars vs gasoline cars in the Dutch market)</li> <li>Mediamarkt (e-commerce)</li> <li>Steam API</li> <li>Twitch (chat capture)</li> <li>Zalando (e-commerce)</li> </ul> <p>Course website: https://odcm.hannesdatta.com. Archived at https://doi.org/10.5281/zenodo.6641811 (check for more recent versions if available).</p>
Unprocessed data for the "Property-Based Testing of Web APIs" paper
<p>Unprocessed data for the "Property-Based Testing of Web APIs" paper. </p>
Semantic Parameter Matching in Web APIs with Transformer-based Question Answering
<p>This repository contains the evaluation results of our study, as well as datasets and model checkpoints. <br> For a detailed overview regarding the provided materials, please refer to README.md.</p>
Do Design Rules Have an Impact on the Understandability of RESTful APIs? A Web-Based Experiment with API Descriptions
<p>This repository contains materials of a controlled experiment with 105 participants that studied the impact of design rules on the understandability of RESTful APIs.</p> <p>The following materials are provided:</p> <ul> <li>The data set (<code>results.csv</code>) with a description (<code>data-set-description.md</code>)</li> <li>The cleaning protocol (<code>data-cleaning-protocol.md</code>)</li> <li>The R analysis script (<code>analysis.R</code>)</li> <li>The two OpenAPI documents used as the foundation for the experiment <ul> <li>Adhering to the rules: <code>openapi-rules.yaml</code></li> <li>Violating the rules: <code>openapi-violations.yaml</code></li> </ul> </li> </ul>
Unprocessed data for the "Deriving Semantics-Aware Fuzzers from Web API Schemas" paper.
<p>Unprocessed data for the "Deriving Semantics-Aware Fuzzers from Web API Schemas" paper.</p>
Companion Web Page for "Empirical Evidence of Large-Scale Diversity in API Usage of Object-Oriented Software"
<p>dataset-jars-scam2013.zip:</p> <ul> <li>Content: 3 418 Jar files, which include 382 774 different types (classes or interfaces).</li> <li>Source: All Jar files present on a machine used for performing software mining experiments for 7 years.</li> </ul> <p>type-usages-20130622.zip:</p> <ul> <li>Content: All the type-usages, filtered by type of the type-usage</li> </ul> <p>Software:</p> <ul> <li>Software to extract type-usages: <a href="https://github.com/monperrus/typeusage">https://github.com/monperrus/typeusage</a></li> </ul> <p> </p> <p>Paper:</p> <pre>@inproceedings{Mendez2013, title = {Empirical Evidence of Large-Scale Diversity in API Usage of Object-Oriented Software}, author = {Mendez, Diego and Baudry, Benoit and Monperrus, Martin}, url = {<a href="https://hal.archives-ouvertes.fr/hal-00844753/file/article.pdf">https://hal.archives-ouvertes.fr/hal-00844753/file/article.pdf</a>}, booktitle = {{International Conference on Source Code Analysis and Manipulation (SCAM'2013)}}, pages = {10}, year = {2013}, doi = {<a href="https://doi.org/10.1109/SCAM.2013.6648183">10.1109/SCAM.2013.6648183</a>}, } </pre>
RESTBERTa: A Transformer-based Question Answering Approach for Semantic Search in Web API Documentation
<p>This repository contains the datasets and evaluation results of our study.<br> For a detailed overview regarding the provided materials, please refer to README.md.</p>
SSC 4D Orbit Viewer Web Services API at the Space Physics Data Facility (SPDF)
This API allows any web application to offer an interactive 4D display of the trajectories of satellites known to SSCweb (Satellite Situation Center). The Space Physics Data Facility (SPDF) is the archive of non-solar data for the Heliospheric Science Division (HSD) at NASA's Goddard Space Flight Center.
MODIS Web Service API
The MODIS Web service provides users with subsets of MODIS Land Products through standards based SOAP (Simple Object Access Protocol) Web service.
Heliocentric Trajectories Web Services API at the Space Physics Data Facility (SPDF)
The Heliocentric Trajectories Web services allow a software developer to use portions of the HelioWeb data in their own application. The Space Physics Data Facility (SPDF) is the archive of non-solar data for the Heliospheric Science Division (HSD) at NASA's Goddard Space Flight Center.
MODAPS Web Services API for LANCE-MODIS
MODAPS Web Services API for LANCE-MODIS. This Application Programming Interface (API) encompasses a library of functions that provides programmatic data access to MODIS near-real-time data products. These routines enable both SOAP and REST based web service calls against the LANCE-MODIS near-real-time data archives. These routines mirror existing LAADS Web services.
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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.