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478 results for “artifact”
Artifacts for the Paper: Analyzing the Feasibility of Adopting Google's Nonce-Based CSP Solutions on Websites
<p>This is the artifact for the Paper "Analyzing the Feasibility of Adopting Google's Nonce-Based CSP Solutions on Websites" in Proceedings of the IEEE/ACM International Conference on Software Engineering (ICSE), 2025. </p>
Raw data and R code for the stone artifact analysis in "Lithic miniaturization in South China since the terminal Pleistocene: a multivariate analysis of lithic reduction from Fodongdi, Fulin and Xiqiaoshan"
Open the record for dataset details and reuse information.
Artifacts for the SPLC 2020 Paper "A Conceptual Model for Unifying Variability in Space and Time" and the ESE journal extension "A Conceptual Model for Unifying Variability in Space and Time: Rationale, Validation, and Illustrative Applications"
<p>These artifacts relate to the SPLC'20 research paper "A Conceptual Model for Unifying Variability in Space and Time" and the Empirical Software Engineering journal extension "A Conceptual Model for Unifying Variability in Space and Time: Rationale, Validation, and Illustrative Applications."</p>
Artifacts for Prioritizing Test Scripts for the Testing of Memory Bloat in Web Applications
<p>Artifacts for the paper "Prioritizing Test Scripts for the Testing of Memory Bloat in Web Applications", including the source code, links to the subject web apps, the test scripts, and the execution records.</p>
Artifacts for the VaMoS 2022 Paper - Unified Operations for Variability in Space and Time
<p>These artifacts relate to the VaMoS'22 research paper "Unified Operations for Variability in Space and Time".</p>
The artifact for the paper "Demystifying the Dependency Challenge in Kernel Fuzzing" in ICSE 2022 Technical Tracks.
<p>This artifact is for the paper "Demystifying the Dependency Challenge in Kernel Fuzzing" in ICSE 2022 Technical Tracks.</p> <p>More detail and update please refer to https://github.com/ZHYfeng/Dependency.</p>
Research Artifacts - An Anomaly-based Approach for Detecting Modularity Violations on Method Placement
<p>This record contains research artifacts of our paper.</p> <p>The description of each file is as follows.</p> <ul> <li>case_study.xlsx: a spreadsheet that contains a list of our detected cases and results of our manual inspection</li> <li>java-large+.tar.gz: a preprocessed dataset used for training our detection model</li> <li>model_parameters.ckpt.gz: trained parameters and a word dictionary of our neural network model</li> <li>src.tar.gz: source code of our neural network model written in Python and a dataset preprocessor written in Java</li> </ul>
Artifacts for ASE 2022 Paper Submission # 1095
<p><strong>This data set is for ASE 2022 Paper Submission #1095</strong></p>
Artifact for an optimized polite combination method
<p>The artifact contains the binary, challenge benchmark and results of running with and without the optimization.</p> <p>It also includes instructions for reproduction.</p>
Theta on SV-COMP 2022: Comparative Evaluation of Results (artifact)
<p>Comparative evaluation of Theta and some other SV-COMP C verifiers on the dataset of Reach Safety results on SV-COMP 2022.</p> <p>(Artifact for the MSc Project Laboratory 1 report)</p>
Customizable Visualization of Quality Metrics for Object-Oriented Variability Implementations - Artifact
<p>This archive contains all the README files documenting the artifact (<a href="https://doi.org/10.5281/zenodo.6644449">https://doi.org/10.5281/zenodo.6644449</a>) to reproduce the results presented in the "Customizable Visualization of Quality Metrics for Object-Oriented Variability Implementations" paper presented at SPLC 2022.</p> <p>It also contains:</p> <ul> <li>the codebases of JFreeChart before and after the maintenance actions presented in section 5.2, with the corresponding diff file, as well as excerpts of the SonarQube analysis of both projects showing the information presented in table 3;</li> <li>the Excel file used to obtain the data presented in the table 2.</li> </ul> <p>An exhaustive description of the archive can be found in the README.md file.</p>
Artifacts Package - "Software Security during Modern Code Review: The Developer's Perspective"
<p>Artifacts Package of the accepted FSE 22 paper: "Software Security during Modern Code Review: The Developer's Perspective".</p>
The Artifact of the TSE Submission #TSE-2022-12-0520
<p>In this online repository, we open source the source code of each standalone technique as well as the fusion approaches implemented by ourselves (stored in the <em>Fusion_approach.zip</em> file).</p> <p> </p> <p>Our evaluation is based on the large-scale CodeSearchNet dataset, which can be accessed through its <a href="https://github.com/github/CodeSearchNet">official webpage</a>.</p> <p> </p> <p>We also provide the experimental results we obtained in our study, including the rank and score results from each standalone techniques (stored in the <em>Standalone_Java.zip</em> and <em>Standalone_Python.zip</em> files) and the fusion results (stored in the <em>Fusion_results.zip</em> file).</p>
Inference and Test Generation Using Program Invariants in Chemical Reaction Networks Artifacts
<p>The artifacts for Inference and Test Generation Using Program Invariants in Chemical Reaction Networks, published at ICSE 2022.</p> <p>The pdf of the paper can be accessed at <a href="https://ieeexplore.ieee.org/document/9794130">IEEEXplore</a>.</p> <p><strong>To cite this work, please use the citation below:</strong></p> <pre>@INPROCEEDINGS{GertenICSE22, author={Gerten, Michael C. and Marsh, Alexis L. and Lathrop, James I. and Cohen, Myra B. and Miner, Andrew S. and Klinge, Titus H.}, booktitle={2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE)}, title={Inference and Test Generation Using Program Invariants in Chemical Reaction Networks}, month={May}, year={2022}, pages={1193-1205}, doi={10.1145/3510003.3510176}}</pre> <p>The artifacts are also available on <a href="https://github.com/LavaOps/ICSE-2022-Artifacts">GitHub</a>.</p> <p><strong>This is an updated version of the ChemFlow tool. The update addressed an overflow error when computing gaussian elimination that could result in incorrect invariants with certain model inputs. After verification, all models in this work were not affected by this bug and have the same set of invariants generated by both versions. We have updated the docker file to use the new code as well.</strong></p>
Fulfilling Industrial Needs for Consistency Among Engineering Artifacts - Evaluation Data
<p>This is a dataset with the evaluation data from the paper entitled "Fulfilling Industrial Needs for Consistency Among Engineering Artifacts". The dataset also contains two demo videos showing the approach being used in practice.</p>
UNCW Archaeology Lab Artifact of the Week #10
Artifact of the Week #10 Source: Objaverse 1.0 / Sketchfab
Artifact for "CTMCs with Imprecisely Timed Observations"
<p>This artifact contains an implementation of the approach from the paper <em>"CTMCs with Imprecisely Timed Observations" </em>presented at <em>TACAS 2024.</em><br>The implementation is written in Python and builds upon the probabilistic model checker <a href="https://www.stormchecker.org/">Storm</a>.<br>The artifact contains all benchmarks (CTMC models, properties, and evidences) used in the numerical experiments presented in Section 6 of the paper.<br>The artifact allows to reproduce all the results of the numerical experiments, in particular, Table 2 and Figure 6 (in the main paper) and Figure 8 (in the appendix).</p> <p>The artifact is licensed under GPL-3.0<br>Please see the <em>README</em> within the zip archive on how to obtain, build and run the artifact.</p> <p> </p> <p>Requirements:<br>No special requirements are needed, the artifact works without an internet connection.<br>Building the artifact requires 1-2 hours.<br>Running all experiments requires roughly 4 hours.</p>
UNCW Archaeology Lab Artifact of the Week #9
Artifact of the Week #9 Source: Objaverse 1.0 / Sketchfab
Artifact of the Week #3
Artifact of the Week #3 UNCW Archaeology Lab 2021 Source: Objaverse 1.0 / Sketchfab
[artifact] Misconceptions About Loops in C
<p>NOTE: PLEASE VERIFY INTEGRITY AFTER DOWNLOAD:</p> <p>- SHA-256: eb5dab87eb050ddb23b2041e6e2727ad41a01bb2eeca82dccf1f4517e0114cc8</p> <p>IF HASHES DO NOT MATCH, PLEASE RE-DOWNLOAD AND VERIFY AGAIN.</p> <p>-----------------------------------------------------------------------------------------</p> <p>This artifact collects the examples used in the paper and provides them<br>as a test suite. Each example is a separate program that can be used in a<br>number of ways. The program’s text is used in the paper. No results are<br>generated.</p> <p>Each program takes a single input that controls which path through<br>the program is taken and gives a single output that records which branches<br>were taken. This allows them to be used for back-to-back testing with<br>compilers, interpreters, source-to-source translation, or dynamic analysis<br>tools. If the input/output relation changes, then transformation is buggy<br>and unable to handle that kind of loop.</p> <p>They also have assertions that hold true only for valid paths through<br>the program, making them ideal for testing with static analysis tools. If<br>an assertion fails, it indicates a bug in the static analysis tool.<br>To demonstrate how these can be used, we provide a setup to test<br>CBMC.</p>
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.