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7 results for “Architectural decision-making”

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zenodo40/100

Additional Material for Debiasing architectural decision-making: a workshop-based training approach

<p>This additional material was created to enable full replication of the experiment described in the paper:<br> &quot;Klara Borowa, Maria Jarek, Gabriela Mystkowska, Weronika Paszko and Andrzej Zalewski: <strong>Debiasing architectural decision-making: a workshop-based training approach</strong>&quot;.<br> The paper was accepted for publication at ECSA 2022 (The 16th European Conference on Software Architecture).<br> <br> The folder contains the following files:<br> Coding-details.xlsx - the coding scheme, as well as coding results. Contains all code counts for each team participating in the experiment.<br> Experiment-meeting-plan.pdf - contains the plan for the 3-hour meeting during which the experiment was conducted, as well as a timetable of when each meeting took place and who organised it.<br> Debiasing-workshop-slides.pdf - slides used during the debiasing workshop.<br> Debiasing-workshop-plan.pdf - detailed instruction for workshop organisers, what should be said and done during the workshop.<br> Participants_questionnaire_and_results.xlsx - questionnaire questions used to obtain information about participants, as well as questionnaire results for all 44 participants.</p>

opencc-by-4.0Jun 2022View details →
zenodo40/100

BRAIN Journal-Brain-Like Artificial Intelligence for Automation-Figure 17. Autonomous Decision-Making Architecture

<p>An overview of the decision-making architecture is presented in Figure 17. The architecture was<br> guided by two core concepts. The first core concept is that human intelligence bases on a<br> combination of low-level and high-level mechanisms. Low-level mechanisms are mainly<br> predefined. They are not in all situations completely accurate but have the advantage of being fast.<br> High-level mechanisms are not predefined and thus slower but more accurate. The second core<br> concept concerns the use of so-called emotions as mechanism for the evaluation of information</p>

opencc-by-4.0Oct 2013View details →
zenodo36/100

Additional Material for Debiasing architectural decision-making: a workshop-based training approach

<p>This additional material was created to enable full replication of the experiment described in the paper:<br> &quot;Klara Borowa, Maria Jarek, Gabriela Mystkowska, Weronika Paszko and Andrzej Zalewski: <strong>Debiasing architectural decision-making: a workshop-based training approach</strong>&quot;.<br> The paper was accepted for publication at ECSA 2022 (The 16th European Conference on Software Architecture).<br> <br> The folder contains the following files:<br> Coding-details.xlsx - the coding scheme, as well as coding results. Contains all code counts for each team participating in the experiment.<br> Experiment-meeting-plan.pdf - contains the plan for the 3-hour meeting during which the experiment was conducted, as well as a timetable of when each meeting took place and who organised it.<br> Debiasing-workshop-slides.pdf - slides used during the debiasing workshop.<br> Debiasing-workshop-plan.pdf - detailed instruction for workshop organisers, what should be said and done during the workshop.<br> Participants_questionnaire_and_results.xlsx - questionnaire questions used to obtain information about participants, as well as questionnaire results for all 44 participants.</p>

opencc-by-4.0Jun 2022View details →
zenodo32/100

Additional Material for: Debiasing Architectural Decision-Making: An Experiment With Students and Practitioners

<p>Additional Material for: Debiasing Architectural Decision-Making: An Experiment With Students and Practitioners submitted to ICSA 2025.<br><br>The files contain:<br>1. README.md - A short file describing the contents of the replication package.<br>2. Coding guide.docx - a guide used for coding, with examples from the experiment's participants.<br>3. Coding_results.xlsx - data with all measurements for all participants.<br>4. Questionnaire.xlsx - questionnaire used to gather demographic participant's data.<br>5. Experiment-plan.docx - the detailed plan of all the experiment steps.<br>6. Debiasing-workshop-slides.pptx - slides used during the debiasing workshop.<br>7. Debiasing-workshop-plan.docx - a detailed plan of the debiasing workshop, explaining how exactly the debiasing presentation should be used.<br>8. Consent_form.docx - a consent form that was signed by the participants from one of the author's countries, where guidelines suggested the use of gathering additional written consent.<br><br></p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Additional Material for Debiasing Architectural Decision-Making: Teaching Software Practitioners

<p>Additional material for the paper subsmission "Debiasing Architectural Decision-Making: Teaching Software Practitioners".<br><br>Coding_info.xlsx - Code description as well as code measurements for all coded values.<br>Experiment-plan.docx - Instructions used by authors which performed the experiment.<br>Debiasing-workshop-plan.docx - Instruction for the teacher conducting the workshop, specifying what should be done while showcasing particular presentation slides.<br>Debiasing-workshop-slides.pptx - Slides used during the debiasing workshop.<br>Questionaire_and_test.xlsx - Questionnaire used to gather information about the participants + Simple test used as the last step of the workshop.</p>

opencc-by-4.0Apr 2024View details →
zenodo28/100

Data for the study: Decision-Making Support for Data Integration in Cyber-Physical-System Architectures

<p>The folder contains the scripts and models used in this study&nbsp;</p>

opencc-by-4.0Sep 2023View details →
zenodo28/100

Additional Material for Debiasing Architectural Decision-making: An Experiment With Software Practitioners

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2023View details →

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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.

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Annotated Behaviour and Observability Dataset (ABODe)

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

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electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record