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199 results for “software studies”

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zenodo32/100

Bridging the Language Gap: An Empirical Study of Bindings for Open Source Machine Learning Libraries in Software Package Ecosystems

<p>Replication package for the paper "Bridging the Language Gap: An Empirical Study of Bindings for Open Source Machine Learning Libraries in Software Package Ecosystems "</p>

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

Data and software for "A numerical study of inhibiting effect and mechanism of thermal front on sediment transport in a stratified continental sea"

<p>Data and software for "A numerical study of inhibiting effect and mechanism of thermal front on sediment transport in a stratified continental sea"</p>

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

Automatic Bottom-Up Taxonomy Construction: A Software Application Domain Study - Data

Open the record for dataset details and reuse information.

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

Theory Use In Software Engineering: A Systematic Mapping Study

<p><strong>Abstract&nbsp;</strong></p> <p><strong>Context</strong>: The use of theories in Software Engineering research is not as common or explicit as in other fields,<br>with most studies focusing on technical aspects. However, establishing a more robust theoretical foundation could<br>significantly contribute to the maturation of Software Engineering as a science.</p> <p><strong>Objective</strong>: Therefore, this study investigates the use of theory in software engineering by applying the snowballing<br>technique to systematic literature reviews indexed by the main online databases over the last 16 years. It also analyzes<br>the extent of theory use and what, how, and where these theories are used.</p> <p><strong>Method</strong>: We conducted a systematic mapping study to classify evidence on theory definitions, papers&rsquo; quality,<br>research topics, methods, types, theory types, theory roles, and publication venues.</p> <p><strong>Results</strong>: Our results showed that the term &ldquo;theory&rdquo; varied among the literature due to inconsistent terminology,<br>thus necessitating a comprehensive approach for accurate identification. Although many theories are cited, only a tiny<br>percentage see repeated application across studies, with limited testing for relevance to practical software engineering<br>contexts.</p> <p><strong>Conclusion</strong>: Despite the increase in proposed theories, software engineering requires further attention to mature, as<br>most papers primarily use theory to justify or motivate experimental research questions. Furthermore, although there<br>is a diversity of research topics and an adaptation of external theories, only 16% of studies explicitly operationalize<br>theory, highlighting the need for more intentional theoretical integration and developing SE-specific frameworks.</p>

opencc-by-4.0Sep 2023View details →
zenodo32/100

Architecturally Significant Requirements and Software Architecture for AI-Based Systems: A Case Study with Document Classification

Open the record for dataset details and reuse information.

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

Empirical Study and Vision for a Holistic Serious Game Platform for Software Engineering Education

<p>Serious games are becoming increasingly popular in universities to motivate students. Therefore, more and more lecturers are using game-based learning to encourage students to learn the subject matter. However, using serious games in Software Engineering (SE) lectures at universities is rather challenging as the subject is very practice-oriented and requires special kinds of tasks, e.g., practicing programming, software modeling, etc. Thus, building serious games and integrating such SE-specific tasks is a serious technical challenge and requires immense development effort. Therefore, before developing new games, students' preferences should be analyzed to increase the chances that these games will be played. To address this issue, we conducted an empirical study with 105 students to investigate the requirements and chances for using serious games in &nbsp;SE education in universities. Our analysis shows that students' preferences vary significantly and that there is no clear indication of a single game type that motivates all students equally. Therefore, our second contribution is a vision for a microservice-based Holistic Serious Game Platform for Software Engineering Education, which supports efficiently developing different serious games and integrating SE-specific mini-games and tasks. Hence, our empirical results and the presented approach support advancing research and development of serious SE games and also sensitize game developers to the needs of SE education.</p>

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

Appendix for "A Data-Centric Study of Software Tutorial Design"

<p>This appendix contains details of the systematic study methodology and an evaluation sample of the data necessary to independently validate and replicate the findings on tutorial design that are presented in the paper &quot;A Data-Centre Study of Software Tutorial Design&quot;.</p>

opencc-by-nc-4.0May 2021View details →
zenodo32/100

How Tertiary Studies perform Quality Assessment of Secondary Studies in Software Engineering - Replication Package

<p>Replication Package for the paper:</p> <p>D. Costal, C. Farr&eacute;, X. Franch, C. Quer. 2021. How Tertiary Studies perform Quality Assessment of Secondary Studies in Software Engineering. CIbSE 2021.</p> <p>Please refer to the above paper if you want to cite/use this data.</p>

opencc-by-4.0May 2021View details →
zenodo32/100

Inclusion and Exclusion Criteria in Software Engineering Tertiary Studies: A Systematic Mapping and Emerging Framework - Replication Package

<p>Replication Package for the paper:</p> <p>D. Costal, C. Farr&eacute;, X. Franch, C. Quer. 2021. Inclusion and Exclusion Criteria in Software Engineering Tertiary<br> Studies: A Systematic Mapping and Emerging Framework.&nbsp;ESEM &#39;21,&nbsp;<a href="https://doi.org/10.1145/3475716.3484190">https://doi.org/10.1145/3475716.3484190</a></p> <p>Please refer to the above paper if you want to cite/use this data.</p>

opencc-by-4.0Jul 2021View details →
zenodo32/100

Injecting Software Faults in Python Applications: The OpenStack Case Study - Supplemental Material (https://rdcu.be/cAPUh)

<p>Injecting Software Faults in Python Applications: The OpenStack Case Study - Supplemental Material<br> Link to the paper: <a href="https://rdcu.be/cAPUh">https://rdcu.be/cAPUh</a></p>

opencc-by-4.0Jul 2021View details →
zenodo32/100

Emergent Solutions on Requirement Engineering for Agile Software Development: A tertiary study (Auxiliary Documentation in PDF)

<p><strong>[Context and motivation]</strong>&nbsp;Agile Software Development (ASD) is a new trend in software development and has become popular. Its advocates claim that ASD is well suited to solving traditional software development problems by valuing human factors over technical ones. However, one of the most critical phases in software development, Requirements Engineering (RE), can be overwhelming for ASD values.<br> <strong>[Question/problem]</strong>&nbsp;Trying to work with RE in a traditional way for ASD can limit ASD&#39;s potential. Therefore, it is necessary to investigate what academia and industry have done in RE to exploit all of the capabilities of ASD beyond traditional RE.&nbsp;<br> <strong>[Principal ideas/results]</strong>&nbsp;This work presents an overview of the state-of-the-art Requirement Engineering (RE) for Agile Software Development (ASD). We conducted a Tertiary Study in secondary studies published from 1st January 2015 to 30th June 2021, looking for solutions for RE-ASD using the Systematic Literature Review (SLR) protocol described by Kitchenham and Charters (2007). After executing the SLR protocol, we accepted 37 out of 169 studies and encountered 136 solutions used by academia and industry for RE-ASD. We considered only a few solutions that could be classified as emergent for RE-ASD, 24 out of 106. Furthermore, we cataloged the challenges presented by the emergent solutions (e.g., a steep learning curve due to the lack of experience, process, or culture) that should be addressed. Finally, we identified a possible gap between academia and industry regarding these emerging solutions that need further investigation.&nbsp;<br> <strong>[Contribution]</strong>&nbsp;By highlighting emerging Requirements Engineering (RE) solutions for Agile Software Development (ASD), we made our contribution to help researchers who need to propose new solutions to some of the problems that remain unsolved by pointing out the recent trends for RE for ASD.</p> <p>The repository contains the following:</p> <ul> <li>Auxiliary Documentation in PDF;</li> <li>Dataset from the Tertiary Study -&nbsp;compressed file (refsq2023Complement.zip): <ul> <li> <p><strong>REFSQ2023-ALL-ARTICLES.csv:</strong> is a comma-separated file with all 198 (including the duplicates) found in our search in the digital libraries with their respective status (accepted, rejected, or duplicated).</p> </li> <li> <p><strong>REFSQ2023-DISTINCT-SOLUTIONS.csv:</strong> is a comma-separated file with all the distinct solutions we found in our research. They are classified according to our classification method, explained in the article.</p> </li> <li> <p><strong>REFSQ2023-GOOGLE-TRENDS-RESULTS.csv:</strong> is a comma-separated file with all results of our query in the Google Trends tool. It also brings the used search terms and the code and classification of each solution.</p> </li> </ul> </li> </ul>

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

Results and assumptions for: Modeling the Circular Economy in Environmentally Extended Input-Output Tables: methods, software and case study

<p>This dataset presents supplementary information for <em>&quot;Modeling the Circular Economy in Environmentally Extended Input-Output Tables: methods, software and case study&quot;&nbsp;</em><a href="https://doi.org/10.1016/j.resconrec.2019.104508">https://doi.org/10.1016/j.resconrec.2019.104508</a></p> <p>The data was processed and results were obtained through https://cmlplatform.github.io/pycirk/</p> <p>&nbsp;</p> <p><br> Annex I: Scenario assumptions and modeling choices and complete results (file Annex_I.xlsx)&nbsp; &nbsp;<br> Annex II: Contains analysis of other software, database modifications, and list of affected categories (file Annex_II.docx)&nbsp; &nbsp; &nbsp; &nbsp;<br> Results: settings, assumptions, results and their analysis from the case study presented in the paper (file Donati_CE_EEIO_Mo_SI.tar.gz)</p>

opencc-by-4.0Nov 2018View details →
zenodo32/100

Extraction Forms about Challenges and Problems of Software Processes in the Context of Global Software Development: A Systematic Mapping Study

<p>Extraction Forms of the Systematic Mapping Study about Challenges and Problems of Software Processes in the Context of Global Software Development. 50 papers were analized.</p>

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

Supporting Students in Team-Based Software Development Projects: An Exploratory Study - Dataset

<p>Dataset for the paper &quot;Supporting Students in Team-Based Software Development Projects: An Exploratory Study&quot;</p>

opencc-by-4.0Feb 2023View details →
zenodo32/100

Studies Rejected and Selected on the Systematic Mapping of Open Science Practices in Software Engineering

<p>Files in .xlsx format, describing the rejected and selected studies, recovered in a Systematic Mapping about Open Science Practices in Software Engineering.</p>

opencc-by-4.0Feb 2023View details →
zenodo32/100

Online Appendix of "Why Don't We Trace? A Study on the Barriers to Software Traceability in Practice"

<p>This is the online appendix of the paper &quot;Why Don&#39;t We Trace? A Study on the Barriers to Software Traceability in Practice&quot;, authored by Marcela Ruiz, Jimmy Hu, and Fabiano Dalpiaz.</p> <p>This contains five files:</p> <ul> <li>Software traceability survey.pdf - a PDF version of the survey that was used in the paper to collect information about traceability practices and the challenges experienced by practitioners;</li> <li>Software_traceability_InterviewProtocols.pdf - the interview protocol that was used to complement the survey with more in-depth information;</li> <li>Survey_Demographics_Final_V2.0.xlsx - demographic information about the participants in our study;</li> <li>Survey_SPSS.xlsx - the raw data used for the analysis via SPSS, and the results obtained through SPSS;</li> <li>Survey_StackedBar_Final_V1.4.xlsx - the Excel sheet we used to generate the stacked bar charts shown in the paper.</li> </ul>

opencc-by-4.0Jun 2023View details →
zenodo32/100

Exploring Interplays in Performance Metrics of Configurable Software Systems: the JHipster Case Study

<p>This dataset contains all the performance metrics obtained for the paper "Exploring Interplays in Performance Metrics of Configurable Software Systems: the JHipster Case Study".</p>

opencc-by-4.0Jul 2023View details →
zenodo32/100

Estimation of the Uncertainties Introduced in Thermal Map Mosaic: A Case of Study with PIX4D Mapper Software

<p>Available data sets, used to analyse problems related to thermal mapping obtained from thermal data acquired from unmanned aerial systems (UAS) equipped with thermal cameras. We focused on an accurate analysis of uncertainties introduced by the PIX4D Mapper software.</p>

opencc-by-4.0Sep 2023View details →
zenodo32/100

Package for An Observational Study of ChatGPT Usage in Software Engineering Practice

<p>The package includes CSV files, and the exit form used by participants in our paper titled: "Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice".</p> <p>This package has been accepted for the FSE 2024 research track: https://2024.esec-fse.org/details/fse-2024-research-papers/43/Beyond-Code-Generation-An-Observational-Study-of-ChatGPT-Usage-in-Software-Engineeri</p>

opencc-by-4.0Sep 2023View details →
zenodo32/100

ChatGPT as a Software Development Bot: A Project-based Study

<p>This dataset is composed of four sheets:</p><ul><li><strong>Entry Survey Questionnaire</strong>: This sheet contains 44 survey questions, organized into three major sections, that we asked from students before beginning the developments.</li><li><strong>Exit Survey Questionnaire</strong>: This sheet includes 114 survey questions, organized into five major sections, that we asked from students after three months of development on three projects.</li><li><strong>Entry Survey Results</strong>: This sheet provides the analyzed responses that were collected from the Entry Survey Questionnaire.</li><li><strong>Exit Survey Results</strong>: This sheet provides the analyzed responses that were obtained from the Exit Survey Questionnaire.</li></ul>

opencc-by-4.0Oct 2023View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
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.

dandi-nwb
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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.