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Dataset results
199 results for “software studies”
200 Python selected projects for various software engineering studies
<p>History of 200 open-source Python projects hosted on GitHub - git clone at Feb 2022</p>
Supplementary material of the study "Help! I need somebody. A Mapping Study about Expert Identification in Software Development"
<p><strong>Supplementary Material</strong></p> <p><em><strong>Context</strong></em>: Software development is a knowledge-intensive activity, and its success in an organization relies deeply on knowledge sharing. Knowledge management challenges are often increased in agile environments, which involve a lot of tacit knowledge, commonly acquired through experiences and hard to be made explicit. Therefore, knowledge sharing among practitioners is crucial. However, identifying suitable experts to share specific knowledge is not trivial. It involves not only discovering the individuals with the desired knowledge but also considering other factors that may improve the expert responsiveness, such as social connections and availability. <em><strong>Objective</strong></em>: Considering the important role experts play in knowledge sharing, we decided to investigate approaches that help identify experts that can share knowledge in software development. Our goal is to provide a panorama of the existing approaches and shine a light on research opportunities. <em><strong>Method</strong></em>: We carried out a systematic literature mapping and analyzed 17 publications. <em><strong>Results</strong></em>: The results show that most approaches have relied on code repositories as a source of evidence for identifying experts and, consequently, focus on supporting developers and aiding in the codification activity. Additionally, expert identification has been mostly automated, and factors beyond possessing the desired knowledge have often been disregarded. <em><strong>Conclusion</strong></em>: Although there are several expert identification approaches, there has been a lack of concern with factors that influence reaching the most suitable expert for a specific situation (e.g., considering the characteristics of the person seeking knowledge). Moreover, there is a need for deeper reflection on how to better explore different artifacts as sources of expert evidence and how to combine them to improve expert identification.</p> <p>This package contains supplementary material of the study performed to investigate approaches that help identify experts that can share knowledge in software development. It contains:</p> <ul> <li>A spreadsheet containing raw data (research protocol, considered and selected publications, and research questions answers).</li> </ul>
Software-Aided Imaging (Morfeus) for Confirming Tumor Coverage With Ablation in Patients With Liver Tumors, the COVER-ALL Study
ClinicalTrials.gov study NCT04083378. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Study of Stool Patterns to Collect a Panel of Stool Images for the Development of a Software
ClinicalTrials.gov study NCT03402555. IPD Sharing: NO. Countries: 2. Publications: 1.
Study of a Prototype Software to Help Surgical Patients Manage Their Pain Medication
ClinicalTrials.gov study NCT05707247. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Use of Cognitive Stimulation Software for Patients Over the Age of 70 Followed for Breast Cancer: COG-TAB-AGE Feasibility Study
ClinicalTrials.gov study NCT04261153. IPD Sharing: NO. Countries: 1. Publications: 1.
Validation Study of the Watch HWA09 and Its Softwares ECG-SW1 and PPG-SW1 for the Detection of Atrial Fibrillation
ClinicalTrials.gov study NCT04351386. IPD Sharing: NO. Countries: 1. Publications: 1.
A Process for Evaluating the Energy Efficiency of Software - Case Study A
<p>This laboratory package includes the data of the case study carried out in this work.</p> <p> </p> <p> </p>
Educational Social Software in der Bildungspraxis – Eine empirische Studie am Beispiel von Mahara.at
<p>Bei diesem Datensatz handelt es sich um die Datenbasis für die Masterarbeit mit dem Titel "Educational Social Software in der Bildungspraxis – Eine empirische Studie am Beispiel von Mahara.at".</p> <p>Es ist ein Dump einer PostgreSQL-Datenbank im Plain-Text-Format, der von einer aktiven Mahara-Instanz gezogen wurde.</p>
Expanding Search-Based Software Modularization to Enterprise-Level Projects: A Case Study at Adyen (Master's Thesis)
<p>The zip file uploaded contains the interactive 3d graphs shown in chapter 6 in the thesis. The thesis can be found on the TU Delft repository.</p>
Dataset for paper: Research Artifacts in Secondary Studies: A Systematic Mapping in Software Engineering
Open the record for dataset details and reuse information.
ICITS'24 - A Systematic Mapping Study on the Use and Development of Research Software
<p>Artifacts used for data collection and analysis of the article accepted for publication in ICITS'24.</p><p>Mourão, E., Trevisan, D., Viterbo, J. and Pantoja, C.E. (2024). A Systematic Mapping Study on the Use and Development of Research Software. In: ICITS'24 - 7th International Conference on Information Technology & Systems. Lecture Notes in Networks and Systems. Springer, Cham.</p>
Can participation in a hackathon impact the motivation of software engineering students? A preliminary case study analysis
<p>This public dataset covers the answers to both pre-hackathon and post-hackathon surveys. Additionally, we offer basic descriptive and inferential statistics related to the provided data.</p>
Conception and Design of Privacy-preserving Software Architecture Templates - Study Data & Questionnaires
<p>Resulting study data and used questionnaires of the expert-interview in the evaluation of privacy templates. This is part of the bachelor's thesis of Nikolai Prjanikov on the topic of "Conception and Design of Privacy-preserving Software Architecture Templates". </p>
Dataset for the article: A Family of Experiments to Study how Personality may Affect Software Development Effectiveness in Teams
<p>Raw Data of the article named "A Family of Experiments to Study how Personality may Affect Software Development Effectiveness in Teams"</p>
Replication package for "Blended Modeling in Commercial and Open-source Model-Driven Software Engineering Tools: A Systematic Study"
<p>Replication package for the paper <em>Blended Modeling in Commercial and Open-source Model-Driven Software Engineering Tools: A Systematic Study</em>.</p> <p>Protocol</p> <ul> <li><code>/01-protocol/protocol.pdf</code></li> </ul> <p>Data & analysis scripts</p> <p>This replication package is structured as follows:</p> <ul> <li><code>/02-search</code> - Detailed data on the <code>/academic</code> and <code>/grey literature</code> search.</li> <li><code>/03-tools</code> - Identified tools and inclusion/exclusion decisions.</li> <li><code>/04-classification_schema</code> - Classification framework and the corresponding data extraction form.</li> <li><code>/05-data</code> - Clean data in a processable form.</li> <li><code>/06-analysis</code> - Analysis scripts and results.</li> </ul>
A Cross-Domain Systematic Mapping Study on Software Engineering for Digital Twins
<p><strong>A Systematic Cross-Domain Mapping Study on the Software Engineering of Digital Twins</strong></p> <p>Manuela Dalibor, Nico Jansen, Bernhard Rumpe, David Schmalzing, Louis Wachtmeister, Manuel Wimmer, and Andreas Wortmann</p> <p>Digital Twins are currently investigated as the technological backbone for providing an enhanced understanding and management of existing systems as well as for designing new systems in various domains, e.g., ranging from single manufacturing components such as sensors to large-scale systems such as smart cities. Given the diverse application domains of Digital Twins, it is not surprising that the characterization of the term Digital Twin, as well as the needs for developing and operating Digital Twins are multi-faceted. Providing a better understanding what the commonalities and differences of Digital Twins in different contexts are, may allow to build reusable support for developing, running, and managing Digital Twins by providing dedicated concepts, techniques, and tool support. In this paper, we aim to uncover the nature of Digital Twins based on a systematic mapping study which is not limited to a particular application domain or technological space. We systematically retrieved a set of 1471 unique publications of which 529 were identified as potentially relevant and of which finally 356 were selected for further investigation. In particular, we analyzed the types of research and contributions made for Digital Twins, the expected properties Digital Twins have to fulfill, how Digital Twins are realized and operated, as well as how Digital Twins are finally evaluated. Based on this analysis, we also contribute a novel feature model for Digital Twins as well as several observations to further guide future software engineering research in this area.</p>
Supplementary Material for the Paper "Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development"
<p>Contains the supplementary material for the paper "Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development" submitted to CSCW'18. All contents are explained in the file README.txt.</p> <p><strong>Abstract:</strong><br> One way to improve the productivity of knowledge workers is to increase their self-awareness about productivity at work through self-monitoring. Yet, little is known about expectations of, the experience with and the impact of self-monitoring in the workplace. To address this gap, we studied software developers, as one community of knowledge workers. We used an iterative, feedback-driven development approach (N=20) and a survey (N=413) to infer design elements for workplace self-monitoring, which we then implemented as a technology probe called WorkAnalytics. We field-tested these design elements during a three-week study with software development professionals (N=43). Based on the results of the field study, we present design recommendations for self-monitoring in the workplace, such as using experience sampling to increase the awareness about work and to create richer insights, the need for a large variety of different metrics to retrospect about work, and that actionable insights, enriched with benchmarking data from co-workers, are likely needed to foster productive behavior change at work.</p> <p><strong>Source Code:</strong></p> <p>The source code of WorkAnalytics can be found on <strong><a href="https://github.com/sealuzh/PersonalAnalytics">GitHub</a></strong> (under the original name PersonalAnalytics). WorkAnalytics was built with Microsoft's Dot.Net framework in C# and can be used on the Windows 7, 8 and 10 operating system.</p>
Reducing the Allocation of Software Testing Demand: A Study on the Pros and Cons using STELA Tool
<p><strong>Qualitative Research</strong></p> <p>1. How long have you been on the testing team?<br><br>2. How long have you been assigning requests?<br><br>3. Do you encounter difficulties in the manual assignment process?<br><br>4. If yes, which ones?<br><br>5. Do you use automated acceptance with STELA support?<br>6. If not, why?<br><br>7. What main differences do you see between the acceptance and distribution of requests using automated acceptance with STELA support and the manual process?<br><br>8. What advantages do you see in automated acceptance with the support of STELA?<br><br>9. What disadvantages do you see in automated acceptance with STELA support?<br><br>10. How do you feel about using automated acceptance within the STELA tool?<br><br>11. What are the differences between STELA and the system used previously?</p>
Dataset of the Paper "Architecture Decisions in Quantum Software Systems: An Empirical Study on Stack Exchange and GitHub"
<p>This dataset was collected from GitHub and Stack Exchange (including Stack Overflow, Quantum Computing Stack Exchange, and Computer Science Stack Exchange) to conduct an empirical study on architecture decisions in quantum software systems. We provide below a brief description of each file:</p><p><strong>1. Dataset (GitHub).xlsx</strong></p><p>contains selected quantum software projects from GitHub with project names, issue IDs, and issue URLs and the data extracted from the GitHub issues that are related to architecture decisions in quantum software development.</p><p><strong>2. Dataset (SO).xlsx</strong></p><p>contains the IDs and URLs of Stack Overflow (SO) labeled posts and the extracted data from the Stack Overflow posts that are related to architecture decisions in quantum software development.</p><p><strong>3. Dataset (QC).xlsx</strong></p><p>contains the IDs and URLs of Quantum Computing (QC) Stack Exchange labeled posts and the extracted data from the Quantum Computing Stack Exchange posts that are related to architecture decisions in quantum software development.</p><p><strong>4. Dataset (CS).xlsx</strong></p><p>contains the IDs and URLs of Computer Science (CS) Stack Exchange labeled posts and the extracted data from the Computer Science Stack Exchange posts that are related to architecture decisions in quantum software development.</p><p><strong>5. Extracted Data (GitHub+SO+QC+CS).xlsx</strong></p><p>provides the final results of data extracted from the related GitHub issues, SO posts, QC posts, and CS posts.</p>
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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.