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Dataset results
172 results for “Engineering studies”
Evaluating Mechanically Engineered Stem Cell Exosomes for Treating Endometrial Injury: A Clinical Study
ClinicalTrials.gov study NCT06896747. IPD Sharing: YES. Countries: 1. Publications: 6.
A Randomized Phase 2 Study of Atezolizumab (an Engineered Anti-PDL1 Antibody) Compared With Docetaxel in Participants With Locally Advanced or Metastatic Non-Small Cell Lung Cancer Who Have Failed Pla
ClinicalTrials.gov study NCT01903993. IPD Sharing: Not stated. Countries: 13. Publications: 5.
Study of Redirected Autologous T Cells Engineered to Contain Anti-CD19 Attached to TCR and 4-1BB Signaling Domains in Patients With Chemotherapy Resistant or Refractory Acute Lymphoblastic Leukemia
ClinicalTrials.gov study NCT02030847. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Phase II Study of Metastatic Cancer That Overexpresses P53 Using Lymphodepleting Conditioning Followed by Infusion of Anti-P53 TCR-Gene Engineered Lymphocytes
ClinicalTrials.gov study NCT00393029. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Replication Package: A Study on the Accuracy of OCR Engines for Source Code Transcription from Programming Screencasts
<p>The replication package of the paper "A Study on the Accuracy of OCR Engines for Source Code Transcription from Programming Screencasts" including the dataset, results and tools</p>
Dataset for paper: Research Artifacts in Secondary Studies: A Systematic Mapping in Software Engineering
Open the record for dataset details and reuse information.
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>
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>
Molecular basis for the increased affinity of an RNA recognition motif with re-engineered specificity: A molecular dynamics and enhanced sampling simulations study- Part 3
<p>Trajectories and input files for the simulations of the Rbfox·pre-miR20b complex.</p>
Molecular basis for the increased affinity of an RNA recognition motif with re-engineered specificity: A molecular dynamics and enhanced sampling simulations study- PART 2
<p>Trajectories and input files of the simulations of the free pre-miR20b.</p>
Molecular basis for the increased affinity of an RNA recognition motif with re-engineered specificity: A molecular dynamics and enhanced sampling simulations study-PART 7
<p>Simulations of the Rbfox*-miR20b and of the Rbfox-mir20b* complexes.</p>
Structural studies of the IFNλ4 receptor complex using cryoEM enabled by protein engineering
<p>MD trajectories for use with the analysis code in https://github.com/bylehn/ifnl4-structure-paper</p>
Theory Use In Software Engineering: A Systematic Mapping Study
<p><strong>Abstract </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’ quality,<br>research topics, methods, types, theory types, theory roles, and publication venues.</p> <p><strong>Results</strong>: Our results showed that the term “theory” 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>
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 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>
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. Farré, 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>
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. Farré, X. Franch, C. Quer. 2021. Inclusion and Exclusion Criteria in Software Engineering Tertiary<br> Studies: A Systematic Mapping and Emerging Framework. ESEM '21, <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>
Emergent Solutions on Requirement Engineering for Agile Software Development: A tertiary study (Auxiliary Documentation in PDF)
<p><strong>[Context and motivation]</strong> 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> Trying to work with RE in a traditional way for ASD can limit ASD'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. <br> <strong>[Principal ideas/results]</strong> 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. <br> <strong>[Contribution]</strong> 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 - 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>
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>
Understanding Requirements Engineering Debt: Study Material
<p>This upload contains additional material for the study titled "An initial Theory to Understand and Manage Requirements Engineering Debt in Practice." In detail, the upload contains</p> <ol> <li>the interview protocol as well as the codebook used for coding the interview transcripts,</li> <li>the survey protocol including all survey questions, and</li> <li>an initial attempt at visualizing the resulting theory.</li> </ol> <p>Note that any sensitive data (interview transcripts, survey responses) could not be disclosed.</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.