Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
17
datasets available to search
ShareScore release 0.9.0
Dataset results
17 results for “architecture understanding”
SyDRA: An Approach to Understand Game Engine Architecture
<p>Game engines are tools to facilitate video game development. They provide graphics, sound, and physics simulation features, which would have to be otherwise implemented by developers. Even though essential for modern commercial video game development, game engines are complex and developers often struggle to understand their architecture, leading to maintainability and evolution issues that negatively affect video game productions. In this paper, we present the Subsystem-Dependency Recovery Approach (SyDRA), which helps game engine developers understand game engine architecture and therefore make informed game engine development choices. By applying this approach to 10 open-source game engines, we obtain architectural models that can be used to compare game engine architectures and identify and solve issues of excessive coupling and folder nesting. Through a controlled experiment, we show that the inspection of the architectural models derived from SyDRA enables developers to complete tasks related to architectural understanding and impact analysis in less time and with higher correctness than without these models.</p>
TrainTicket microservice testbench extracted information for our work: Evaluating ChatGPT's Proficiency in Understanding and Answering Microservice Architecture Queries Using Source Code Insights
<p>It contains the CSV file output of our tool implemented in the paper: "Evaluating ChatGPT’s Proficiency in Understanding and Answering Microservice Architecture Queries Using Source Code Insights." applied to the TrainTicket microservice testbench. The information in this CSV was used for In-Context-Learning for ChatGPT.</p>
On the Understandability of Semantic Constraints for Behavioral Software Architecture Compliance: A Controlled Experiment
<p>Software architecture compliance is concerned with the alignment of implementation with its desired architecture and detecting potential inconsistencies. The study is specifically concerned with behavioral architecture compliance. That is, the focus is on semantic alignment of implementation and architecture. In particular, the study evaluates three representative approaches for describing semantic constraints in terms of their understandability, namely natural language descriptions as used in many architecture documentations today, a structured language based on specification patterns that abstract underlying temporal logic formulas, and a structured cause-effect language that is based on Complex Event Processing. We conducted a controlled experiment with 190 participants using a simple randomized design with one alternative per experimental unit.</p>
Dataset and Analysis Scripts for Survey "Understanding Security Tactics in Microservice APIs using Annotated Software Architecture Decomposition Models -- A Controlled Experiment"
<pre>Dataset, R-Scripts and questionnaire templates for our survey <em>Understanding Security Tactics in Microservice APIs using Annotated Software Architecture Decomposition Models -- A Controlled Experiment.</em></pre>
FIG. 6 in The architecture of Phyllanthus acuminatus Vahl: a prelude to understanding the architectural evolution in the Phyllanthaceae
FIG. 6. — Mapping of architectural models on a synthesis of the phylogeny of Phyllanthaceae according to Kathriarachchi et al. (2005); clades T1-6 and F1-4 correspond with their clades and are firmly supported by their analysis.
FIG. 5 in The architecture of Phyllanthus acuminatus Vahl: a prelude to understanding the architectural evolution in the Phyllanthaceae
FIG. 5. — Phases of development of Phyllanthus acuminatus Vahl: A, seedling (not observed); B, branching of A1 with A3 and some A2; C, sexual maturation with axes A1, A2 and A3, also development of A1'; D, E, crown broadening with reiterates A1' (arrows); F-H, adults. Crosses indicate dead or broken axes.
FIG. 1. — Axes A1, A2 and A3 in The architecture of Phyllanthus acuminatus Vahl: a prelude to understanding the architectural evolution in the Phyllanthaceae
FIG. 1. — Axes A1, A2 and A3 of Phyllanthus acuminatus Vahl. The combination of A2 and A3 is clearly similar to a compound leaf (phyllomorphic branch).
FIG. 3 in The architecture of Phyllanthus acuminatus Vahl: a prelude to understanding the architectural evolution in the Phyllanthaceae
FIG. 3. — Microscopic transversal section of mature A2 axis of Phyllanthus acuminatus Vahl. Beneath the epiderm there is no sign of phellogen. Photo by L. F. Cabrera. Scale bar: 64 µm.
Genome sequencing of 2,000 canids advances the understanding of demography, genome function and architecture
<p><strong>Background: </strong>The international Dog10K project aims to sequence and analyze several thousand canine genomes. Incorporating 20x data from 1,987 individuals, including 1,611 dogs (321 breeds), 309 village dogs, 63 wolves and four coyotes, we identify genomic variation across the canid family, setting the stage for detailed studies of domestication, behavior, morphology, disease susceptibility and genome architecture and function.</p> <p><strong>Results: </strong>We report the analysis of >48M single nucleotide, indel, and structural variants spanning the autosomes, X chromosome and mitochondria. We discover more than 75% of variation for 239 sampled breeds. Allele sharing analysis indicates that 94.9% of breeds form monophyletic clusters and 25 major clades. German Shepherd Dogs and related breeds show the highest allele sharing with independent breeds from multiple clades. On average, each breed dog differs from the UU_Cfam_GSD_1.0 reference at 26,960 deletions and 14,034 insertions greater than 50bp, with wolves having 14% more variants. Discovered variants include retrogene insertions from 926 parent genes. To aid functional prioritization, single nucleotide variants were annotated with SnpEff and Zoonomia phyloP constraint scores. Constrained positions were negatively correlated with allele frequency. Finally, the utility of the Dog10K data as an imputation reference panel is assessed, generating high confidence calls across varied genotyping platform densities including for breeds not included in the Dog10K collection.</p> <p><strong>Conclusions:</strong> We have developed a dense dataset of 1,987 sequenced canids that reveals patterns of allele sharing, identifies likely functional variants, informs breed structure, and enables accurate imputation. Dog10K data are publicly available</p>
Replication Package for the Paper: Understanding Architecture Erosion: The Practitioners' Perceptive
<p>This is the replication package for the paper: "Understanding Architecture Erosion: The Practitioners' Perceptive". It contains the source code for collecting data from Stack Overflow and our dataset of this study. In the meanwhile, we provide a brief description of the files.</p> <p><strong>1. Count Results & Search Terms.xlsx</strong><br> includes the search results, count results of Table 1, and 28 search terms.</p> <p><strong>2. Dataset from online developer communities.docx</strong><br> comprises of 80 posts and blogs that discuss architecture erosion (178 pages in MS Word organized by their sources), and their URL links that were collected from several popular online developer communities.</p> <p><strong>3. Questionnaire of and dataset from surveys.docx</strong><br> includes an example of the customized emails and 10 formal surveys from the participants.</p> <p><strong>4. Dataset from Interviews.docx</strong><br> comprises of 4 interviewees from the participants.</p> <p><strong>5. Data Labelling & Encoding.mx20</strong><br> is the results of data labelling and encoding that were analyzed by the MAXQDA tool. We extracted data from the posts, labelled them according to RQs, and encoded the extracted data using Constant Comparison. The file can be opened by MAXQDA 20 or higher versions, which are available at https://www.maxqda.com/ for download. You may also use the free 14-day trial version of MAXQDA 2020, which is available at https://www.maxqda.com/trial for download.</p> <p><strong>6. SO_Spider.zip</strong><br> includes the code for data collection and filtering from Stack Overflow.</p>
Understanding Architectural Science and Its Development Since the 1980s: An extensive Literature Review
<p>Provided dataset contains data used in the literature review article.</p>
FIG. 4 in The architecture of Phyllanthus acuminatus Vahl: a prelude to understanding the architectural evolution in the Phyllanthaceae
FIG. 4. — Aspect of the adult plant Phyllanthus acuminatus Vahl.
FIG. 2 in The architecture of Phyllanthus acuminatus Vahl: a prelude to understanding the architectural evolution in the Phyllanthaceae
FIG. 2. — Leaves and inflorescences of Phyllanthus acuminatus Vahl.
Replication Package for the Paper: Understanding Software Architecture Erosion: A Systematic Mapping Study
<p>This is the replication package for the paper: "Understanding Software Architecture Erosion: A Systematic Mapping Study". It contains five files as described below:</p> <p><strong>1. List of the Selected Studies_SMS.xlsx</strong><br> includes the detailed information of the 73 selected studies.</p> <p><strong>2. Data Extraction.xlsx</strong><br> includes the extracted data based on the data items (i.e., D1-D16).</p> <p><strong>3. Sample of Study Selection.xlsx</strong><br> includes the 100 randomly selected papers from the search results and the results of each round selection.</p> <p><strong>4. Pilot Data Extraction.xlsx</strong><br> includes the pilot data extraction results from five papers.</p> <p><strong>5. Sample of Data Extraction.xlsx</strong><br> includes the data extraction results from another randomly selected five papers.</p>
Integrating top-down and bottom-up approaches to understand the genetic architecture of speciation across a monkeyflower hybrid zone
<p><span>Understanding the phenotypic and genetic architecture of reproductive isolation is a longstanding goal of speciation research. In several systems, large-effect loci contributing to barrier phenotypes have been characterized, but such causal connections are rarely known for more complex genetic architectures. In this study, we combine 'top-down' and 'bottom-up' approaches with demographic modeling toward an integrated understanding of speciation across a monkeyflower hybrid zone. Previous work suggests that pollinator visitation acts as a primary barrier to gene flow between two divergent red- and yellow-flowered ecotypes of <em>Mimulus</em> <em>aurantiacus</em>. Several candidate isolating traits and anonymous SNP loci under divergent selection have been identified, but their genomic positions remain unknown. Here, we report findings from demographic analyses that indicate this hybrid zone formed by secondary contact, but that subsequent gene flow was restricted by widespread barrier loci across the genome. Using a novel, geographic cline-based genome scan, we demonstrate that candidate barrier loci are broadly distributed across the genome, rather than mapping to one or a few 'islands of speciation.' Quantitative trait locus (QTL) mapping reveals that most floral traits are polygenic, with little evidence that QTL co-localize, indicating that most traits are genetically independent. Finally, we find little evidence that QTL and candidate barrier loci overlap, suggesting that some loci contribute to other forms of reproductive isolation. Our findings highlight the challenges of understanding the genetic architecture of reproductive isolation and reveal that barriers to gene flow aside from pollinator isolation may play an important role in this system.</span></p>
Integrating top-down and bottom-up approaches to understand the genetic architecture of speciation across a monkeyflower hybrid zone
Open the record for dataset details and reuse information.
On the Understandability of Design-Level Security Practices in Infrastructure-as-Code Scripts and Deployment Architectures
<p>Documents and data for the study "On the Understandability of Security-Related Practices in Infrastructure-as-Code Based Deployments"</p>
ScienceDex guides
Understand access before you commit
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.