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ShareScore release 0.7.1
Dataset results
552 results for “literature review”
How are software repositories mined? A systematic literature review of workflows, methodologies, reproducibility, and tools
<p>This is the excel spreadsheet dataset containing our analysis of papers performing mining software repositories research from the conferences ICSE, ESEC/FSE, and MSR from the years 2018 - 2020. The data is broken into columns and can be explained at a high-level as follows:</p> <p>Column Content</p> <p>1 The paper being analyzed</p> <p>2 Does the paper state the data they analyzed is available</p> <p>3 Does the paper perform some sort of data analysis or sampling using data others have compiled in the past</p> <p>4 Does the paper state a timestamp for when they begin their work</p> <p>5 Does the paper state the use of systems pre-built to help with MSR work</p> <p>6 - 18 Forms of sampling researchers may have employed to select their data</p> <p>19 What datasets (if any) were used in the analysis</p> <p>20 What tools (if any) were used in the analysis</p> <p>21 How they performed their data sampling workflow</p> <p>22 How they performed their data filtering workflow</p> <p>23 How they performed their data retrieval workflow</p> <p>24 Did they create any scripts in each of these workflows</p> <p>25 - 33 Did they publish a replication package and what is contained within</p> <p>34 Is the paper describing a tool for research or not</p> <p>35 Short description of the paper read</p> <p>36 A high-level category of the work performed in each paper</p>
Towards Sustainability of Systematic Literature Reviews
<p>Background: The software engineering community has increasingly conducted systematic literature reviews (SLR) as a means to summarize evidence from different studies and bring to light the state of the art of a given research topic. While SLR provide many benefits, they also present several problems with punctual solutions for some of them. However, two main problems still remain: the high time-/effort-consumption nature of SLR and the lack of an effective impact of SLR results in the industry, as initially expected for SLR. Aims: The main goal of this paper is to introduce a new view - which we name <strong>Sustainability of SLR</strong> - on how to deal with SLR aiming at reducing those problems. Method: We analyzed six reference studies published in the last decade to identify, group, and analyze the SLR problems and their interconnections. Based on such analysis, we proposed the view of Sustainability of SLR that intends to address these problems. Results: The proposed view encompasses three dimensions (social, economic, and technical) that could become SLR more sustainable in the sense that the four major problems and 31 barriers (i.e., possible causes for those problems) that we identified could be mitigated. Conclusions: The view of Sustainability of SLR intends to change the researchers' mindset to mitigate the inherent SLR problems and, as a consequence, achieve sustainable SLR, i.e., those that consume less time/effort to be conducted and updated with useful results for the industry.</p> <p>_________________________________________________________________________________________________</p> <p>Summary of files:</p> <p>RAW_DATA.xlsx → contains the raw texts indicating the barriers presented in the paper </p> <p>Studies_selected.bib → contains references for the published studies selected and used for data extraction.</p>
Data Set Literature Review Digital Forensic and Forensic Sciences
<p>Data ini digunakan untuk membuat penelitian sesuai dengan tinjauan literatur dengan kata kunci "<em>Digital Forensic</em>" dan "<em>Forensic Sciences</em>"</p>
Dataset Literature Review Digital Forensic and Forensic Anthropology Population Data
<p>Data ini dipergunakan untuk membuat penelitian sesuai dengan Tinjauan Literatur dengan kata kunci "<em>Digital Forensik</em> dan <em>Forensic Anthropology Population Data"</em></p>
Dataset Literatur Review on Cyber Law Privacy
<p>berikut merupakan Dataset Literatur Review on Cyber Law Privacy</p>
Dataset Literatur Review on Cyberlaw OR Cyber Law AND Identification
<p>Berikut merupakan Dataset Literatur Review on Cyberlaw OR Cyber Law AND Identification</p>
Dataset Literatur Review on Cyber Law Focus Groups
<p>berikut merupakan Dataset Literatur Rivew on Cyber Law Focus Groups</p>
DataSet Literature review on cyberlaw and fingerprints
<p>Merupakan sebuah keamanan cyberlaw dan fingerprint</p>
Dataset Literature review on cyberlaw and multimedia
<p> Merupakan data artikel cyberlaw dengan multimedia</p>
Dataset literature review on cyberlaw and cryptocurrency
<p>Merupakan data dari literature review tentang hukum cyber dan cryptocurrency</p>
Dataset literature review on cyberlaw and traffic
<p>Merupakan data dari litereature review tentang hukum cyber dan traffic </p>
Dataset Literature Review on Cyberlaw and Traditional crime
<p>Merupakan data dari literature review tentang hukum cyber dan traditional crime </p>
Dataset Literature Review on Online Business and commitment
<p>Dataset Literature Review on Online Business and commitment</p>
Dataset: Literature review on cyberlaw and cell phone
<p>Merupakan Dataset dari Literature review tentang hukum cyber dan cell phone</p>
Dataset: Literature review on Cyberlaw money laundering
<p>Merupakan Dataset dari Literature review dari hukum cyber dan money laundering</p>
Dataset Literature Review Cyberlaw Security-trends
<p>merupakan dataset dan literature review tentang hukum cyber dan cyber-security trends </p>
Literature review on cyberlaw and Deep learning
<p>Merupakan dataset dari literature review dari hukum cyber dan deep learning</p>
Dataset Literature Review on cyberlaw and cyberattacks
<p>Merupakan dataset dari literature review tentang hukum cyber and cyberattacks</p>
Dataset Literature Review Digital Forensic AND Forensic Sciences
<p>Data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci "Digital Forensic" dan "Forensic Sciences"</p>
Dataset Literature Review Digital Forensic AND Forensic Anthropology Population Data
<p>Data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci "digital forensic" dan "forensic anthropology population data"</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)
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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.