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1,311 results for “literature”
A Systematic Literature Review of Machine Learning for Uncovering Software Faults and Failures
<p>This data set contains the results of an extensive, systematic literature review on the use of machine learning (ML) for uncovering software faults and failures. Covering the period of 2019 to 2022, this literature review identifies 874 relevant publications, classified into six distinct quality assurance tasks. Results show a compound annual growth rate (CAGR) of relevant publications of 38% over the last five years.</p> <p>This literature review particularly analyzed in how far these relevant papers leverage synergies between different quality assurance tasks. Results show that only 3% of all relevant papers leverage such synergies, indicating ample opportunities for future research. For example, a single type of quality assurance activity may not suffice to deliver the expected software quality. Ideally, one would use a suitable combination of different types of activities – such as combining dynamic testing with static code analysis. Also, leveraging the synergies between different quality assurance activities can increase the effectiveness of the individual activities. For example, having a good estimate of the fault density of a software component (e.g., using deep learning-driven fault prediction techniques) could help optimize and prioritize testing effort and budget.</p>
Literature Datasets for the publication "Systematic Review: Prevalence and Practices of Immunofluorescent Cell Image Processing"
<p>This dataset contains the CSV files returned from PubMed searches used to complete a Systematic Review of Image Processing Publication Practices for methods applied to immunofluorescent images of all CNS cells. <br> <br> The file names are organized "date_supplementarytablenumber" followed by the appropriate search terms. </p>
Dataset from the study "Analysis of the accuracy of scientific literature references provided by ChatGPT"
<p>This dataset corresponds to the study carried out to analyse 10 bibliographic references of 10 Spanish authors in the field of Information Sciences requested to the ChatGPT chatbot.</p> <p>The file "Bibliographic_references_ analysis" contains the 10 references returned by ChatGPT for each of the 10 authors (a total of 100 references), together with the variables analysed to check their authenticity.</p> <p>The "Keywords_analysis" file contains the normalisation carried out on the words considered to be key words extracted from the titles of the works, according to which a word cloud showing the frequency of occurrence could be drawn up.</p>
Systematic map of literature on land use conflicts: Dataset
<p>This dataset compiles the international, peer-reviewed literature on land use conflicts that was published between 2005 and 2020. It lists 306 publications and provides for each of them information regarding the research methods, research aims, covered land use types, covered geographical region, subject area, definition of "land use conflict", and conceptual approach. It can be used to identify publications on specified topics or combinations of topics, such as literature on land use conflicts in Africa regarding the land use type pastoralism. The ROSES for systematic map reports file provides information of how the systematic map was compiled and the list of unobtainable and excluded publications lists those publications that appeared in the initial database search but were not included in the mapping, with reasons for exclusion. More information on the dataset's creation, a detailed analysis, and interpretation are provided in the corresponding journal article:</p> <p>Fienitz, Meike. 2023. "Taking stock of land use conflict research: A systematic map with special focus on conceptual approaches." <em>Society & Natural Resources</em>. http://dx.doi.org/10.1080/08941920.2023.2199380</p>
Project "Public services management system to improve the quality and accessibility of services" (01.2.2-LMT-K-718-03-0019) literature review screening results
<p>The results of the keyword query in Scopus search with the abstracts were screened using <i>abstractr </i>platform at <a href="http://abstrackr.cebm.brown.edu">http://abstrackr.cebm.brown.edu</a>. Four reviewers reviewed intersecting subsets of the overall list of publications in separate reviews, therefore duplicate records in the file are possible. The results from four reviews were combined into one file using functionality of <i>abstractr </i>platform. The reviews were finalized in February, 2022. Majority of the publications from the Scopus query results were automatically assigned low relevance scores thanks to the active learning algorithm used by <i>abstractr</i> and therefore were not reviewed manually.</p><p>Notes on the columns of the dataset:</p><ul><li>(internal) id - internal id added by <i>abstractr.</i></li><li>(source) id - Scopus document id followed by underscore and '1' (if publication has DOI) or 'n' (if publication has no DOI).</li><li>keywords - authors' keywords and Scopus keywords concatenated from the Scopus query results.</li><li>abstract - an abstract of a publication from the Scopus query results.</li><li>title - title of a publication from the Scopus query results.</li><li>journal - journal of a publication from the Scopus query results.</li><li>authors - authors of a publlication from the Scopus query results.</li><li>consensus - for publications reviewed by multiple reviewers the consensus decision is signified by '1', no consensus - by 'x' and unable to asses consensus by 'o'. These codes are generated by <i>abstrackr.</i></li><li>eg - the first reviewer id. Code '1' means the publication was selected based on title and abstract, '0' - unsure, '-1' rejected.</li><li>dj - the second reviewer id. Code '1' means the publication was selected based on title and abstract, '0' - unsure, '-1' rejected.</li><li>rp - the third reviewer id. Code '1' means the publication was selected based on title and abstract, '0' - unsure, '-1' rejected.</li><li>mp - the fourth reviewer id. Code '1' means the publication was selected based on title and abstract, '0' - unsure, '-1' rejected.</li><li>count (+1) - integer, the number of reviewers selecting the publication for fulltext reading. Calculated from 'eg ','dj ','rp' and 'mp' columns.</li><li>count (0) - integer, the number of reviewers not sure of selecting the publication for fulltext reading. Calculated from 'eg ','dj ','rp' and 'mp' columns.</li><li>count (-1) - integer, the number of reviewers not selecting the publication for fulltext reading. Calculated from 'eg ','dj ','rp' and 'mp' columns.</li><li>at leat once selected - binary integer, representing the final decision rule to select publications for fulltext reading and further analysis.</li></ul><p>The data were collected as a part of the project "Public services management system to improve the quality and accessibility of services" ("Viešųjų paslaugų vadybos sistema paslaugų kokybei ir prieinamumui gerinti"), grant no. 01.2.2-LMT-K-718-03-0019, funded by the Lithuanian research council.</p>
Dataset: A Systematic Literature Review on the topic of High-value datasets
<p>This dataset contains data collected during a study ("T<a href="http://https://arxiv.org/abs/2305.10234">owards High-Value Datasets determination for data-driven development: a systematic literature review</a>") conducted by Anastasija Nikiforova (University of Tartu), Nina Rizun, Magdalena Ciesielska (Gdańsk University of Technology), Charalampos Alexopoulos (University of the Aegean)<sup> </sup>and Andrea Miletič (University of Zagreb)<br> It being made public both to act as supplementary data for "Towards High-Value Datasets determination for data-driven development: a systematic literature review" paper (pre-print is available in Open Access here -><a href="http://https://arxiv.org/abs/2305.10234"> https://arxiv.org/abs/2305.10234</a>) and in order for other researchers to use these data in their own work.</p> <p><br> The protocol is intended for the Systematic Literature review on the topic of High-value Datasets with the aim to gather information on how the topic of High-value datasets (HVD) and their determination has been reflected in the literature over the years and what has been found by these studies to date, incl. the indicators used in them, involved stakeholders, data-related aspects, and frameworks. The data in this dataset were collected in the result of the SLR over Scopus, Web of Science, and Digital Government Research library (DGRL) in 2023.</p> <p> </p> <p>***Methodology***</p> <p>To understand how HVD determination has been reflected in the literature over the years and what has been found by these studies to date, all relevant literature covering this topic has been studied. To this end, the SLR was carried out to by searching digital libraries covered by Scopus, Web of Science (WoS), Digital Government Research library (DGRL).</p> <p>These databases were queried for keywords <em>("open data" OR "open government data") AND ("high-value data*" OR "high value data*"</em>), which were applied to the article title, keywords, and abstract to limit the number of papers to those, where these objects were primary research objects rather than mentioned in the body, e.g., as a future work. After deduplication, 11 articles were found unique and were further checked for relevance. As a result, a total of 9 articles were further examined. Each study was independently examined by at least two authors.</p> <p>To attain the objective of our study, we developed the protocol, where the information on each selected study was collected in four categories: (1) descriptive information, (2) approach- and research design- related information, (3) quality-related information, (4) HVD determination-related information.</p> <p> </p> <p>***Test procedure***<br> Each study was independently examined by at least two authors, where after the in-depth examination of the full-text of the article, the structured protocol has been filled for each study.<br> The structure of the survey is available in the supplementary file available (see Protocol_HVD_SLR.odt, Protocol_HVD_SLR.docx)<br> The data collected for each study by two researchers were then synthesized in one final version by the third researcher.</p> <p>***Description of the data in this data set***</p> <p>Protocol_HVD_SLR provides the structure of the protocol<br> Spreadsheets #1 provides the filled protocol for relevant studies.<br> Spreadsheet#2 provides the list of results after the search over three indexing databases, i.e. before filtering out irrelevant studies</p> <p>The information on each selected study was collected in four categories:<br> (1) descriptive information,<br> (2) approach- and research design- related information,<br> (3) quality-related information,<br> (4) HVD determination-related information</p> <p>Descriptive information <br> 1) Article number - a study number, corresponding to the study number assigned in an Excel worksheet<br> 2) Complete reference - the complete source information to refer to the study<br> 3) Year of publication - the year in which the study was published<br> 4) Journal article / conference paper / book chapter - the type of the paper -{journal article, conference paper, book chapter}<br> 5) DOI / Website- a link to the website where the study can be found<br> 6) Number of citations - the number of citations of the article in Google Scholar, Scopus, Web of Science<br> 7) Availability in OA - availability of an article in the Open Access<br> 8) Keywords - keywords of the paper as indicated by the authors<br> 9) Relevance for this study - what is the relevance level of the article for this study? {high / medium / low}</p> <p>Approach- and research design-related information<br> 10) Objective / RQ - the research objective / aim, established research questions<br> 11) Research method (including unit of analysis) - the methods used to collect data, including the unit of analy-sis (country, organisation, specific unit that has been ana-lysed, e.g., the number of use-cases, scope of the SLR etc.)<br> 12) Contributions - the contributions of the study<br> 13) Method - whether the study uses a qualitative, quantitative, or mixed methods approach?<br> 14) Availability of the underlying research data- whether there is a reference to the publicly available underly-ing research data e.g., transcriptions of interviews, collected data, or explanation why these data are not shared?<br> 15) Period under investigation - period (or moment) in which the study was conducted<br> 16) Use of theory / theoretical concepts / approaches - does the study mention any theory / theoretical concepts / approaches? If any theory is mentioned, how is theory used in the study?</p> <p>Quality- and relevance- related information <br> 17) Quality concerns - whether there are any quality concerns (e.g., limited infor-mation about the research methods used)?<br> 18) Primary research object - is the HVD a primary research object in the study? (primary - the paper is focused around the HVD determination, sec-ondary - mentioned but not studied (e.g., as part of discus-sion, future work etc.))</p> <p>HVD determination-related information <br> 19) HVD definition and type of value - how is the HVD defined in the article and / or any other equivalent term?<br> 20) HVD indicators - what are the indicators to identify HVD? How were they identified? (components & relationships, “input -> output")<br> 21) A framework for HVD determination - is there a framework presented for HVD identification? What components does it consist of and what are the rela-tionships between these components? (detailed description)<br> 22) Stakeholders and their roles - what stakeholders or actors does HVD determination in-volve? What are their roles?<br> 23) Data - what data do HVD cover?<br> 24) Level (if relevant) - what is the level of the HVD determination covered in the article? (e.g., city, regional, national, international)</p> <p><br> ***Format of the file***<br> .xls, .csv (for the first spreadsheet only), .odt, .docx</p> <p>***Licenses or restrictions***<br> CC-BY</p> <p> </p> <p>For more info, see README.txt</p>
Shear modulus reduction and damping ratio curves collected from multiple literature sources available in Italy
<p><em>Data</em> are 485 G/G<sub>0 </sub>(γ) and damping ratio, D(γ) curves collected from multiple literature sources available in Italy. Each curve was associated with the related engineering geological units considered in seismic microzonation studies. The data focus on providing reference information that can serve as key data for large-scale hazard assessments worldwide and to guide the translation of information from the laboratory scale to the scale of geological-engineering cross-sections.</p>
InTheMED WP2 Data Archive - Groundwater Quality Literature Review
<p>The data archive InTheMED_WP2_DS_GWQualityLitReview is part of Task 2.2 “Review and collect the available groundwater quantity and quality data sets in the MED region” and contains a literature review of groundwater quality data collected from various sites in Mediterranean countries. The data includes measurements of different water quality parameters, providing valuable insights into the characteristics of groundwater in different regions. The dataset was compiled from a literature review of published research articles.</p>
Mapping literature reviews on coral health: A review map, critical appraisal, and bibliometric analysis - Data and Code
<p>Data, code, and supplementary materials for "Mapping literature reviews on coral health: A review map, critical appraisal, and bibliometric analysis" by Burke et al., published in Ecological Solutions and Evidence.</p>
Cognition in Social Engineering Empirical Research: a Systematic Literature Review
<p># Description of contents</p> <p>This repository contains the codebook, dataset and analysis scripts in R used for the following publication: Pavlo Burda, Luca Allodi, Nicola Zannone. "Cognition in Social Engineering Empirical Research: a Systematic Literature Review". ACM Transactions on Computer-Human Interaction (TOCHI).<br> The repository consists of the following files:</p> <p>## dataset_and_codebook.xlsx contains the dataset, the codebook and a detailed description of contents.</p> <p>## scripts/ contains the R scripts used for the analysis</p> <p>## readme.txt contains this readme</p> <p><br> # Dataset and codebook</p> <p>The dataset_and_codebook.xlsx contains the following sheets:</p> <p>## Codebook<br> Contains a detailed description of the dataset (tables, columns, fields, etc.).<br> The codebook describes the concepts and variables that are present in the dataset. This includes explanations on meaning, numerical values, classification schemes and labels.</p> <p>## Hypotheses table <br> Contains the hypotheses for all analyzed papers and is used in the results of the paper. <br> Each row is a hypothesis of an included paper, cells contain one or more values (e.g., value1,value2,...) with or without sub values (e.g., value1,value2(sub-value1, ...)). Any content that is in square brackets [] is ignored in the analysis. Empty cells mean that there is no applicable value for that column.</p> <p>## Papers table<br> Contains the analyzed papers and is used in the results of the paper. It is also used in the overview table (Table 6) in Appendix C.<br> Each row is an included paper, cells contain up to two values (e.g., value1, value2) or the word 'multiple' in case of more than two values. Empty cells mean that there is no applicable value for that column.</p> <p>## Values table <br> Contains the description of cell values of 'Hypotheses' and 'Papers' and sub-values (specific variables in a study) that belong to a value. <br> It has a hierarchical structure from left to right where each field on the right column falls under the first non-empty field on the immediate left-top.</p> <p><br> # Reproducing results with scripts/ (generate figures)<br> To run the R scripts included in the 'scripts' directory it is sufficient to follow the instructions in and run the 'RUN_ALL_SCRIPTS.R' in 'scripts' directory.<br> The scripts use the TSV (Tab Separated Values) format of the dataset, which is the exact copy of the 'Papers' and 'Hypotheses' tables in the 'dataset_and_codebook.xlsx' file.<br> The resulting figures are stored in the 'scripts/results' directory.</p>
Machine Learning Applications in Marketing: Literature Review and Research Agenda
<p>Currently, machine learning applications in marketing allow to optimize strategies, personalize experiences and improve decision making. However, there are still several research gaps, so the objective is to examine the research trends in the use of machine learning in marketing. A bibliometric analysis is proposed to assess the current scientific activity, following the parameters established by PRISMA-2020. Machine learning applications in marketing have experienced steady growth and increased attention in the academic community. Key references, such as Miklosik and Evans, and prominent journals, such as IEEE Access and Journal of Business Research, have been identified. A thematic evolution towards big data and digital marketing is observed, and thematic clusters such as "digital marketing", "interpretation", "prediction", and "healthcare" stand out. These findings demonstrate the continued importance and research potential of this evolving field.</p>
Pond data: physical, chemical, and biological characteristics with scientific and United States of America state definitions from literature and legislative surveys
Ponds are often identified by their small size and shallow depths, but the lack of a universal definition hampers science and weakens legal protection. In order to determine a working definition of ‘pond’, we conducted a literature search for scientific definitions, a U.S. state survey for management definitions, and looked at pond ecosystem function using data from the literature search. Our dataset includes physical, chemical, and biological data for 1327 waterbodies ≤ 20 ha in surface area and ≤ 9 m in maximum or mean depth from our literature review. These data have a global distribution, we include a table of latitudes and longitudes, and span many years (1946-2019). We have also included a table of 54 pond definitions from the literature review and a table of U.S. state definitions of ponds, wetlands, and lakes resulting from our survey.
Nutrient and stoichiometric time series measurements of decomposing coarse detritus in freshwaters worldwide from literature published between 1976-2020.
This data publication is a database of published estimates of nitrogen, phosphorus, and carbon content of decomposing coarse detritus though time in freshwater ecosystems worldwide. Nutrient content measurements are paired with estimates of detrital mass loss within decomposition time series (i.e., defined cohorts of decomposing material through time) with the goal of understanding patterns and drivers of temporal elemental dynamics of freshwater detritus. A systematic literature search for aquatic decomposition experiments conducted on 29 April 2020 generated 580 records (after trimming for duplicates and obvious relevance). From this literature pool, we extracted 810 decomposition time series and associated environmental data (e.g., temperature, water quality, detrital characteristics). Time series included in this synthesis include a range of detritus types (including terrestrial and aquatic plant material, carcasses, dung, and veneers), ecosystems (including streams, lakes, rivers, and wetlands), and settings (including natural ecosystems, field mesocosms, and laboratory microcosms).
Greek toponyms collected from classical literature
<p>The toponyms in this dataset are derrived from Montanari, Franco. <em>The Brill Dictionary of Ancient Greek</em>. Boston, MA: Brill, 2015 and Kiesling, John Brady, and Aikaterini Laskaridis Founation. “ToposText.” Gazetteer. <em>ToposText Web Version 3.0</em>, 2019. <a href="https://topostext.org/">https://topostext.org/</a>.</p>
Bibliography of the Systematic Literature Review of the IPBES Global Assessment, Chapter 4
<p>Bibliographies from the systematic literature review in Chapter 4 of the IPBES Global Assessment</p> <p>DOI: 10.5281/zenodo.3553579</p>
Sistematic Mapping review of literature about public policies innovation and reading competences
<p>The systematic mapping method makes possible to identify what is known about a topic, what has been researched, what aspects remain unknown, and to obtain information about current trends and future challenges regarding this topic. In this Excel , the following articles were included: studies on innovative public policies related to reading skills, those published only in journals that can be found in two databases: Web of Science (WOS) and Scopus, published from January 2015 to December 2019, and related to the educational sector (social sciences, psychology, multidisciplinary, educational research, medical education, environmental education).</p>
A Study on Organizational IT Security in Mobile Software Ecosystems Literature
<p>Information security is a key topic for most organizations. With the digital revolution, smartphones have become popular not only for personal use but also within organizations where many employees use them for business purposes. As smartphones are increasingly present in organizations, it is necessary to understand what recommendations the literature provides for the safe use of such devices, helping organizations to protect themselves from threats. ISO 27000 is a well-known standard for information security in a business context. It provides a set of controls that must be observed to ensure more secure organizational information. Therefore, the goal of this study is to identify which controls presented in ISO 27000, more specifically ISO 27001, are present in the Mobile Software Ecosystem (MSECO) literature. To do so, we conducted a systematic mapping review supplemented by a snowballing process to identify studies in the field of MSECO that have addressed any subject that is present in ISO 27001. We found that 34 out of the 114 ISO 27001 controls are covered by the MSECO literature. Also, some of the ISO sections (e.g., Asset Management) have not yet been explored in the MSECO literature. Our results can inspire future and further studies on the topic of MSECO information security.</p>
Ethical Perspectives in AI: A Two-folded Exploratory Study From Literature and Active Development Projects - Supplementary Material
<p>This is the Supplementary Material provided for the work accepted on HICSS 2021.</p> <p>Title of work: Ethical Perspectives in AI: A Two-folded Exploratory Study From Literature and Active Development Projects.</p> <p> </p> <p> </p> <p>This dataset depicts 589 GitHub README files explored in our article. We devised each repository into 4 categories. AI Applications (78), reference lists (486), Explainable AI tool (6), Ethical AI tool (15). Moreoveer, 4 repositories could not be found, and 181 of them had a Programming Language. In addition, we classified them according to our judgement of Interesting (82) or Great (33), regarding the objectives of our work. 75 repositories were not related to AI Ethics, and 7 of them mentioned COVID-19 in their repositories in some manner. Highlighted repositories in red pertain to categories 3 and 4, that is, tools for implementing AI Ethics, while those in yellow are marked as “Great”.</p> <p>Explainable AI tool and Ethical AI tool were added to 21 occurrences of tools for implementing AI ethics publicly available in repositories. Furthermore, it is seen that many papers open-sourced their codes on GitHub (as in https://github.com/lopusz/awesome-interpretable-machine-learning), meaning that the academic field has also made good progress in implementing ethics in AI, hence, the combined energy of both sources fosters an enhanced debate and stimulates progress towards AI ethics in practice.</p>
Perspectives on literature
<p>During the fourth Project Presentation Session on <strong>Thursday 01.08.2019</strong> 14:15 - 15:45 the following 3 projects were presented:</p> <ul> <li><strong>Jeremi Kazimierz Ochab</strong> (Institute of Physics and Mark Kac Complex Systems Research Center, Jagiellonian University Kraków, Poland) & Holger Essler (Institut für Klassische Philologie I, Universität Würzburg, German): "Stylometry of Literary Papyri"</li> <li><strong>Manuel Burghardt</strong> (University of Leipzig, Germany): "'Shall I Compare Thee to a Million Books?' – Challenges for the Computational Detection of Shakespearean Intertextuality"</li> <li><strong>Giovanni Pietro Vitali</strong> (University College Cork, Ireland): "<em>Prismatic Jane Eyre</em>"</li> </ul>
Multivocal Literature and Systems Survey Dataset
<p>Dataset of resources found and filtered for the multivocational literature and systems survey. Attached to it is the Jupyter notebook used for analysing resources.</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.