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314 results for “systematic map”
Empirical Research on Requirements Quality: A Systematic Mapping Study - Dataset
<p>We conducted a systematic mapping study on the empirical research into the quality of requirements titled "Empirical Research on Requirements Quality: A SystematicMapping Study" in the Requirements Engineering Journal. This is our replication package.</p> <p>Full Abstract:</p> <p>Research has repeatedly shown that high quality requirements are essential for the success of development projects. While the term “quality” is pervasive in the field of requirements engineering and while the body of research on requirements quality is large, there is no meta study of the field that overviews and compares the concrete quality attributes addressed by the community. To fill this knowledge gap, we conducted a systematic mapping study of the scientific literature. We retrieved 6,905 articles from six academic databases, which we filtered down to our 105 relevant primary studies: explicitly defining, improving, or evaluating quality attributes while including an empirical research component. We found that research on requirements quality focuses on improvement techniques, with very few primary studies addressing evidence-based definitions and evaluations of quality attributes. Among the 12 quality attributes identified, the most prominent in the field are ambiguity, completeness, consistency, and correctness. We identified 111 sub-types of quality attributes such as “template conformance” for consistency or “passive voice” for ambiguity. Ambiguity has the largest share of these sub-types. The artefacts being studied are mostly referred to in the broadest sense as “requirements,” while little research targets quality attributes in specific types of requirements such as use cases or user stories. We present and discuss our detailed analysis along the various quality attributes. Our findings highlightthe need to conduct more grounded research aimed at “definitions,” to use more diverse research methods, and to address a more diverse set of requirements types.</p>
Systematic Literature Mapping - Selected Articles Data Extraction
<p>- CSV with the raw data extracted from abstract + full-text review from the selected articles.</p> <p>- CSV with normalized data.</p> <p>- CSV with the normalized data after being a feature engineering step in which some columns have been deleted.</p> <p>- CSV with formal context to extract the concepts lattice.</p>
Fig. 21. Distribution maps. A in A systematic revision of the genus Juga from fresh waters of the Pacific Northwest, USA (Cerithioidea, Semisulcospiridae)
Fig. 21. Distribution maps. A. Juga newberryi (I. Lea, 1860). B. Juga nigrina (I. Lea, 1856). C. Juga occata (Hinds, 1844). Red stars, type localities; black dots, sequenced specimens; gray dots, unsequenced museum material. Abbreviations: CA = California; NV = Nevada; OR = Oregon; WA = Washington.
Fig. 7. Distribution maps. A in A systematic revision of the genus Juga from fresh waters of the Pacific Northwest, USA (Cerithioidea, Semisulcospiridae)
Fig. 7. Distribution maps. A. Juga plicifera (I. Lea, 1838). B. Juga acutifilosa (Stearns, 1890). C. Juga bulbosa (A. Gould, 1847). Red stars, type localities; black dots, sequenced specimens; gray dots, unsequenced museum material. Abbreviations: CA = California; NV = Nevada; OR = Oregon; WA = Washington.
Systematic Mapping Study in Legal NLP (Raw Data)
<p>Systematic Mapping Study in Legal NLP (Raw Data). It contains all papers processed, accepted, information extraction and all the steps taken, and which researchers reviewed what.</p>
Value-based Software Engineering: A Systematic Mapping Study
<p><strong>Abstract</strong><br> <strong>Background: </strong>Integrating value-oriented perspectives into the principles and practices of software engineering is fundamental to ensure that software development activities address key stakeholders’ views and also balance short-and long-term goals. This is put forward in the discipline of value-based software engineering (VBSE)<br> <strong>Aim:</strong> This study aims to provide an overview of VBSE with respect to the research efforts that have been put into VBSE.<br> <strong>Method:</strong> We conducted a systematic mapping study to classify evidence on value definitions, studies’ quality, VBSE principles and practices, research topics, methods, types, contribution facets, and publication venues.<br> <strong>Results:</strong> From 143 studies we found that the term “value” has not been clearly defined in many studies. VB Requirements Engineering and VB Planning and Control were the two principles mostly investigated, whereas VB Risk Management and VB People Management were the least researched. Most studies showed very good reporting and relevance quality, acceptable credibility, but poor in rigor. The main research topic was Software Requirements and case study research was the method used the most. The majority of studies contribute toward methods and processes, while very few studies have proposed metrics and tools.<br> <strong>Conclusion:</strong> We highlighted the research gaps and implications for research and practice to support VBSE.</p>
Dataset for the BDD systematic mapping study
<p>This is the data for the research article titled "Behaviour Driven Development: A Systematic Mapping Study", which has been accepted for publication by The Journal of Systems and Software.</p>
DATASET Skin-Based Vaccination: A Systematic Mapping Review of the Types of Vaccines and Methods Used and Immunity and Protection Elicited in Pigs
<p>Dataset listing all publications used in systematic mapping review. This file contains the dataset, a dictionary and values worksheets for the following publication: </p> <p>Skin-Based Vaccination: A Systematic Mapping Review of the Types of Vaccines and Methods Used and Immunity and Protection Elicited in Pigs.</p> <p>Vaccines 2023</p> <p><a href="https://pubmed.ncbi.nlm.nih.gov/?sort=date&size=200&term=C%C3%B3-Rives+I&cauthor_id=36851328">Inés Có-Rives</a> <a href="https://pubmed.ncbi.nlm.nih.gov/36851328/#full-view-affiliation-1">1</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/?sort=date&size=200&term=Chen+AY&cauthor_id=36851328">Ann Ying-An Chen</a> <a href="https://pubmed.ncbi.nlm.nih.gov/36851328/#full-view-affiliation-1">1</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/?sort=date&size=200&term=Moore+AC&cauthor_id=36851328">Anne C Moore</a> <a href="https://pubmed.ncbi.nlm.nih.gov/36851328/#full-view-affiliation-1">1</a></p> <ul> <li>PMID: 36851328</li> <li>PMCID: <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/pmc9962282/">PMC9962282</a></li> <li>DOI: <a href="https://doi.org/10.3390/vaccines11020450">10.3390/vaccines11020450</a></li> </ul> <p>The advantages of skin-based vaccination include induction of strong immunity, dose-sparing, and ease of administration. Several technologies for skin-based immunisation in humans are being developed to maximise these key advantages. This route is more conventionally used in veterinary medicine. Skin-based vaccination of pigs is of high relevance due to their anatomical, physiological, and immunological similarities to humans, as well as being a source of zoonotic diseases and their livestock value. We conducted a systematic mapping review, focusing on vaccine-induced immunity and safety after the skin immunisation of pigs. Veterinary vaccines, specifically anti-viral vaccines, predominated in the literature. The safe and potent skin administration to pigs of adjuvanted vaccines, particularly emulsions, are frequently documented. Multiple methods of skin immunisation exist; however, there is a lack of consistent terminology and accurate descriptions of the route and device. Antibody responses, compared to other immune correlates, are most frequently reported. There is a lack of research on the underlying mechanisms of action and breadth of responses. Nevertheless, encouraging results, both in safety and immunogenicity, were observed after skin vaccination that were often comparable to or superior the intramuscular route. Further research in this area will underlie the development of enhanced skin vaccine strategies for pigs, other animals and humans.</p> <p><strong>Keywords: </strong>epicutaneous; epidermal; intradermal; needle-free; percutaneous; pig; skin; transcutaneous; transdermal; vaccine.</p>
Paper Repository and References for "Early software defect prediction: A systematic map and review"
<p>Context: Software defect prediction is a trending research topic, and a wide variety of the published papers focus on coding phase or after. A limited number of papers, however, includes the prior (early) phases of the software development lifecycle (SDLC).<br> Objective: The goal of this study is to obtain a general view of the characteristics and usefulness of Early Software Defect Prediction (ESDP) models reported in scientific literature. <br> Method: A systematic mapping and systematic literature review study has been conducted. We searched for the studies reported between 2000 and 2016. We reviewed 52 studies and analyzed the trend and demographics, maturity of state-of-research, in-depth characteristics, success and benefits of ESDP models. <br> Results: We found that categorical models that rely on requirement and design phase metrics, and few continuous models including metrics from requirements phase are very successful. We also found that most studies reported qualitative benefits of using ESDP models.<br> Conclusion: We have highlighted the most preferred prediction methods, metrics, datasets and performance evaluation methods, as well as the addressed SDLC phases. We expect the results will be useful for software teams by guiding them to use early predictors effectively in practice, and for researchers in directing their future efforts.</p>
Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study
<p>All artifacts related to a systematic mapping study on technical debt and antipatterns in AI-based systems; the data consists of an Excel file (00-all-data.xlsx) which includes a tab for all important constructs plus a separate CSV file per construct:</p> <ul> <li>List of primary studies (01-primary-studies.csv)</li> <li>Established types of technical debt (02-established-td-types.csv)</li> <li>New types of technical debt (03-new-td-types.csv)</li> <li>Affected software quality attributes (04-affected-qas.csv)</li> <li>Identified antipatterns (05-antipatterns.csv)</li> <li>Reported solutions to address technical debt or antipatterns (06-solutions.csv)</li> </ul> <p> </p>
Included abstracts from systematic mapping study of age-related falls and ICT
<p>This file contains all the 1017 papers that were included in the systematic mapping study. The file is in RIS format.It can be easily imported into most popular bibliography software such as Zotero, EndNote and Mendeley.</p>
Replication Package: Product-Line Engineering for Smart Manufacturing: A Systematic Mapping Study on Security Concepts
<p><strong>Welcome to the public repository for the additional content of the paper "Product-Line Engineering for Smart Manufacturing: A Systematic Mapping Study on Security Concepts", accepted at the ICSOFT 2024.</strong></p> <p>This repository provides additional information to the conducted mapping study, including the following file:</p> <ul> <li>analysis_sheet_ICSOFT2024.csv: sheet containing information regarding the analysis results of 43 included papers based on the extraction criteria.</li> </ul>
Dataset: Computational resources in the development of e-health IoT applications: A systematic mapping study
<p>Files related to systematic mapping titled Computational resources in the development of e-health IoT applications: A systematic mapping study</p>
Replication Package for the Paper: Transfer Learning with Time Series Data: A Systematic Mapping Study
<p>This is a replication package for the paper "Transfer Learning with Time Series Data: A Systematic Mapping Study".</p> <p>It provides</p> <ul> <li>a documentation of the conducted electronic literature search,</li> <li>exports of the search results from each literature database,</li> <li>and an excel file on the included literature and extracted data.</li> </ul>
GraphQL: A Systematic Mapping Study - Supplemental Material
<p><strong>GraphQL: A Systematic Mapping Study - Supplemental Material</strong></p> <p>As supplementary material, we add online appendices to the study, containing:</p> <table> <tbody> <tr> <td><strong>File</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>01 SMS-Study-Identification.xlsx</td> <td>Study identification process dataset</td> </tr> <tr> <td>02 SMS-GraphQL-Primary-Studies.pdf</td> <td>SMS primary study dataset</td> </tr> <tr> <td>03 SMS-GraphQL-Data-Extraction.xlsx</td> <td>Dataset of the data extraction from the SMS primary studies</td> </tr> </tbody> </table> <p> </p> <p><br> </p>
Replication package: 40 Years of Designing Code Comprehension Experiments: A Systematic Mapping Study
<p>Replication package | 40 Years of Designing Code Comprehension Experiments: A Systematic Mapping Study</p>
Supplementary Material - Uncovering the Effects of Quantum Computing on Software Engineering: A Systematic Mapping
<p>This is the supplementary material regarding: “On the Influence of Quantum Computing on Software Engineering: A Systematic Mapping”, the idea being to make it possible to reproduce the methodology applied in the Systematic Mapping (SM) used in the study. It consists of:</p> <ul> <li>Spreadsheet with the data of the papers selected in each step of the filtering phase of the SM development</li> <li>Fluxogram detailing the Methodology of the SM step-by-step<strong></strong></li> </ul> <h3><strong>Objectives</strong></h3> <p>The main objective of the SM was to provide a detailed analysis on how quantum computing has affected four software engineering topics: Software Testing and Quality; Software Reengineering/Modernization; Software Modeling and Software Processes and Development Platforms</p> <p>Based on the results of such Mapping, four research questions were defined realted to the quantum software engineering topic:</p> <ul> <li> <p>RQ1: <span>How has QC impacted software testing and qual</span><span>ity? This RQ aims to identify proposed methods for </span><span>testing quantum software and topics related to quantum </span><span>metrics and bugs.</span></p> </li> <li> <p>RQ2: How has QC influenced software reengineering and modernization practices? This study seeks to analyze the treatment of reverse engineering and refactorings within this context.</p> </li> <li> <p>RQ3: How is quantum software modeled? This research aims to investigate the impact of QC on modeling languages and the granularity level used.</p> </li> <li> <p>RQ4: How have development processes and platforms been shaped by QC? The goal is to assess the current maturity of processes and platforms for QC.</p> </li> </ul> <h3><strong>Preparation</strong></h3> <p>In this part we outline the resources, digital libraries, the search string and inclusion and exclusion criteria used in this SM on the influence of quantum computing on software engineering.</p> <p>The platform used to manage the articles and define the search string and inclusion and exclusion criteria was Parsifal. In this process articles were sourced from : ACM Digital; IEEE Digital Library; Science Direct and Scopus.</p> <p>A search string was employed in each digital library, adapted to the syntax of each of them, while encompassing the time frame from 01/2018 to 06/2023, with the Base Search String being:</p> <p><strong>(“Software Model” OR “Software Engineering” OR “Software Development” OR “Software Lifecycle” OR “Software Development Methodologies” OR “Software Project Management” OR “Testing” OR “Design Pattern” OR “Reengineering” OR “Reverse Engineering” OR “Metrics” OR “Service-Oriented”) AND (“Quantum Software” OR “Quantum Programming” OR “Quantum Computing” OR “Quantum Software Development” OR “Quantum Subroutine” OR “Quantum Program”)</strong></p> <p>Where the upper part includes terms related to software engineering and the lower part covers the quantum terms.</p> <p>Another important task was to define inclusion and exclusion criteria for filtering the studies, being them:</p> <p><strong>Inclusion Criteria</strong></p> <ul> <li> <p>The study is published in English.</p> </li> <li> <p>The content of the study is related to the topic being analyzed.</p> </li> </ul> <p><strong><strong>Exclusion Criteria</strong></strong></p> <ul> <li> <p>The study is not available</p> </li> <li> <p>The study is duplicated</p> </li> <li> <p>The study is not primary study (surveys, systematic reviews/mappings, talks, proceedings, etc)</p> </li> <li> <p>The content of the study is not related to the theme or it is too superficial.</p> </li> <li> <p>The content of the study was updated in a next more-complete version. When the authors published a new and more complete version of the same content, we remove the previous paper.</p> </li> </ul> <h3><strong>Conduction</strong></h3> <p>During the conduction of the papers filtering process there were four stages to which the set of papers were applied to until reaching the final set:</p> <ul> <li> <p>First stage: Removal of every paper that was duplicated, leaving only one instance of each paper.</p> </li> <li> <p>Second stage: Removal of papers that are not a primary study.</p> </li> <li> <p>Third stage: Removal of papers which keywords, title and abstract are not related to the topics of the Systematic Mapping;</p> </li> <li> <p>Fourth stage: Removal of papers whose content is not related to the topics of the Systematic Mapping.</p> </li> </ul>
Supplementary Material - Systematic Mapping Study - Information and Software Technology
<p>Supplementary material - Article title: "Constructing the graphical structure of expert-based Bayesian networks in the context of software engineering: A systematic mapping study" - Information and Software Technology. This file contains the detailed procedure employed in the systematic mapping.</p>
The Execution Perspective in Software Architecture Descriptions: A Systematic Mapping
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Dataset about Reproducibility in Software Engineering Research: A Systematic Mapping Study
<p>This artifact contains the results collected in one Systematic Mapping Study (SMS), about Reproducibility in Software Engineering Research. The results are associated with the selected studies and with the research questions considered.</p>
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