scholarly journals Selection of Crowd in Crowdsourcing for Smart Intelligent Applications: A Systematic Mapping Study

2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Rui Shang ◽  
YongMei Ma ◽  
Farhad Ali ◽  
ChuanShuang Hu ◽  
Shah Nazir ◽  
...  
Keyword(s):  
Search Strategy ◽  
Digital Data ◽  
Systematic Mapping Study ◽  
Journal Articles ◽  
Systematic Mapping ◽  
Data Repositories ◽  
Efficiency And Effectiveness ◽  
Human Crowd ◽  
Conference Papers ◽  
Selection Of

Crowdsourcing is a task-solving model in which human crowd is hired to solve a particular task. During the crowdsourcing process, the crowd selection is performed in order to select appropriate crowd workers for a specific task; without appropriate selection of crowd workers, the process of crowdsourcing is aimless. The main goal of this paper was to identify the features of crowd in crowdsourcing activity, reasons behind crowd participation in the activity of crowdsourcing, and the existing techniques that were utilized for crowd selection in crowdsourcing. Search strings with corresponding keywords were used to capture relevant studies related to crowdsourcing, and crowd selection was classified under conference papers, journal articles, proceedings, and book chapters. 81 relevant studies are selected from 7 digital data repositories using a search strategy. In crowdsourcing practices, crowd selection was considerably addressed. Nonetheless, it has been noticed that the selection is based only on a single crowd worker attribute such as confidence, past success, efficiency, and experience. For the efficiency and effectiveness of the crowdsourcing operation, crowd selection on multicriteria features is essential.

The Challenge of Evaluating Virtual Communities of Practice: A Systematic Mapping Study

10.28945/4505 ◽  
2020 ◽  
Vol 15 ◽  
pp. 039-064
Author(s):  
Rogerio Ferreira da Silva ◽  
Itana Maria de Souza Gimenes ◽  
José Carlos Maldonado
Keyword(s):  
Communities Of Practice ◽  
Virtual Communities ◽  
Evaluation Process ◽  
Evaluation Methods ◽  
Systematic Mapping Study ◽  
Research Gaps ◽  
Systematic Mapping ◽  
Research Questions ◽  
Virtual Communities Of Practice ◽  
Selection Of

Aim/Purpose: This paper presents a study of Virtual Communities of Practice (VCoP) evaluation methods that aims to identify their current status and impact on knowledge sharing. The purposes of the study are as follows: (i) to identify trends and research gaps in VCoP evaluation methods; and, (ii) to assist researchers to position new research activities in this domain. Background: VCoP have become a popular knowledge sharing mechanism for both individuals and organizations. Their evaluation process is complex; however, it is recognized as an essential means to provide evidences of community effectiveness. Moreover, VCoP have introduced additional features to face to face Communities of Practice (CoP) that need to be taken into account in evaluation processes, such as geographical dispersion. The fact that VCoP rely on Information and Communication Technologies (ICT) to execute their practices as well as storing artifacts virtually makes more consistent data analysis possible; thus, the evaluation process can apply automatic data gathering and analysis. Methodology: A systematic mapping study, based on five research questions, was carried out in order to analyze existing studies about VCoP evaluation methods and frameworks. The mapping included searching five research databases resulting in the selection of 1,417 papers over which a formal analysis process was applied. This process led to the preliminary selection of 39 primary studies for complete reading. After reading them, we select 28 relevant primary studies from which data was extracted and synthesized to answer the proposed research questions. Contribution: The authors of the primary studies analyzed along this systematic mapping propose a set of methods and strategies for evaluating VCoP, such as frameworks, processes and maturity models. Our main contribution is the identification of some research gaps present in the body of studies, in order to stimulate projects that can improve VCoP evaluation methods and support its important role in social learning. Findings: The systematic mapping led to the conclusion that most of the approaches for VCoP evaluation do not consider the combination of data structured and unstructured metrics. In addition, there is a lack of guidelines to support community operators’ actions based on evaluation metrics.

scholarly journals Machine Learning Applied to Neuroreabilitation: A Systematic Mapping

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Flávia Gonçalves Fernandes ◽  
Eder Manoel De Santana
Keyword(s):  
Machine Learning ◽  
Recommendation Systems ◽  
Well Being ◽  
Public Access ◽  
Journal Articles ◽  
Systematic Mapping ◽  
Logical Operators ◽  
Health Area ◽  
New Research ◽  
Selection Of

Machine learning and recommendation systems are tools used to improve the search indices of the most relevant items in large amounts of data that can be applied in the health area. To present a systematic mapping in the area of neurorehabilitation that uses machine learning. Analyze the references of the work carried out involving the theme on the application of machine learning in the area of neurorehabilitation. Search for studies enrolled in databases through logical operators for the selection of peer-reviewed journal articles. In addition, it was verified that the application of the systematic mapping in the elaboration of the bibliographic review allows to identify the main gaps for the development of new research, and to direct to the main publications related to the study. Therefore, it is necessary to promote this area of research to offer this public access to the techniques of neuro-rehabilitation as a form of treatment, acquisition of knowledge, motivation or even inclusion. In this way, it will be possible to obtain a greater maturity in the obtained results and, thus, to promote a systematization in the use of neuro-rehabilitation in the promotion of the well-being of these people.  

scholarly journals STATE OF THE ART CROWFUNDING DALAM KONTEKS KEUANGAN ENTREPRENEURIAL (Studi Pemetaan Sistematis dan Analisis Co-Authorship Pada Basis Data Scopus)

AdBispreneur ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 89
Author(s):  
Margo Purnomo ◽  
Yogi Sugiarto Maulana ◽  
Sugiartana ◽  
Endro Tjahjono
Keyword(s):  
State Of The Art ◽  
Bibliometric Study ◽  
Systematic Mapping Study ◽  
Entrepreneurial Finance ◽  
Journal Articles ◽  
Inclusion Criteria ◽  
Mapping Study ◽  
Systematic Mapping ◽  
Scopus Database ◽  
Bibliometric Studies

This article aims to examine the state-of-the-art or the latest developments and achievements in the field of crowdfunding in the context of entrepreneurial finance (CF-EF). For this reason, systematic mapping studies (SMS) and bibliometric studies in the Scopus database are used. The SMS output shows that 69 documents met the inclusion criteria, the start of publication recorded in 2013 and the dominant author from Europe in the Q1 journal. Articles focusing on equity-based crowdfunding (CF) studies as well as articles in the category evaluation paper dominate the document. Furthermore, the bibliometric study output with co-authorship analysis on VOSviewer application shows that the cohesiveness of the authors in publishing CF-EF was reached starting in 2018 and 8 groups of authors' collaboration were identified. Author's collaboration until early 2020 generally exploits equity-based CFs. While donation-based CF, credit-based CF and dedicated-based CF need further exploration. Although relying on one database, this study has revealed a CF-EF map that can be an initial reference for further research to advance CF-EF. Artikel ini bertujuan mengkaji state-of-the-art atau perkembangan dan pencapaian terkini di bidang crowdfunding dalam konteks entrepreneurial finance (CF-EF). Untuk itu, systematic mapping study (SMS) dan bibliometric study pada basis data Scopus digunakan. Output SMS menunjukkan bahwa 69 dokumen memenuhi kriteria inklusi, awal publikasi terdata pada tahun 2013 dan penulis dominan dari Eropa pada jurnal Q1. Artikel dengan fokus kajian equity-based crowdfunding (CF) serta artikel berkategori evaluation paper mendominasi dokumen. Selanjutnya, output bibliometric study dengan analisis co-authorship pada aplikasi VOSviewer menunjukkan bahwa kohesivitas penulis dalam memublikasikan CF-EF tercapai mulai tahun 2018 dan teridentifikasi 8 kelompok kolaborasi penulis. Kolaborasi penulis sampai awal 2020 umumnya mengeksploitasi tentang equity-based CF. Sementara donation-based CF, credit-based CF dan dedicated-based CF perlu eksplorasi lebih lanjut. Walaupun mengandalkan satu basis data, penelitian ini telah mengungkap peta CF-EF yang dapat menjadi rujukan awal penelitian selanjutnya untuk memajukan CF-EF. 

Failure Analysis Enhancement by Incorporating a Compact Scan Diagnosis System

2014 ◽  
Author(s):  
Rommel Estores ◽  
Pascal Vercruysse ◽  
Karl Villareal ◽  
Eric Barbian ◽  
Ralph Sanchez ◽  
...  
Keyword(s):  
Data Analysis ◽  
Failure Analysis ◽  
Real Analysis ◽  
Failure Data ◽  
Analysis Methodology ◽  
Efficiency And Effectiveness ◽  
Scan Chain ◽  
On Chip ◽  
Analysis Environment ◽  
Selection Of

Abstract The failure analysis community working on highly integrated mixed signal circuitry is entering an era where simultaneously System-On-Chip technologies, denser metallization schemes, on-chip dissipation techniques and intelligent packages are being introduced. These innovations bring a great deal of defect accessibility challenges to the failure analyst. To contend in this era while aiming for higher efficiency and effectiveness, the failure analysis environment must undergo a disruptive evolution. The success or failure of an analysis will be determined by the careful selection of tools, data and techniques in the applied analysis flow. A comprehensive approach is required where hardware, software, data analysis, traditional FA techniques and expertise are complementary combined [1]. This document demonstrates this through the incorporation of advanced scan diagnosis methods in the overall analysis flow for digital functionality failures and supporting the enhanced failure analysis methodology. For the testing and diagnosis of the presented cases, compact but powerful scan test FA Lab hardware with its diagnosis software was used [2]. It can therefore easily be combined with the traditional FA techniques to provide stimulus for dynamic fault localizations [3]. The system combines scan chain information, failure data and layout information into one viewing environment which provides real analysis power for the failure analyst. Comprehensive data analysis is performed to identify failing cells/nets, provide a better overview of the failure and the interactions to isolate the fault further to a smaller area, or to analyze subtle behavior patterns to find and rationalize possible faults that are otherwise not detected. Three sample cases will be discussed in this document to demonstrate specific strengths and advantages of this enhanced FA methodology.

scholarly journals Test Smell Detection Tools: A Systematic Mapping Study

2021 ◽  
Author(s):  
Wajdi Aljedaani ◽  
Anthony Peruma ◽  
Ahmed Aljohani ◽  
Mazen Alotaibi ◽  
Mohamed Wiem Mkaouer ◽  
...  
Keyword(s):  
Systematic Mapping Study ◽  
Mapping Study ◽  
Systematic Mapping

scholarly journals Global and Latin American female participation in evidence-based software engineering: a systematic mapping study

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Katia Romero Felizardo ◽  
Amanda Möhring Ramos ◽  
Claudia de O. Melo ◽  
Érica Ferreira de Souza ◽  
Nandamudi L. Vijaykumar ◽  
...  
Keyword(s):  
Software Engineering ◽  
Latin American ◽  
Gender Issue ◽  
Research Area ◽  
Systematic Mapping Study ◽  
Evidence Based ◽  
Mapping Study ◽  
Systematic Mapping ◽  
Participation Of Women ◽  
New Generation

Abstract Context While the digital economy requires a new generation of technology for scientists and practitioners, the software engineering (SE) field faces a gender crisis. SE research is a global enterprise that requires the participation of both genders for the advancement of science and evidence-based practice. However, women across the world tend to be significantly underrepresented in such research, receiving less funding and less participation, frequently, than men as authors in research publications. Data about this phenomenon is still sparse and incomplete; particularly in evidence-based software engineering (EBSE), there are no studies that analyze the participation of women in this research area. Objective The objective of this work is to present the results of a systematic mapping study (SM) conducted to collect and evaluate evidence on female researchers who have contributed to the area of EBSE. Method Our SM was performed by manually searching studies in the major conferences and journals of EBSE. We identified 981 studies and 183 were authored/co-authored by women and, therefore, included. Results Contributions from women in secondary studies have globally increased over the years, but it is still concentrated in European countries. Additionally, collaboration among research groups is still fragile, based on a few women as a bridge. Latin American researchers contribute a great deal to the field, despite they do not collaborate as much within their region. Conclusions The findings from this study are expected to be aggregated to the existing knowledge with respect to women’s contribution to the EBSE area. We expect that our results bring up a reflection on the gender issue and motivate actions and policies to attract female researchers to this area.

IoT-based botnet attacks systematic mapping study of literature

2021 ◽  
Author(s):  
Habiba Hamid ◽  
Rafidah Md Noor ◽  
Syaril Nizam Omar ◽  
Ismail Ahmedy ◽  
Shaik Shabana Anjum ◽  
...  
Keyword(s):  
Systematic Mapping Study ◽  
Mapping Study ◽  
Systematic Mapping
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