scholarly journals Intelligent Mobile Applications: A Systematic Mapping Study

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Taoufik Rachad ◽  
Ali Idri
Keyword(s):  
Mobile Technology ◽  
Mobile Applications ◽  
Daily Life ◽  
Systematic Mapping Study ◽  
Mapping Study ◽  
Systematic Mapping ◽  
E Learning ◽  
Application Fields ◽  
Research Type

Smart mobiles as the most affordable and practical ubiquitous devices participate heavily in the enhancement of our daily life by the use of many convenient applications. However, the significant number of mobile users in addition to their heterogeneity (different profiles and contexts) obligates developers to enhance the quality of their apps by making them more intelligent and more flexible. This is realized mainly by analyzing mobile user’s data. Machine learning (ML) technology provides the methodology and techniques needed to extract knowledge from data to facilitate decision-making. Therefore, both developers and researchers affirm the benefits of combining ML techniques and mobile technology in several application fields as e-health, e-learning, e-commerce, and e-coaching. Thus, the purpose of this paper is to have an overview of the use of ML techniques in the design and development of mobile applications. Therefore, we performed a systematic mapping study of papers published on this subject in the period between 1 January 2007 and 31 December 2019. A total number of 71 papers were selected, studied, and analyzed according to the following criteria, year, sources and channel of publication, research type, and methods, kind of collected data, and finally adopted ML models, tasks, and techniques.

scholarly journals Quality of Experience in Mobile Applications: A Systematic Mapping of Metrics and Tools

2020 ◽  
Vol 14 (08) ◽  
pp. 126
Author(s):  
Antonio Collazo Garcia ◽  
Sandra Casas
Keyword(s):  
Mobile Applications ◽  
Quality Of Experience ◽  
Service Providers ◽  
Mobile Technologies ◽  
Systematic Mapping Study ◽  
Mapping Study ◽  
Systematic Mapping ◽  
User Perceptions ◽  
Analysis Tools

<p><span>Context: Quality of Experience (QoE) enables the description of user perceptions about the performance of a particular application or service. In the mobile computing context, it is an important measure for service providers and users, since QoE makes it possible to improve it and make it more competitive to achieve user fidelity. In turn, the importance of QoE in mobile technologies increases due to the various factors that affect the applications that run on mobile devices. </span><span>Objective: The purpose of this study is to identify the metrics and tools relevant to the scientific community for the QoE analysis of mobile applications. </span><span>Method: A systematic mapping study was conducted. </span><span>Results: From a total of 751 studies, 33 were selected, and 13 metrics and 15 mobile QoE analysis tools were identified. </span><span>Conclusions: The existing mobile QoE analysis tools collect and calculate metrics automatically, combining objective and subjective metrics. However, they present limited approaches, making it difficult to carry out an integral analysis of the applications. </span></p>

scholarly journals Methods used in mobile applications for the diagnosis of hearing loss: A systematic mapping study

2020 ◽  
Author(s):  
Atencio Vizcaíno Hebert Leonidas ◽  
Tintín Perdomo Verónica Paulina ◽  
Caiza Caizabuano José Rubén ◽  
Caicedo Altamirano Fernando Sebastián
Keyword(s):  
Health Care ◽  
Hearing Loss ◽  
Mobile Applications ◽  
Pure Tone ◽  
Measurement Methods ◽  
Diagnostic Methods ◽  
Systematic Mapping Study ◽  
Mapping Study ◽  
Systematic Mapping ◽  
Pure Tones

Hearing loss is one of the most common health problems today, it can appear at any age and the causes are varied, in order to prevent it or adapt to the changes brought about by the hearing impairment, it is necessary to diagnose it in time. The technology in terms of applications for health care smartphones has constantly evolved, so that today play an important role and are among the most downloaded from application stores, several of these applications are the diagnosis of hearing loss and use the method of pure tones. In this study a Systematic Mapping of Literature SMS (Systematic Mapping Study) is made to look for mobile applications that use other diagnostic methods that offer similar or better results, of the 13 applications found, 11 used the method of pure tones and in only 2 of them was implemented the speech audiometry (word recognition), concludes that diagnostic hearing loss tests based on mobile applications are reliable alternatives to conventional audiometric systems, and that pure tone thresholds alone are an incomplete assessment of hearing, and there is a need to develop new hearing measurement methods and combine them with other methods to complement the diagnosis. Resumen: La pérdida de la audición es uno de los problemas de salud más comunes en la actualidad, puede aparecer a cualquier edad y las causas son variadas, para poder prevenirla o adaptarse a los cambios que conlleva la deficiencia auditiva, es necesario diagnosticarla a tiempo. La tecnología en cuanto a aplicaciones para smartphones de asistencia de salud ha evolucionado constantemente, tal es así que hoy en día juegan un papel importante y son de las más descargadas de las tiendas de aplicaciones, varias de esas aplicaciones son las de diagnóstico de pérdida auditiva y utilizan el método de los tonos puros. En este estudio se hace un Mapeo Sistemático de Literatura SMS (Systematic Mapping Study) para buscar aplicaciones móviles que utilicen otros métodos de diagnóstico que ofrezcan similares o mejores resultados, de las 13 aplicaciones encontradas, 11 utilizaron el método de los tonos puros y en solo 2 de ellas se implementó la logoaudiometria (reconocimiento de palabras), por lo que se concluye que las pruebas de diagnóstico de pérdida auditiva basadas en aplicaciones móviles, son alternativas confiables a los sistemas de audiometría convencionales,  y que los umbrales de tonos puros por sí solos son una evaluación incompleta de la audición, y existe la necesidad de desarrollar nuevos métodos de medición de audición y combinarlos con otros métodos para complementar el diagnóstico.

A systematic mapping study on tourism business networks

2018 ◽  
Vol 30 (6) ◽  
pp. 676-706 ◽  
Author(s):  
Ali Heidari ◽  
Hamid Reza Yazdani ◽  
Fatemeh Saghafi ◽  
Mohammad Reza Jalilvand
Keyword(s):  
Delphi Study ◽  
Linear Time ◽  
Systematic Mapping Study ◽  
Business Networks ◽  
Mapping Study ◽  
Research Focus ◽  
Systematic Mapping ◽  
Content Type ◽  
Number Of Publications ◽  
Research Type

Purpose This study aims at characterizing and identifying the existing research on tourism business networks. Design/methodology/approach The authors conducted a systematic mapping study to identify and analyze related literature. They identified 225 primary studies, dated from 1997-2016, and classified them with respect to research focus, types of research and contribution. Findings Seventy four studies were identified and mapped, synthesizing the available evidence on tourism business networks. “Business networks” with 27 articles is the dominant research focus and “Network configuration” with 22 articles is the next dominant one. Regarding the research type, “Solution proposal” is the most frequently used research type. “Interview” and “Case study”, respectively, were the most used research methods. However, “Agent-based modeling”, “Delphi study” and “Non-linear time series analysis” were used less often. “Philosophical paper” was the most common research type between 1997 and 2002, and after that “Solution proposal” was the dominant research paper type. Further, the number of publications has declined between 2012 and 2014. Originality/value This mapping study provides the first systematic exploration of the state-of-art on tourism business networks research. The existing body of knowledge is limited to a few high quality studies.

Research on Energy Efficiency of Embedded Systems: A Systematic Mapping Study

2012 ◽  
Vol 588-589 ◽  
pp. 2088-2092
Author(s):  
Ehsan Ahmad ◽  
Yun Wei Dong ◽  
Bin Gu
Keyword(s):  
Energy Efficiency ◽  
Embedded Systems ◽  
State Of The Art ◽  
Future Research ◽  
Systematic Mapping Study ◽  
Mapping Study ◽  
Research Focus ◽  
Research Papers ◽  
Systematic Mapping ◽  
Research Type

The main object of this study is to systematically review existing research on energy efficiency of embedded systems in order to identify investigated aspects and needs for future research. We have conducted a systematic mapping study of the state-of-the-art on energy efficiency of embedded systems. 186 papers have been identified as primary studies from year 1994 to 2011 and classified by research focus, research type, and contribution type. 71% of the research papers are solutions proposals; power estimation is the most investigated aspect in terms of research focus (34%) and majority of the studies contributed in terms of methods.

Automated functional testing of mobile applications: a systematic mapping study

2018 ◽  
Vol 27 (1) ◽  
pp. 149-201 ◽  
Author(s):  
Porfirio Tramontana ◽  
Domenico Amalfitano ◽  
Nicola Amatucci ◽  
Anna Rita Fasolino
Keyword(s):  
Mobile Applications ◽  
Systematic Mapping Study ◽  
Functional Testing ◽  
Mapping Study ◽  
Systematic Mapping

scholarly journals Gamified Mobile Applications for Improving Driving Behavior: A Systematic Mapping Study

2021 ◽  
Vol 2021 ◽  
pp. 1-24
Author(s):  
Abderrahim El hafidy ◽  
Taoufik Rachad ◽  
Ali Idri ◽  
Ahmed Zellou
Keyword(s):  
Machine Learning ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Driving Behavior ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Systematic Mapping Study ◽  
Mapping Study ◽  
Systematic Mapping ◽  
Learning Techniques

Many research works and official reports approve that irresponsible driving behavior on the road is the main cause of accidents. Consequently, responsible driving behavior can significantly reduce accidents’ number and severity. Therefore, in the research area as well as in the industrial area, mobile technologies are widely exploited in assisting drivers in reducing accident rates and preventing accidents. For instance, several mobile apps are provided to assist drivers in improving their driving behavior. Recently and thanks to mobile cloud computing, smartphones can benefit from the computing power of servers in the cloud for executing machine learning algorithms. Therefore, many mobile applications of driving assistance and control are based on machine learning techniques to adjust their functioning automatically to driver history, context, and profile. Additionally, gamification is a key element in the design of these mobile applications that allow drivers to develop their engagement and motivation to improve their driving behavior. To have an overview concerning existing mobile apps that improve driving behavior, we have chosen to conduct a systematic mapping study about driving behavior mobile apps that exist in the most common mobile apps repositories or that were published as research works in digital libraries. In particular, we should explore their functionalities, the kinds of collected data, the used gamification elements, and the used machine learning techniques and algorithms. We have successfully identified 220 mobile apps that help to improve driving behavior. In this work, we will extract all the data that seem to be useful for the classification and analysis of the functionalities offered by these applications.

scholarly journals On the quality of quantitative instruments to measure digital competence in higher education: A systematic mapping study

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257344
Author(s):  
Rafael Saltos-Rivas ◽  
Pavel Novoa-Hernández ◽  
Rocío Serrano Rodríguez
Keyword(s):  
Higher Education ◽  
Reliability And Validity ◽  
Systematic Mapping Study ◽  
Mapping Study ◽  
Digital Competence ◽  
Systematic Mapping ◽  
Reporting Practices ◽  
Report Quality ◽  
Quality Assessments

In this study, we report on a Systematic Mapping Study (SMS) on how the quality of the quantitative instruments used to measure digital competencies in higher education is assured. 73 primary studies were selected from the published literature in the last 10 years in order to 1) characterize the literature, 2) evaluate the reporting practice of quality assessments, and 3) analyze which variables explain such reporting practices. The results indicate that most of the studies focused on medium to large samples of European university students, who attended social science programs. Ad hoc, self-reported questionnaires measuring various digital competence areas were the most commonly used method for data collection. The studies were mostly published in low tier journals. 36% of the studies did not report any quality assessment, while less than 50% covered both groups of reliability and validity assessments at the same time. In general, the studies had a moderate to high depth of evidence on the assessments performed. We found that studies in which several areas of digital competence were measured were more likely to report quality assessments. In addition, we estimate that the probability of finding studies with acceptable or good reporting practices increases over time.

scholarly journals Quality of Web Mashups: A Systematic Mapping Study

2013 ◽  
pp. 66-78 ◽  
Author(s):  
Priscila Cedillo ◽  
Adrian Fernandez ◽  
Emilio Insfran ◽  
Silvia Abrahão
Keyword(s):  
Systematic Mapping Study ◽  
Mapping Study ◽  
Systematic Mapping

Systematic mapping study of data mining–based empirical studies in cardiology

2017 ◽  
Vol 25 (3) ◽  
pp. 741-770 ◽  
Author(s):  
Ilham Kadi ◽  
Ali Idri ◽  
José Luis Fernandez-Aleman
Keyword(s):  
Data Mining ◽  
Empirical Studies ◽  
Large Data ◽  
Large Data Sets ◽  
Systematic Mapping Study ◽  
Data Sets ◽  
Mapping Study ◽  
Systematic Mapping ◽  
Research Type ◽  
Medical Task

Data mining provides the methodology and technology to transform huge amount of data into useful information for decision making. It is a powerful process to extract knowledge and discover new patterns embedded in large data sets. Data mining has been increasingly used in medicine, particularly in cardiology. In fact, data mining applications can greatly benefits all parts involved in cardiology such as patients, cardiologists and nurses. This article aims to perform a systematic mapping study so as to analyze and synthesize empirical studies on the application of data mining techniques in cardiology. A total of 142 articles published between 2000 and 2015 were therefore selected, studied and analyzed according to the four following criteria: year and channel of publication, research type, medical task and empirical type. The results of this mapping study are discussed and a list of recommendations for researchers and cardiologists is provided.

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