Dynamic Testing Techniques of Non-Functional Requirements in Mobile Apps: A Systematic Mapping Study

Context: The mobile app market is continually growing offering solutions to almost all aspects of people’s lives, e.g., healthcare, business, entertainment, as well as the stakeholders’ demand for apps that are more secure, portable, easy to use, among other non-functional requirements (NFRs). Therefore, manufacturers should guarantee that their mobile apps achieve high-quality levels. A good strategy is to include software testing and quality assurance activities during the whole life cycle of such solutions. Problem: Systematically warranting NFRs is not an easy task for any software product. Software engineers must take important decisions before adopting testing techniques and automation tools to support such endeavors. Proposal: To provide to the software engineers with a broad overview of existing dynamic techniques and automation tools for testing mobile apps regarding NFRs. Methods: We planned and conducted a Systematic Mapping Study (SMS) following well-established guidelines for executing secondary studies in software engineering. Results: We found 56 primary studies and characterized their contributions based on testing strategies, testing approaches, explored mobile platforms, and the proposed tools. Conclusions: The characterization allowed us to identify and discuss important trends and opportunities that can benefit both academics and practitioners.

How Reliable and Valid are the Evaluations of Digital Competence in Higher Education: A Systematic Mapping Study

Evaluating digital competencies has become a topic of growing interest in recent years. Although several reviews and studies have summarized the main elements of progress and shortcomings in this area, some issues are yet to be explored. Very little information is available about the ways of ensuring the validity and reliability of the instrument used. This study addresses this issue through systematic mapping covering the period from January 2015 to July 2020. Based on 88 primary studies, we conclude that a growing number of studies have emerged over the years; most of them are based on European university students in social science programs; the quality of the journals where they were published is low; and the instruments used are mostly questionnaires and ad-hoc surveys that measure the various dimensions of digital competence based on participants’ perceptions. Out of the eight possible types of quality assessment, studies commonly report only four (one in the case of reliability and three in the case of validity). More than 50% of the studies do not provide evidence of having assessed the reliability and validity at the same time. Although participant discipline resulted in a significantly association with the practice of reporting reliability and validity assessments, no specific dimension explained such association. A non-parametric multivariate analysis reveals, among other interesting patterns, that the practice of not reporting quality assessments is more present in studies where participants belong to the fields of Engineering and Technology, Health Sciences, and Humanities.

IoT Security and Privacy Concern A systematic Mapping Study

The extend of clever gadgets has accelerated touchy statistics trade on the Internet the usage of most of the time unsecured channels. Since a large use of RFID (Radio-frequency Identification) tags in the transportation and development industries from 1980 to 1990, with the multiplied use of the Internet with 2G/3G or 4G when you consider that 2000, we are witnessing a new generation of related objects. . This paper aims to understand and additionally grant continuing doe’s research topic, challenge, and Future Direction related to Iot security. A systematic mapping finds out about (SMS) is thus utilized on the way to organize the chosen Articles into the following classification: contribution type, Type of Research, Iot Security, and their approach. We take out an overall of twenty-four Articles in support of this systematic discover out about also they categorize the following described criterion. The findings of this SMS are mentioned and the researcher was once given hints on the possible route for future research

Sensors and Artificial Intelligence Methods and Algorithms for Human–Computer Intelligent Interaction: A Systematic Mapping Study

To equip computers with human communication skills and to enable natural interaction between the computer and a human, intelligent solutions are required based on artificial intelligence (AI) methods, algorithms, and sensor technology. This study aimed at identifying and analyzing the state-of-the-art AI methods and algorithms and sensors technology in existing human–computer intelligent interaction (HCII) research to explore trends in HCII research, categorize existing evidence, and identify potential directions for future research. We conduct a systematic mapping study of the HCII body of research. Four hundred fifty-four studies published in various journals and conferences between 2010 and 2021 were identified and analyzed. Studies in the HCII and IUI fields have primarily been focused on intelligent recognition of emotion, gestures, and facial expressions using sensors technology, such as the camera, EEG, Kinect, wearable sensors, eye tracker, gyroscope, and others. Researchers most often apply deep-learning and instance-based AI methods and algorithms. The support sector machine (SVM) is the most widely used algorithm for various kinds of recognition, primarily an emotion, facial expression, and gesture. The convolutional neural network (CNN) is the often-used deep-learning algorithm for emotion recognition, facial recognition, and gesture recognition solutions.

Collaborative Governance for Poverty Alleviation: A Systematic Mapping Study

The study of poverty reduction is very relevant in the 21st century. The rapid development of technology has proven to improve various quality of life but has not been able to solve the problem of poverty in a total scale. On the other hand, the development of public administration science, especially regarding collaborative governance, provides hope for poverty reduction through the active role of various parties. Many experts explain that poverty is a complex problem. Poverty reduction efforts must be carried out in a holistic and participatory manner. Furthermore, there needs to be an active contribution from various parties, namely the government, the private sector and the community. This requires researchers to conduct further studies on how Collaborative Governance can be an alternative solution to solving the problem of poverty. This study aims to delineate the development of Collaborative Governance studies through the Systematic Mapping Study and associate it to the poverty alleviation to obtain the current research position. The study shows that research on Collaborative Governance for Poverty Reduction is included in Social Issues in Community concentration and it has the lowest percentage. The most widely used method in the research concentrated on Collaborative Governance is qualitative, and the publication trend shows a very significant development, especially in 2014-2018. Therefore, research on collaborative governance for poverty alleviation is still very limited and the opportunity to produce variety of renewals is very large.

Gridshells in Recent Research—A Systematic Mapping Study

Gridshells are shells where the structural system is some kind of grid of linear members rather than a surface. With today’s focus on environmentally friendly solutions, gridshells have gained increased relevance as inherently material-efficient structures. This paper investigates the recent research on gridshells, who performs it and what their contributions are, and will thus provide an overview of the research field of gridshells. This study is performed as a systematic mapping. The articles were categorised by research type, motivation, contribution, gridshell type, material, and scientific field. The study shows that most articles are within structural engineering, whereas contributions from architecture were hard to find. The typical study was theoretical studies performing analyses on a specific load or structural behaviour. Some possible knowledge gaps were also identified, including review articles on loads and behaviour, research on bending active metal gridshells and development of gridshell nodes.

The external and data loose coupling for the integration of software units: a systematic mapping study

Integration of legacy and third-party software systems is almost mandatory for enterprises. This fact is based mainly on exchanging information with other entities (banks, suppliers, customers, partners, etc.). That is why it is necessary to guarantee the integrity of the data and keep these integration’s up-to-date due to the different global business changes is facing today to reduce the risk in transactions and avoid losing information. This article presents a Systematic Mapping Study (SMS) about integrating software units at the component level. Systematic mapping is a methodology that has been widely used in medical research and has recently begun to be used in Software Engineering to classify and structure the research results that have been published to know the advances in a topic and identify research gaps. This work aims to organize the existing evidence in the current scientific literature on integrating software units for external and data loose coupling. This information can establish lines of research and work that must be addressed to improve the integration of low-level systems.