A systematic literature review of the SBSE research community in Spain

The runtime environment is an important concern for self-adaptive systems (SASs). Although researchers have proposed many approaches for developing SASs that address the issue of uncertain runtime environments, the understanding of these environments varies depending on the objectives, perspectives, and assumptions of the research. Thus, the current understanding of the environment in SAS development is ambiguous and abstract. To make this understanding more concrete, we describe the landscape in this area through a systematic literature review (SLR). We examined 128 primary studies and 14 unique environment models. We investigated concepts of the environment depicted in the primary studies and the proposed environment models based on their ability to aid in understanding. This illustrates the characteristics of the SAS environment, the associated emerging environmental uncertainties, and what is expressed in the existing environment models. This paper makes explicit the implicit understanding about the environment made by the SAS research community and organizes and visualizes them.

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Gangs and social media: A systematic literature review and an identification of future challenges, risks and recommendations

New Media & Society ◽

10.1177/1461444821994490 ◽

2021 ◽

pp. 146144482199449

Author(s):

Ariadna Fernández-Planells ◽

Enrique Orduña-Malea ◽

Carles Feixa Pàmpols

Keyword(s):

Social Media ◽

Literature Review ◽

Systematic Literature Review ◽

Structural Characteristics ◽

Evaluation Model ◽

Research Community ◽

Communicative Practices ◽

Future Challenges ◽

Media Research ◽

Use Of Social Media

Gang literature increasingly reflects the importance of social media in gang lifestyle, as gang members adopt new communicative practices. Yet, because of the multifaceted nature of online gang activity and the diversity of methodologies employed, a general overview of research outcomes is not easily achieved. This article seeks to remedy this by analysing academic studies of gang use of social media. A systematic literature review was conducted in Scopus and Google Scholar databases, which led to the identification of 73 publications. We then undertook a content analysis of each publication using an exhaustive evaluation model, comprising 20 variables and 71 categories. A bibliometric analysis was also performed to determine the structural characteristics of the research community that generates these publications. Our results point to an emerging universe of publications with different themes, methods, samples and ethical protocols. The challenges, risks and recommendations for future social media research with youth street groups are identified.

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A different lens: Changing perspectives using Photo-Elicitation Interviews

Education Policy Analysis Archives ◽

10.14507/epaa.v23.2051 ◽

2015 ◽

Vol 23 ◽

pp. 111 ◽

Cited By ~ 13

Author(s):

Daniela Torre ◽

Joseph Murphy

Keyword(s):

Literature Review ◽

Systematic Literature Review ◽

Research Community ◽

Research Topic ◽

Photo Elicitation ◽

School Staff ◽

School Communities ◽

Key Features ◽

School Practitioners ◽

School Stakeholders

The purpose of this systematic literature review is to document how scholars in various fields have used Photo-Elicitation Interview (PEI), explain the benefits and obstacles to using this method, and explain how and why education researchers should use PEI. The key features of PEI are that a researcher or participant takes pictures about a research topic that are then used to elicit dialogue during an interview. The results of our review suggest that education scholars and school practitioners can use PEI methods to better understand school communities and the children, parents, and school staff who inhabit them. Utilizing this technique, the research community will be better positioned to speak on behalf of school stakeholders when contributing to policy discussions and when seeking solutions to improving schools.

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Blockchain dan Kecerdasan Buatan dalam Pertanian : Studi Literatur

Jurnal Teknologi Informasi dan Ilmu Komputer ◽

10.25126/jtiik.0814059 ◽

2021 ◽

Vol 8 (1) ◽

pp. 177

Author(s):

Fajar Delli Wihartiko ◽

Sri Nurdiati ◽

Agus Buono ◽

Edi Santosa

Keyword(s):

Artificial Intelligence ◽

Text Mining ◽

Literature Review ◽

Systematic Literature Review ◽

Research Community ◽

Future Research ◽

Literature Study ◽

Blockchain Technology ◽

Artificial Intelligence Technology ◽

Number Of Publications

Dewasa ini teknologi blockchain dan kecerdasan buatan (artificial intelligence/AI) telah diimplementasikan dalam bidang pertanian. Teknologi blockchain menjanjikan keamanan dan peningkatan kepercayaan untuk pengguna. Teknologi kecerdasan buatan menjanjikan berbagai kemudahan bagi pengguna. Perpaduan kedua teknologi tersebut dapat meningkatan kepercayaan terhadap sistem kecerdasan buatan (blockchain for AI) atau dapat juga digunakan untuk meningkatkan kinerja sistem blockchain (AI for blockchain). Tujuan penelitian ini mengulas kedua teknologi tersebut dalam studi literatur serta memberikan tantangan riset ke depan terkait implementasinya di bidang pertanian. Metodologi yang digunakan adalah Systematic Literature Review (SLR) dan text mining. Text mining digunakan untuk memberikan deskripsi riset yang ada berdasarkan kata-kata di setiap artikel terpilih. SLR digunakan untuk memberikan ulasan yang komprehensif terkait riset Blockchain dan kecerdasan Buatan dalam pertanian. Hasil penelitian menunjukan bahwa terdapat 10 % penelitian terkait penerapan blockchain dan AI dalam pertanian. Riset tersebut memiliki potensi besar untuk berkembang terlihat dari peningkatan jumlah publikasi dalam 2 tahun terakhir. Kontribusi penelitian ini meliputi posisi riset terkini dan usulan riset ke depan dengan mempertimbangkan kondisi pertanian Indonesia. Posisi riset tersebut didominasi komunitas peneliti dari negara-negara di Asia seperti India (33%), Pakistan (33%), China (14%) dan Korea (14%). Originalitas penelitian ini terletak pada studi literatur dari integrasi teknologi blockchain dan kecerdasan buatan dalam bidang pertanian menggunakan SLR dan text mining. AbstractArtificial intelligence and blockchain technology are being developed and implemented in Agriculture. Blockchain technology promises security and trust for users. Moreover, artificial intelligence technology promises convenience for users. The combination of these two technologies will increase trust in artificial intelligence systems. Besides, this combination can also increase security on the blockchain system through the application of artificial intelligence. This paper summarizes the application of both technologies and reviews them in a systematic literature review, presents a description of articles based on text mining, and provides future research challenges related to the implementation of blockchain and artificial intelligence in agriculture. The methodologies used are Systematic Literature Review (SLR) and text mining. Text mining is used to describe a description of existing research based on the words in each selected article. SLR is used to provide a comprehensive review of Blockchain research and Artificial intelligence in agriculture. The results showed that there were 10% of research related to the application of blockchain and AI in agriculture. This research has great potential for growth as seen from the increase in the number of publications in the last 2 years. The contribution of this research includes the latest research positions and future research proposals taking into account the conditions of Indonesian agriculture. The research position is dominated by the research community from countries in Asia such as India (33%), Pakistan (33%), China (14%) and Korea (14%). The originality of this research is a literature study on the integration of blockchain and artificial intelligence in agriculture using SLR and text mining.

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Security Issues in the Use of Mobile Educational Apps: A Review

International Journal of Interactive Mobile Technologies (iJIM) ◽

10.3991/ijim.v15i06.20631 ◽

2021 ◽

Vol 15 (06) ◽

pp. 124

Author(s):

Emmanuel O.C. Mkpojiogu ◽

Azham Hussain ◽

Monday Onah Agbudu

Keyword(s):

Literature Review ◽

Systematic Literature Review ◽

Mobile Apps ◽

Research Community ◽

Security Issues ◽

Security Challenges ◽

Research Goal ◽

Comprehensive Framework

Although, there are several literatures pertaining to the security issues in the use of mobile apps, these literatures do not sufficiently address issues about the security challenges in the use of mobile educational app. Hence, this work attempts to review the available literatures with the aim of capturing the security issues in the use of mobile educational apps. To achieve the stated research goal, the study applied systematic literature review methodology. Sixty four (64) papers in the area of security issues in the use of mobile educational apps were downloaded. Out of these papers, twenty one (21) most relevant studies were selected for review in order to extract the appropriate information needed for the analysis. The results from the review reveals the scarcity of appropriate literatures on security issues in the use of mobile educational apps and that these issues are a thing of concern, and needed to be looked into in this ever growing world of technologies. However, most of the studies, taken single handedly reviewed lack of comprehensive framework to demonstrate the security challenges in the use of mobile educational apps. Thus, the results from this paper provide additional knowledge to the users of mobile apps as a whole; students in their usage of mobile educational apps and the research community on the current security challenges in the use of mobile educational apps.

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