Abstract:The research study provides a comprehensive bibliometric assessment in the field of Software Testing (ST). The dynamic evolution in the field of ST is evident from the publication rate over the last six years. The research study is carried out to provide insight into the field of ST from various research bibliometric aspects. Our methodological approach includes dividing the six-year time frame into the set of two symmetric but different periods (2016–2018) and (2019–2021) comprising a total of 75,098 records.… Show more
“…As for the second step of our analysis, pertaining to the bibliometric analysis, a series of indicators have been discussed in accordance to other papers, which have used the same analysis approach [37,[51][52][53][54].…”
Section: Methodsmentioning
confidence: 99%
“…This analysis allowed us to extract the most pertinent and relevant information from the dataset. The choice for using Bibliometrix (Naples, Italy) is in line with other studies from the field, which have used the same software for a bibliometric analysis across various research fields [51][52][53][58][59][60]. Besides being open access, the R-based Bibliometrix package stands out due to its advanced visualization techniques [37,49].…”
This paper presents a bibliometric analysis within the research domain dedicated to the utilization of agent-based modeling (ABM) in the field of transportation. By employing specific keywords related to both agent-based modeling and transportation, we have identified and extracted 1016 scholarly papers from the ISI Web of Science database, spanning the period from 2002 to 2023. Through the application of bibliometric methods, we have systematically examined key contributors, affiliations of academic institutions, influential publications, and renowned journals within this domain. Our analysis reveals a consistent and robust growth in scholarly interest pertaining to agent-based modeling in the field of transportation throughout the considered period. Notably, within approximately four decades of ABM’s application in transportation, a distinct upward trajectory began in 2008, culminating in the year 2021. The entire considered period witnessed a remarkable surge in paper production, characterized by an annual growth rate of 21.67%. Furthermore, employing an n-gram analysis, we have delineated and discussed the principal areas within transportation that have progressively benefited from the advancements in agent-based modeling. Prominently, the domains of air transport and road transport have exhibited substantial development over time, while the implications of climate change have emerged as a persistent concern throughout the entire study period.
“…As for the second step of our analysis, pertaining to the bibliometric analysis, a series of indicators have been discussed in accordance to other papers, which have used the same analysis approach [37,[51][52][53][54].…”
Section: Methodsmentioning
confidence: 99%
“…This analysis allowed us to extract the most pertinent and relevant information from the dataset. The choice for using Bibliometrix (Naples, Italy) is in line with other studies from the field, which have used the same software for a bibliometric analysis across various research fields [51][52][53][58][59][60]. Besides being open access, the R-based Bibliometrix package stands out due to its advanced visualization techniques [37,49].…”
This paper presents a bibliometric analysis within the research domain dedicated to the utilization of agent-based modeling (ABM) in the field of transportation. By employing specific keywords related to both agent-based modeling and transportation, we have identified and extracted 1016 scholarly papers from the ISI Web of Science database, spanning the period from 2002 to 2023. Through the application of bibliometric methods, we have systematically examined key contributors, affiliations of academic institutions, influential publications, and renowned journals within this domain. Our analysis reveals a consistent and robust growth in scholarly interest pertaining to agent-based modeling in the field of transportation throughout the considered period. Notably, within approximately four decades of ABM’s application in transportation, a distinct upward trajectory began in 2008, culminating in the year 2021. The entire considered period witnessed a remarkable surge in paper production, characterized by an annual growth rate of 21.67%. Furthermore, employing an n-gram analysis, we have delineated and discussed the principal areas within transportation that have progressively benefited from the advancements in agent-based modeling. Prominently, the domains of air transport and road transport have exhibited substantial development over time, while the implications of climate change have emerged as a persistent concern throughout the entire study period.
“…Bibliometric analysis has been proven effective in many diverse research areas, from medicine [19], through social sciences [26], to mathematics [3]. In the area of software engineering, it has been used to investigate the quantity, characteristics and scope of the studies pertaining to, among others, software testing [28], model-driven software engineering [2], agile software development [1], software product lines [13], and search-based software engineering [5]. It has also been successfully applied to explore the contribution to the software engineering research of specific countries [9].…”
Since the collapse of the Soviet Bloc, Polish researchers in the software engineering area made a large e ort to close the gap developed during the times of the Iron Curtain and the ensuing limited access to Western technology. The question arises as to whether they eventually managed to attain – or maybe even to surpass the scientific output in this area of the developed Western countries. In this paper, we perform analysis on papers published in 16 high-quality software engineering journals within the last 30 years to measure the Polish contribution to the global scientific output in the area of software engineering. We observe how the Polish contribution changed in quantity in relation to the global scientific output in subsequent years. We also identify the journals that attracted the Polish authors the most, the institutions located in Poland that contributed the most, as well as the most productive Polish authors and the most acknowledged works (in terms of citation number) written by Polish authors. Moreover, we investigate the topics most often chosen by them.
“…This section outlines the bibliometric analysis performed on the dataset. All the images presented on the subsequent pages were created using Biblioshiny [42], a highly esteemed R tool widely embraced within the scientific community [43][44][45]. This tool is distinguished by its expansive array of functionalities, captivating visual design of figures and graphs, as well as its advanced and innovative features.…”
In recent years, the research community has increasingly embraced topics related to smart cities, recognizing their potential to enhance residents’ quality of life and create sustainable, efficient urban environments through the integration of diverse systems and services. Concurrently, recommender systems have demonstrated continued improvement in accuracy, delivering more precise recommendations for items or content and aiding users in decision-making processes. This paper explores the utilization of recommender systems in the context of smart cities by analyzing a dataset comprised of papers indexed in the ISI Web of Science database. Through bibliometric analysis, key themes, trends, prominent authors and institutions, preferred journals, and collaboration networks among authors were extracted. The findings revealed an average annual scientific production growth of 25.85%. Additionally, an n-gram analysis across keywords, abstracts, titles, and keywords plus, along with a review of selected papers, enriched the analysis. The insights gained from these efforts offer valuable perspectives, contribute to identifying pertinent issues, and provide guidance on trends in this evolving field. The importance of recommender systems in the context of smart cities lies in their ability to enhance urban living by providing personalized and efficient recommendations, optimizing resource utilization, improving decision-making processes, and ultimately contributing to a more sustainable and intelligent urban environment.
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