Uğuz, Sezer

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Citation - WoS: 2
The Effect of Population and Tourism Factors on Covid-19 Cases in Italy: Visual Data Analysis and Forecasting Approach
(Wiley, 2022) Ozyer, Baris; Ozyer, Gulsah Tumuklu; Tokdemir, Gul; Uguz, Sezer; Yaganoglu, Mete
At the beginning of 2020, the new coronavirus disease (Covid-19), a deadly viral illness, is declared as a public health emergency situation by WHO. Consequently, it is accepted as pandemic that affected millions of people worldwide. Italy is one of the most affected countries by Covid-19 disease among the world. In this article, our main goal is to investigate the effect of intensity of Covid-19 cases based on the population size and tourism factors in certain regions of Italy by visual data analysis. The regions of Lombardia, Veneto, Campania, Emilia-Romagna, Piemonte are the top five regions covering 58.50% of the total Covid-19 cases diagnosed in Italy. It has been shown by visual data analysis that population and tourism factors play an important role in the spread of Covid-19 cases in these five regions. In addition, a prediction model was created using Bi-LSTM and ARIMA algorithms to forecast the number of Covid-19 cases occurring in these five regions in order to take early action. We can conclude that these northern regions have been affected mostly by Covid-19 and the distribution of the resident population and tourist flow factors affected the number of Covid-19 cases in Italy.
Citation - Scopus: 1
Research Trends in Agile Software Development
(Institute of Electrical and Electronics Engineers Inc., 2022) Tokdemir, G.; Uguz, S.
Agile software development (ASD) is a popular research area that attracts the attention of the software development industry as well. Many studies have been conducted to explore the issues related to the ASD domain. Research is still very vigorous in this domain as there is continuous interest from companies to adopt ASD in their software development processes. Moreover, with the remote work setting that the pandemic forces, software companies search for new methods and approaches to manage their projects effectively and successfully. Hence, this study explores the research conducted in the last two decades in the ASD domain through text mining to reveal the trending topics that get attention from scholars. According to the results of this study, eight topics are identified for the research in ASD domain. Among those, topics of Team Communication, Agile Development, and Software Development Process are the most popular, the most funded, and the most cited topics respectively. © 2022 IEEE.

Journal	Count
2022 International Conference on Emerging Trends in Computing and Engineering Applications, ETCEA 2022 - Proceedings -- 2022 International Conference on Emerging Trends in Computing and Engineering Applications, ETCEA 2022 -- 23 November 2022 through 25 November 2022 -- Karak -- 186022	1
Concurrency and Computation: Practice and Experience	1

Uğuz, Sezer

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