Sentiment analysis is one of the most frequently used aspects of Natural Language Processing (NLP), which utilizes the polarity classification of reviews expressed at the aspect, sentence or document level. Several businesses and organizations utilize this technique to improve production, as well as employee and service efficiency. However, the users’ reviews in our study were expressed in an unstructured data form, which contained spelling errors, leading to complex classifications for both the users and the machine. To solve the problem, a supervised technique of Machine Learning (ML) algorithms can be applied to the data extraction, where classification polarity can be categorized into a positive, negative or neutral class. In this research, we compared nine ML algorithms to determine the most suitable ML algorithm for creating sentiment polarity classification of customer reviews in Thai, which is a low-resource language. The dataset was collected manually from two online agencies (Agoda.com and Booking.com) utilizing a special Thai language. We employed 11 preprocessing steps to clean and handle the large amount of noise data. Next, the Delta TF-IDF, TF-IDF, N-Gram, and Word2Vec techniques were applied to convert the text reviews into vectors, processed with different ML algorithms, to determine sentiment polarity classification and to make accurate comparisons. All ML algorithms were evaluated for sentiment polarity classification with ten-fold cross-validation, with which to compare the values of recall, precision, F1-score and accuracy. The experiment results show that the Support Vector Machine (SVM) using the Delta TF-IDF technique was the best ML algorithm for polarity classification of hotel reviews in the Thai language with the highest accuracy of 89.96%. The results of this research can be applied as the tool for small and medium-sized enterprises within the field of sentiment analysis of the Thai language in the hotel domain.
{"title":"Sentiment Analysis for Thai Language in Hotel Domain Using Machine Learning Algorithms","authors":"Nattawat Khamphakdee, Pusadee Seresangtakul","doi":"10.18267/j.aip.155","DOIUrl":"https://doi.org/10.18267/j.aip.155","url":null,"abstract":"Sentiment analysis is one of the most frequently used aspects of Natural Language Processing (NLP), which utilizes the polarity classification of reviews expressed at the aspect, sentence or document level. Several businesses and organizations utilize this technique to improve production, as well as employee and service efficiency. However, the users’ reviews in our study were expressed in an unstructured data form, which contained spelling errors, leading to complex classifications for both the users and the machine. To solve the problem, a supervised technique of Machine Learning (ML) algorithms can be applied to the data extraction, where classification polarity can be categorized into a positive, negative or neutral class. In this research, we compared nine ML algorithms to determine the most suitable ML algorithm for creating sentiment polarity classification of customer reviews in Thai, which is a low-resource language. The dataset was collected manually from two online agencies (Agoda.com and Booking.com) utilizing a special Thai language. We employed 11 preprocessing steps to clean and handle the large amount of noise data. Next, the Delta TF-IDF, TF-IDF, N-Gram, and Word2Vec techniques were applied to convert the text reviews into vectors, processed with different ML algorithms, to determine sentiment polarity classification and to make accurate comparisons. All ML algorithms were evaluated for sentiment polarity classification with ten-fold cross-validation, with which to compare the values of recall, precision, F1-score and accuracy. The experiment results show that the Support Vector Machine (SVM) using the Delta TF-IDF technique was the best ML algorithm for polarity classification of hotel reviews in the Thai language with the highest accuracy of 89.96%. The results of this research can be applied as the tool for small and medium-sized enterprises within the field of sentiment analysis of the Thai language in the hotel domain.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45669421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmad Termidzi Bin Serojai, Hamimah Binti Ujir, Irwandi Hipni Bin Mohamad Hipiny
This study explores the factors of e-commerce adoption among Sarawakians. One of the factors is the level of cybersecurity awareness. We aim to assess the readiness for e-commerce among Sarawakians due to the lack of study conducted on the subject. A research model based on the perceived risk (PR), perceived usefulness (PU) and perceived quality of products (PQ), and the intention (I) of adoption of e-commerce services in Sarawak is proposed. The validity of the proposed model is then tested using various validity tests such as item reliability, construct validity, convergent validity and discriminant validity via the SmartPLS software. Once the validity of the model has been determined, a structural equation model is used to study the strength of the model before the test of the hypothesis can be done. The effect size, f2, is calculated by using SmartPLS. The index value of each variable is also plotted in the importance-performance matrix analysis (IPMA). Based on the survey data from 128 end users in Sarawak, the study finds that PU is the most crucial factor in adopting e-commerce services, followed by PQ. Surprisingly, PR does not play any role in the intention of Sarawakians to adopt e-commerce services. The results suggest several important key points as follows: (i) the Sarawak Government and its e-commerce partners should focus on educating the people of Sarawak on the importance of cybersecurity to prevent cyber-related crimes from occurring and causing massive damage in Sarawak’s attempt to digitise its economy; (ii)Sarawakians prefer functional e-commerce services; (iii) the quality of e-commerce products should also be maintained; and (iv) the developers should focus on the usefulness of their products to ensure that their service can be adopted by the people of Sarawak.
{"title":"E-Commerce Readiness Assessment in Sarawak","authors":"Ahmad Termidzi Bin Serojai, Hamimah Binti Ujir, Irwandi Hipni Bin Mohamad Hipiny","doi":"10.18267/j.aip.153","DOIUrl":"https://doi.org/10.18267/j.aip.153","url":null,"abstract":"This study explores the factors of e-commerce adoption among Sarawakians. One of the factors is the level of cybersecurity awareness. We aim to assess the readiness for e-commerce among Sarawakians due to the lack of study conducted on the subject. A research model based on the perceived risk (PR), perceived usefulness (PU) and perceived quality of products (PQ), and the intention (I) of adoption of e-commerce services in Sarawak is proposed. The validity of the proposed model is then tested using various validity tests such as item reliability, construct validity, convergent validity and discriminant validity via the SmartPLS software. Once the validity of the model has been determined, a structural equation model is used to study the strength of the model before the test of the hypothesis can be done. The effect size, f2, is calculated by using SmartPLS. The index value of each variable is also plotted in the importance-performance matrix analysis (IPMA). Based on the survey data from 128 end users in Sarawak, the study finds that PU is the most crucial factor in adopting e-commerce services, followed by PQ. Surprisingly, PR does not play any role in the intention of Sarawakians to adopt e-commerce services. The results suggest several important key points as follows: (i) the Sarawak Government and its e-commerce partners should focus on educating the people of Sarawak on the importance of cybersecurity to prevent cyber-related crimes from occurring and causing massive damage in Sarawak’s attempt to digitise its economy; (ii)Sarawakians prefer functional e-commerce services; (iii) the quality of e-commerce products should also be maintained; and (iv) the developers should focus on the usefulness of their products to ensure that their service can be adopted by the people of Sarawak.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48038738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shabnam Shadroo, Mohsen Yoosefi Nejad, Samira Tavanaiee Yosefian, M. Naserbakht, M. Hosseinzadeh
Mental health is an important issue for university students. The objective of this article was to apply and compare the different classification methods for students’ mental health problems. Furthermore, it presents an ensemble classification method to improve the accuracy of classifiers and assist psychologists in the decision making process. For this, 10 different classifiers were applied for classifying students into two groups. In addition, two methods of combining the classifiers are presented. In the first proposed method, the classifiers were selected based on their accuracy, and then voting was carried out based on maximum probability. In the second proposed method, the methods were combined based on the fields of the confusion table, and the voting was carried out based on majority voting scheme. These two methods were evaluated in two ways. Focusing on the accuracy and the maximum probability voting, the accuracy of the first method was 92.24%, whereas in the second method, it was 95.97%. Further, using confusion table and majority voting applied to the entire dataset, the accuracy reached 96.66%. The results are promising to assist the process of mental health assessment of students.
{"title":"Proposing Two Hybrid Data Mining Models for Discovering Students' Mental Health Problems","authors":"Shabnam Shadroo, Mohsen Yoosefi Nejad, Samira Tavanaiee Yosefian, M. Naserbakht, M. Hosseinzadeh","doi":"10.18267/j.aip.148","DOIUrl":"https://doi.org/10.18267/j.aip.148","url":null,"abstract":"Mental health is an important issue for university students. The objective of this article was to apply and compare the different classification methods for students’ mental health problems. Furthermore, it presents an ensemble classification method to improve the accuracy of classifiers and assist psychologists in the decision making process. For this, 10 different classifiers were applied for classifying students into two groups. In addition, two methods of combining the classifiers are presented. In the first proposed method, the classifiers were selected based on their accuracy, and then voting was carried out based on maximum probability. In the second proposed method, the methods were combined based on the fields of the confusion table, and the voting was carried out based on majority voting scheme. These two methods were evaluated in two ways. Focusing on the accuracy and the maximum probability voting, the accuracy of the first method was 92.24%, whereas in the second method, it was 95.97%. Further, using confusion table and majority voting applied to the entire dataset, the accuracy reached 96.66%. The results are promising to assist the process of mental health assessment of students.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42890229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The article deals with the history of the formation, current state and prospects for the development of social informatics as a current direction in science and education in Russia. The article offers mainly a personal view of the author, who has been involved in shaping social informatics in Russia for the last three decades. The article presents the distinctive features of the Russian scientific school of social informatics and its priorities in the formation of this field. The main directions of research in the field of social informatics in Russia in the context of the formation of the global information society are determined. Particular emphasis is placed on the interdisciplinary nature of many issues related to social informatics and their systematic study. Finally, the article summarizes the current necessity for the deep study of issues related to social informatics, e.g., information inequality, information crime, cyberbullies, manipulation of consciousness, virtualization of society, information wars, information poverty, information culture, and using computers to analyse social phenomena such as communication via social media. It is important not only in the area of scientific research but also in the system of secondary and higher education and training of scholars.
{"title":"Social Informatics: 30 Years of Development of Russian Scientific School","authors":"Konstantin Konstantinovich Kolin","doi":"10.18267/j.aip.150","DOIUrl":"https://doi.org/10.18267/j.aip.150","url":null,"abstract":"The article deals with the history of the formation, current state and prospects for the development of social informatics as a current direction in science and education in Russia. The article offers mainly a personal view of the author, who has been involved in shaping social informatics in Russia for the last three decades. The article presents the distinctive features of the Russian scientific school of social informatics and its priorities in the formation of this field. The main directions of research in the field of social informatics in Russia in the context of the formation of the global information society are determined. Particular emphasis is placed on the interdisciplinary nature of many issues related to social informatics and their systematic study. Finally, the article summarizes the current necessity for the deep study of issues related to social informatics, e.g., information inequality, information crime, cyberbullies, manipulation of consciousness, virtualization of society, information wars, information poverty, information culture, and using computers to analyse social phenomena such as communication via social media. It is important not only in the area of scientific research but also in the system of secondary and higher education and training of scholars.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46209908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this article, we describe the use of dynamic simulation when designing an effective system for order picking within a distribution warehouse. The simulation model was created in the Witness software environment for discrete dynamic simulation and is a modification of a general simulation model of material flows in supplier systems. Using the example of a batch system for picking orders in a drugstore goods warehouse, we discuss the possibilities of using a general simulation model of material flows as an effective framework for the development of system support for warehouse processes using warehouse management system (WMS). The simulation model is based on the possibility of distributing any material flow in the supply system into a finite number of movements with the possibility of using one of the sources and fulfilment of certain conditions. In order to achieve the required optimisation of the order picking system, which depends, in particular, on the unknown duration of goods collection at the picking location, and on the duration of goods sorting in consolidation, the “what-if” analysis has been used as a tool to measure the impact of uncertainty of one or more variables entering the model on the uncertainty of output variables. The study showed that minimisation of the number of physical elements in the model leads to a significantly higher speed of its operation. By means of dynamic simulation, it is possible to test a large number of variants of the picking system layout in a relatively short time and minimise the risk of erroneous decisions associated with the implementation of a suitable WMS.
{"title":"Effective Designing of Order Picking Systems Using Dynamic Simulation","authors":"P. Kašparová, J. Dyntar","doi":"10.18267/j.aip.149","DOIUrl":"https://doi.org/10.18267/j.aip.149","url":null,"abstract":"In this article, we describe the use of dynamic simulation when designing an effective system for order picking within a distribution warehouse. The simulation model was created in the Witness software environment for discrete dynamic simulation and is a modification of a general simulation model of material flows in supplier systems. Using the example of a batch system for picking orders in a drugstore goods warehouse, we discuss the possibilities of using a general simulation model of material flows as an effective framework for the development of system support for warehouse processes using warehouse management system (WMS). The simulation model is based on the possibility of distributing any material flow in the supply system into a finite number of movements with the possibility of using one of the sources and fulfilment of certain conditions. In order to achieve the required optimisation of the order picking system, which depends, in particular, on the unknown duration of goods collection at the picking location, and on the duration of goods sorting in consolidation, the “what-if” analysis has been used as a tool to measure the impact of uncertainty of one or more variables entering the model on the uncertainty of output variables. The study showed that minimisation of the number of physical elements in the model leads to a significantly higher speed of its operation. By means of dynamic simulation, it is possible to test a large number of variants of the picking system layout in a relatively short time and minimise the risk of erroneous decisions associated with the implementation of a suitable WMS.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44227103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Robin Jonák, Zdenek Smutný, M. Simunek, Michal Dolezel
V souvislosti s kontinualnim narůstem maloobchodnich prodejů přes internet a s tim spojených aktivit zasilkových služeb přichazi potřeba inovovat soucasna řeseni v oblasti spravy a řizeni vozoveho parku. Uvedene podporuje take rozvoj konceptu Logistiky 4.0, který odkazuje na masivni digitalni transformaci a zavaděni kyber-fyzických systemů postavených na uměle inteligenci. Diky tomu mohou kupřikladu zasilkove firmy snižit sve provozni naklady, zachovat si konkurenceschopnost a velikost marže. Cilem tohoto clanku je představit zakladni principy, z kterých vychazi nově navržena funkcionalita optimalizace trasy a dojezdových casů. Tato funkcionalita je zamýslena jako soucast inteligentnich dopravnich systemů pro podporu provozovani zasilkových a obslužných služeb. Přinos předkladaneho clanku miři předevsim do oblasti praxe. Clanek poskytuje profesionalům vhled do teto problematiky. Uvedeny jsou take ramcove propocty financni uspory dosažene zavedenim takoveho řeseni v praxi.
{"title":"Route and Travel Time Optimization for Delivery and Utility Services: An Industrial Viewpoint","authors":"Robin Jonák, Zdenek Smutný, M. Simunek, Michal Dolezel","doi":"10.18267/J.AIP.133","DOIUrl":"https://doi.org/10.18267/J.AIP.133","url":null,"abstract":"V souvislosti s kontinualnim narůstem maloobchodnich prodejů přes internet a s tim spojených aktivit zasilkových služeb přichazi potřeba inovovat soucasna řeseni v oblasti spravy a řizeni vozoveho parku. Uvedene podporuje take rozvoj konceptu Logistiky 4.0, který odkazuje na masivni digitalni transformaci a zavaděni kyber-fyzických systemů postavených na uměle inteligenci. Diky tomu mohou kupřikladu zasilkove firmy snižit sve provozni naklady, zachovat si konkurenceschopnost a velikost marže. Cilem tohoto clanku je představit zakladni principy, z kterých vychazi nově navržena funkcionalita optimalizace trasy a dojezdových casů. Tato funkcionalita je zamýslena jako soucast inteligentnich dopravnich systemů pro podporu provozovani zasilkových a obslužných služeb. Přinos předkladaneho clanku miři předevsim do oblasti praxe. Clanek poskytuje profesionalům vhled do teto problematiky. Uvedeny jsou take ramcove propocty financni uspory dosažene zavedenim takoveho řeseni v praxi.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45703432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The rapid evolution of Internet use has led to the collection of big data about users, which has raised users’ privacy concerns about their personal information. This study adopts the hypothesis to evaluate the perception of the information sensitivity of Internet users in Saudi Arabia as research subjects. This study analyzes the sensitivity of 35 types of information through a questionnaire with answers from 508 participants from Saudi Arabia and estimates the cultural influence by comparing Saudi results with users from the USA, Brazil and Germany. Demographic information, such as age, gender, marital status and education, and attitude characteristics, such as disposition to privacy, propensity to take risks, privacy violation experience and trust in institutions, influence Saudi individuals’ perception of sensitivity towards various types of information. The survey results show slight differences in the sensitivity levels between Internet users in Saudi Arabia and their counterparts in other nations. Ultimately, this study contributes to improving the international model of information sensitivity perception between different nations.
{"title":"Perception of Information Sensitivity for Internet Users in Saudi Arabia","authors":"K. Almotairi, Bilal Bataineh","doi":"10.18267/J.AIP.141","DOIUrl":"https://doi.org/10.18267/J.AIP.141","url":null,"abstract":"The rapid evolution of Internet use has led to the collection of big data about users, which has raised users’ privacy concerns about their personal information. This study adopts the hypothesis to evaluate the perception of the information sensitivity of Internet users in Saudi Arabia as research subjects. This study analyzes the sensitivity of 35 types of information through a questionnaire with answers from 508 participants from Saudi Arabia and estimates the cultural influence by comparing Saudi results with users from the USA, Brazil and Germany. Demographic information, such as age, gender, marital status and education, and attitude characteristics, such as disposition to privacy, propensity to take risks, privacy violation experience and trust in institutions, influence Saudi individuals’ perception of sensitivity towards various types of information. The survey results show slight differences in the sensitivity levels between Internet users in Saudi Arabia and their counterparts in other nations. Ultimately, this study contributes to improving the international model of information sensitivity perception between different nations.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44226124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Czech government institutions commissioned a research on extracting usual unit prices from public IT contracts to aid future public tender sizing. The goal of the project is to obtain millions of contracts from the public register, convert them to full text, extract unit prices from the text and publish a pricelist of IT industry manday prices. This paper designs the process and method of price extraction, demonstrates and evaluates the result on five iterations of extraction and discusses the experience of two years of project performance. The process is designed as a set of repeatable workflows and specified activity and role description. The method is designed as a combination of automated and manual actions. Due to the format and content variability of involved documents and the low mistake tolerance, the possibility of automated extraction of unit prices from full text contract is limited, and human workforce for validation is crucial.
{"title":"The Process of Unit Price Extraction from Public Sector Contracts","authors":"T. Bruckner, Filip Vencovský","doi":"10.18267/J.AIP.139","DOIUrl":"https://doi.org/10.18267/J.AIP.139","url":null,"abstract":"Czech government institutions commissioned a research on extracting usual unit prices from public IT contracts to aid future public tender sizing. The goal of the project is to obtain millions of contracts from the public register, convert them to full text, extract unit prices from the text and publish a pricelist of IT industry manday prices. This paper designs the process and method of price extraction, demonstrates and evaluates the result on five iterations of extraction and discusses the experience of two years of project performance. The process is designed as a set of repeatable workflows and specified activity and role description. The method is designed as a combination of automated and manual actions. Due to the format and content variability of involved documents and the low mistake tolerance, the possibility of automated extraction of unit prices from full text contract is limited, and human workforce for validation is crucial.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43785055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Digitalni transformace vyžaduje uplatněni efektivnich metod, technik a nastrojů pro vývoj inovativnich IT řeseni. Tuto ulohu plni agilni přistupy k vývoji softwaru, ktere jsou masivně využivany v praxi, o cemž svědci cela řada průzkumů realizovaných ve světě. Cilem tohoto sděleni je informovat o průzkumech zaměřených na agilni přistupy k vývoji softwaru, ktere byly realizovany v Ceske republice. Je to jednak průzkum zaměřený na využivani agilnich přistupů k vývoji softwaru v praxi firem v Ceske republice, který byl realizovan v roce 2019, a průzkum výuky agilnich přistupů na univerzitach v Ceske republice realizovaný v roce 2020. Sděleni ukazuje rozpor mezi potřebami praxe a stavem připravy odborniků na vysokých skolach a porovnava stav v Ceske republice se stavem ve světě.
{"title":"The Use and Teaching of Agile Software Development in the Czech Republic","authors":"Alena Buchalcevová","doi":"10.18267/J.AIP.142","DOIUrl":"https://doi.org/10.18267/J.AIP.142","url":null,"abstract":"Digitalni transformace vyžaduje uplatněni efektivnich metod, technik a nastrojů pro vývoj inovativnich IT řeseni. Tuto ulohu plni agilni přistupy k vývoji softwaru, ktere jsou masivně využivany v praxi, o cemž svědci cela řada průzkumů realizovaných ve světě. Cilem tohoto sděleni je informovat o průzkumech zaměřených na agilni přistupy k vývoji softwaru, ktere byly realizovany v Ceske republice. Je to jednak průzkum zaměřený na využivani agilnich přistupů k vývoji softwaru v praxi firem v Ceske republice, který byl realizovan v roce 2019, a průzkum výuky agilnich přistupů na univerzitach v Ceske republice realizovaný v roce 2020. Sděleni ukazuje rozpor mezi potřebami praxe a stavem připravy odborniků na vysokých skolach a porovnava stav v Ceske republice se stavem ve světě.","PeriodicalId":36592,"journal":{"name":"Acta Informatica Pragensia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46185847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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