{"title":"Design for Content Creation Support Application Based on TMS Method","authors":"S. Aoki, T. Fujimoto","doi":"10.17706/jsw.17.6.261-268","DOIUrl":"https://doi.org/10.17706/jsw.17.6.261-268","url":null,"abstract":"In this research, we design a support application for Transmedia storytelling (TMS) content creation. The target of this application is the creators who are not familiar with TMS content creation. Developing a story with the different types of media and delivering a story experience to audiences is much more difficult compared to the content creation with a simple media platform. Therefore, we propose the application that enables users to create TMS content efficiently by following the provided flow from step1 to 8 through which they can create and combine the content elements; stories, characters, story worlds, and story experiences. Thus, this application makes it possible to create TMS content efficiently.","PeriodicalId":11452,"journal":{"name":"e Informatica Softw. Eng. J.","volume":"88 1","pages":"261-268"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90620054","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}
Tauheed Khan Mohd, J. Thompson, Amedeo Carmine, Grant Reuter
{"title":"Comparative Analysis on Various CSS and JavaScript Frameworks","authors":"Tauheed Khan Mohd, J. Thompson, Amedeo Carmine, Grant Reuter","doi":"10.17706/jsw.17.6.282-291","DOIUrl":"https://doi.org/10.17706/jsw.17.6.282-291","url":null,"abstract":"Web development is a huge part of the current world, affecting all parts of the world and human interaction. Learning about frameworks used in web development allows for increased development efficiency and increased website performance and functionality, based on knowing what technologies to apply when and where. This paper will examine various web framework technologies, specifically in the realm of CSS and JavaScript, and various frameworks that make use of them such as AJAX, Node JS, Bootstrap, and AngularJS, among others. This paper will provide analysis and explanation of these technologies’ designs, useful features, and potential shortcomings, and recommend which technology to use depending on various situations and web development environments.","PeriodicalId":11452,"journal":{"name":"e Informatica Softw. Eng. J.","volume":"23 1","pages":"282-291"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77264279","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}
{"title":"AIADA: Accuracy Impact Assessment of Deprecated Python API Usages on Deep Learning Models","authors":"Haochen Zou","doi":"10.17706/jsw.17.6.269-281","DOIUrl":"https://doi.org/10.17706/jsw.17.6.269-281","url":null,"abstract":"TensorFlow is an end-to-end open-source machine learning platform including various tools, libraries, and community resources. It supports users to use many mainstream programming languages including Python. TensorFlow contains multiple abstraction layers, with APIs play significant roles in every layers. In the version iteration of TensorFlow platform development, with the release of new TensorFlow versions, because of functionality evolution, or security and performance-related changes, some APIs eventually become unnecessary. These issues cause APIs to deprecate and influence the accuracy of deep learning models results. Prior studies have investigated API evolution and its potential impact on projects. However, their studies mainly focus on API evolution instead of API deprecation, and they do not find out how the evolution affects results of deep learning models in TensorFlow. Therefore, we present a research-based prototype tool called AIADA and apply it to different revisions of the TensorFlow platform projects code for characterizing deprecated APIs. Based on the data mined by AIADA, we develop a quantitative assessment of deprecated Python APIs usages on deep learning models accuracy. We first count the amount of TensorFlow Python APIs that are deprecated, finding out that with the development of TensorFlow version, the number of deprecated APIs increases constantly. Second, we discuss the reason behind TensorFlow Python APIs become deprecated, discover that name change, weed out, and compatibility issue lead to the main cause of deprecation. Finally, we construct a deep learning project as the comparative experiment. After comparing the results between deep learning model with TensorFlow deprecated APIs and without deprecated APIs, we conclude that using deprecated APIs will cause a 10% loss on efficiency and accuracy of deep learning model.","PeriodicalId":11452,"journal":{"name":"e Informatica Softw. Eng. J.","volume":"55 1","pages":"269-281"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83093049","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}
{"title":"An Automatic System to Enhance Videos for a Learning Experience, Using an Interlinking Technique","authors":"O. B. Said, A. Wali, A. Alimi","doi":"10.17706/jsw.17.5.192-206","DOIUrl":"https://doi.org/10.17706/jsw.17.5.192-206","url":null,"abstract":"Basing on the emergent evolution of web technologies and the increasing number of video consumerson the one hand, and the immense role of this multimedia data in the information diffusion in the other hand, we have thought of designing a new system which makes connection between videosand Knowledge base connected to the semantic web technologies, inorder to enhance videos.We aim by this work to enhance information received by the video's viewer with extra-data. The added data must be related to the video topics and explains more the content of the video. In this paper, we present the proposed system with the different components and used techniques.","PeriodicalId":11452,"journal":{"name":"e Informatica Softw. Eng. J.","volume":"80 1","pages":"192-206"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88980860","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}
Dong-Xu Liu, Feng Qin, Wan-Sheng Wang, Xiu-Ru Li, Lu Zhang, Lin Jiang, Ying-Ming Wang, Dandan Zuo, Y. Zheng
{"title":"Design and Implementation of Logistics Model 2019-NCOV Epidemic Development Simulation System in the Context of Big Data","authors":"Dong-Xu Liu, Feng Qin, Wan-Sheng Wang, Xiu-Ru Li, Lu Zhang, Lin Jiang, Ying-Ming Wang, Dandan Zuo, Y. Zheng","doi":"10.17706/jsw.17.5.182-191","DOIUrl":"https://doi.org/10.17706/jsw.17.5.182-191","url":null,"abstract":"The outbreak of COVID-19 in December 2019 sent tens of thousands of people into panic; For sudden outbreak, due to the variability and immune virus, in view of the research and development will be to contain virus vaccine, so the country should not only possess strong vaccine research and development team and scientific research ability, and more need a kind of epidemic development simulation platform, the simulationof the real effective epidemic trends, provide high quality data for prevention and research department reference value; In this paper, the minimum deviation is sought through Logistics prediction model to improve the reliability and authenticity of epidemic simulation and prediction data. Real-time communication is completed by combining big data technology Spark training model and Kafka, and the simple and intuitive H5 realistic visual interface is adopted.","PeriodicalId":11452,"journal":{"name":"e Informatica Softw. Eng. J.","volume":"22 1","pages":"182-191"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87326088","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}
{"title":"Individual and Interpersonal Factors That Influence Dis-closure of Personal Identifiable Information on Social Net-Working Sites","authors":"A. AlTurki, Shatha Alkhaldi, A. Algarni","doi":"10.17706/jsw.17.5.168-181","DOIUrl":"https://doi.org/10.17706/jsw.17.5.168-181","url":null,"abstract":"This study aims to examine the influence of individual factors such as self-esteem and public con-sciousness and interpersonal factors such as the need for self-validation, social skills, and willingness to trust others on ‘personal identifiable information’ (PII) disclosure. The study used a quantitative research method. The study enrolled 375 male and female participants from Saudi Arabia. A closed-ended questionnaire was used to collect the data and analyzed using SPSS version 23. The study results predict that the following fac-tors: self-validation, public self-consciousness, willingness to trust others, and social skills influence PII dis-closure levels on social networking sites (SNS). This study identifies the most critical determinants and per-sonal or individual factors that affect the degree of PII disclosure on SNSs.","PeriodicalId":11452,"journal":{"name":"e Informatica Softw. Eng. J.","volume":"108 1","pages":"168-181"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76273035","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}
{"title":"Detecting and Confining Software Errors: An Evaluation of Three Executable Assertions Based Solutions","authors":"Sébastien Perron, M. Badri, L. Badri","doi":"10.17706/jsw.17.4.137-148","DOIUrl":"https://doi.org/10.17706/jsw.17.4.137-148","url":null,"abstract":"The complexity of current software and the various dependencies between their components can affect their reliability, in particular their ability to tolerate faults. In object-oriented software, the interactions derived from such dependencies can lead to the propagation of errors. This problem can be resolved by implementing error detection and error containment mechanisms. Such techniques are used to tolerate faults. In this paper, we present three solutions where a component is reinforced in order to detect errors and limit their propagation to dependent components.","PeriodicalId":11452,"journal":{"name":"e Informatica Softw. Eng. J.","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73219396","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}
{"title":"A Novel Method Considering Guesses and Slips for Item Ordering: Noise-Filter Ordering Theory and Item Relational Structure Theory","authors":"Li-Wen-Yuan Zhou, Sheng-Hong Dong, Xing-Gao Li","doi":"10.17706/jsw.17.4.149-157","DOIUrl":"https://doi.org/10.17706/jsw.17.4.149-157","url":null,"abstract":"art's ordering theory algorithm and Takeya's item relational structure algorithm are the two classical ordering algorithms, but both of them have a common problem, that is, the item ordering results depend on the setting of threshold. The reason for this problem is that the ordering index fluctuates greatly due to guessing and slipping noise. This paper presents an improved algorithm, which can effectively filter out the noise of guessing and slipping. It is more effective than the two traditional methods. This paper also develops a computer program and carries out simulation experiments to prove the advantages of this method.","PeriodicalId":11452,"journal":{"name":"e Informatica Softw. Eng. J.","volume":"1 1","pages":"149-157"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90241203","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}