对基于web的应用程序系统的挑战进行优先级排序的严格方法

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Malaysian Journal of Computer Science Pub Date : 2021-04-30 DOI:10.22452/mjcs.vol34no2.1

M. Qadir, S. Farid, Mohd Hairul Nizam Bin Md Nasir, A. Akbar

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引用次数: 2

摘要

网络创新是软件工程的独特进步。它们配备了新的设备、新颖的系统和革命性的计划，随时可供网络应用程序开发人员及其用户使用。根据它们对改进web应用程序的重要性，需要找到一种合适的方法来适应这些挑战。因此，本研究的核心目标是对基于web的应用程序的开发人员和用户遇到的挑战进行排名。这项研究通过提出一个层次框架来适当地识别和分类挑战，从而为知识做出贡献。根据广泛的文献综述，制定了一份69项挑战的详尽清单。从定量的角度来看，本研究使用调查问卷收集了87位网络创新领域专家的数据。采用各种统计模型，如Cronbach’s Alpha、主成分分析、逐步回归和物流回归来分析数据。逐步回归用于制定提取的挑战的层次结构。拟议框架的成果将有助于更有效地开发和利用网络应用程序。还讨论了本研究的局限性和未来的发展方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A RIGOROUS APPROACH TO PRIORITIZING CHALLENGES OF WEB-BASED APPLICATION SYSTEMS

Web innovations are unique advancements of software engineering. They are equipped with new apparatuses, novel systems, and revolutionary plans, ready to be used by web application developers and their users. According to their importance for web application improvement, there is a need to locate a fitting approach to adapt to these challenges. Therefore, the core objective of this study is to rank the challenges that were encountered by the developers and users of web-based applications. This study contributes to knowledge by proposing a hierarchical framework for identifying and categorizing the challenges appropriately. An exhaustive list of sixty-nine challenges was formulated, based on extensive literature review. Quantitative in nature, this study uses the survey questionnaire to collect data from 87 experts in the web innovation domain. Various statistical models like the Cronbach’s Alpha, Principal Component Analysis, Stepwise, and Logistics Regression were employed to analyze the data. The stepwise regression was deployed to formulate the hierarchy of the extracted challenges. The outcome of the proposed framework would lead to a more efficient development and utilization of web applications. The limitations and future directions of this study were also discussed.

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来源期刊

Malaysian Journal of Computer Science COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS

CiteScore

2.20

自引率

33.30%

发文量

审稿时长

7.5 months

期刊介绍： The Malaysian Journal of Computer Science (ISSN 0127-9084) is published four times a year in January, April, July and October by the Faculty of Computer Science and Information Technology, University of Malaya, since 1985. Over the years, the journal has gained popularity and the number of paper submissions has increased steadily. The rigorous reviews from the referees have helped in ensuring that the high standard of the journal is maintained. The objectives are to promote exchange of information and knowledge in research work, new inventions/developments of Computer Science and on the use of Information Technology towards the structuring of an information-rich society and to assist the academic staff from local and foreign universities, business and industrial sectors, government departments and academic institutions on publishing research results and studies in Computer Science and Information Technology through a scholarly publication. The journal is being indexed and abstracted by Clarivate Analytics'' Web of Science and Elsevier''s Scopus