
In this scientific research, we will pilot investigate which programming tools and languages are most often used to create web applications. The results of this survey that are collected from respondents (experienced web developers) will be related to the following: programming tools, languages, and which modern technologies are most important for professional and scientific web developers. This research will provide the first information on whether respondents know that WAMP stands for Windows, Apache, MySQL, and PHP, then whether respondents know that AMPPS is packaged with MongoDB, Perl, Python, and RockMongo to meet broader technology needs and preferences, and which solutions web developers prefer. Through the research, some will get information about web technologies which are the most used or preferred according to respondents in the CMS systems created, which modern development environments for creating web applications are preferred by web developers, and did the respondents know that React.js is the most used JavaScript library today, with which made many big apps like Facebook, Instagram, Netflix, and Dropbox. The main research methodologies used here are the method of scientific and professional text analysis, the survey method, the chi-square test, and the comparative method. This research will be used for the next, larger, and similar research.
Development programming tools and programming languages, web programming knowledge., web developers
Development programming tools and programming languages, web programming knowledge., web developers
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
