Development and Analysis of Android/iOS based Developers’ Platform Using Artificial intelligence and Machine Learning

Suryansh Singh, Radhey Shyam, Shilpi Khanna
{"title":"Development and Analysis of Android/iOS based Developers’ Platform Using Artificial intelligence and Machine Learning","authors":"Suryansh Singh, Radhey Shyam, Shilpi Khanna","doi":"10.46610/joaat.2022.v07i01.003","DOIUrl":null,"url":null,"abstract":"Developers’ platform aims to solve the most crucial and most common problem of almost all software developers in the field of Information Technology. Many researchers have worked on comparable applications and have identified some key issues and solutions. Some of them worked on analyzing the emotions of questions posted on various platforms, such as Stack Overflow. Software developers frequently ask questions on the Stack Overflow site and the uploaded questions sometimes may not always follow the conventional rules. We have used various technologies to build this platform like React Native, NodeJS, Tensorflow and MongoDB. The AI empowered developers’ platform will literally help all the software engineers to definitely achieve accuracy and consistency in work, it will essentially help specifically maintain a healthy developers’ com- munity where even a newbie can definitely start and actually grow by learning various software related work, which generally is quite significant. To encourage software engineers to come to this platform there are various reward points and also if a company wants to hire engineers based on their skill set, they can get the list of top users on this platform (category wise) who are actively contributing to this community and solving complex problems day-to-day, this makes work easy for both the company and the users who are signed up.","PeriodicalId":373691,"journal":{"name":"Journal of Android and IOS Applications and Testing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Android and IOS Applications and Testing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46610/joaat.2022.v07i01.003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Developers’ platform aims to solve the most crucial and most common problem of almost all software developers in the field of Information Technology. Many researchers have worked on comparable applications and have identified some key issues and solutions. Some of them worked on analyzing the emotions of questions posted on various platforms, such as Stack Overflow. Software developers frequently ask questions on the Stack Overflow site and the uploaded questions sometimes may not always follow the conventional rules. We have used various technologies to build this platform like React Native, NodeJS, Tensorflow and MongoDB. The AI empowered developers’ platform will literally help all the software engineers to definitely achieve accuracy and consistency in work, it will essentially help specifically maintain a healthy developers’ com- munity where even a newbie can definitely start and actually grow by learning various software related work, which generally is quite significant. To encourage software engineers to come to this platform there are various reward points and also if a company wants to hire engineers based on their skill set, they can get the list of top users on this platform (category wise) who are actively contributing to this community and solving complex problems day-to-day, this makes work easy for both the company and the users who are signed up.
基于人工智能和机器学习的Android/iOS开发者平台开发与分析
开发者平台旨在解决信息技术领域中几乎所有软件开发者最关键、最常见的问题。许多研究人员已经研究了类似的应用程序,并确定了一些关键问题和解决方案。他们中的一些人致力于分析各种平台上发布的问题的情绪,比如Stack Overflow。软件开发人员经常在Stack Overflow网站上提问,而上传的问题有时可能并不总是遵循常规规则。我们使用了各种技术来构建这个平台,如React Native, NodeJS, Tensorflow和MongoDB。人工智能支持的开发者平台将帮助所有的软件工程师在工作中实现准确性和一致性,它将从本质上帮助维护一个健康的开发者社区,即使是新手也可以通过学习各种软件相关的工作来开始和成长,这通常是非常重要的。为了鼓励软件工程师来到这个平台,有各种各样的奖励点,如果一家公司想要根据他们的技能聘请工程师,他们可以获得这个平台上的顶级用户列表(按类别分类),这些用户积极为这个社区做出贡献,每天解决复杂的问题,这对公司和注册用户来说都很容易。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信