{"title":"Programming Language Translator For Integration Client Application With Web APIs","authors":"Mudiarta Tauda, Z. Zainuddin, Z. Tahir","doi":"10.1109/AIMS52415.2021.9466033","DOIUrl":null,"url":null,"abstract":"The integration of client applications and server is an inseparable part of the process of creating a system. For these two types of applications to communicate well, developers often use the architectural model of Representational State Transfer (REST) or commonly known as the RESTful API. In practice, client application developers have difficulty in integrating their applications with applications running on the server-side, because it requires parameter consistency in every request and response. To minimize errors that can occur, we designed a programming language translator system using the architecture of Long Short-Term Memory (LSTM). The proposed system can translate applications running on the server-side (backend) written using the typescript programming language with the Nest JS framework into an Android-based client application using the Kotlin language with Retrofit modules. The results of this study indicate 93.33% accuracy.","PeriodicalId":299121,"journal":{"name":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIMS52415.2021.9466033","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
The integration of client applications and server is an inseparable part of the process of creating a system. For these two types of applications to communicate well, developers often use the architectural model of Representational State Transfer (REST) or commonly known as the RESTful API. In practice, client application developers have difficulty in integrating their applications with applications running on the server-side, because it requires parameter consistency in every request and response. To minimize errors that can occur, we designed a programming language translator system using the architecture of Long Short-Term Memory (LSTM). The proposed system can translate applications running on the server-side (backend) written using the typescript programming language with the Nest JS framework into an Android-based client application using the Kotlin language with Retrofit modules. The results of this study indicate 93.33% accuracy.