使用上下文无关语法生成嵌套SQL查询的叙述

George Obaido, Abejide Ade-Ibijola, Hima Vadapalli
{"title":"使用上下文无关语法生成嵌套SQL查询的叙述","authors":"George Obaido, Abejide Ade-Ibijola, Hima Vadapalli","doi":"10.1109/ICTAS.2019.8703620","DOIUrl":null,"url":null,"abstract":"In the software industry, Structured Query Language (SQL) remains a highly sought-after skill required by most employers. SQL is widely adopted as the preferred declarative language to manipulate data in relational databases. However, the process of comprehending written and new queries turns out to be difficult, especially for novices. To address this problem, a plethora of tools have been developed to assist a novice understand queries using different approaches via visualisation and narration. This paper describes a SQL Narrator designed using a Context-free Grammar that reads and generates narrations for queries using predefined templates. The SQL Narrator is able to narrate nested queries cascaded with balanced parentheses. The generated narrations can be used in assisting students to comprehend nested SQL queries in learning environments. A survey conducted on 161 participants showed that 98.1% agreed that they were able to understand nested queries using our SQL Narrator.","PeriodicalId":386209,"journal":{"name":"2019 Conference on Information Communications Technology and Society (ICTAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Generating Narrations of Nested SQL Queries Using Context-free Grammars\",\"authors\":\"George Obaido, Abejide Ade-Ibijola, Hima Vadapalli\",\"doi\":\"10.1109/ICTAS.2019.8703620\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the software industry, Structured Query Language (SQL) remains a highly sought-after skill required by most employers. SQL is widely adopted as the preferred declarative language to manipulate data in relational databases. However, the process of comprehending written and new queries turns out to be difficult, especially for novices. To address this problem, a plethora of tools have been developed to assist a novice understand queries using different approaches via visualisation and narration. This paper describes a SQL Narrator designed using a Context-free Grammar that reads and generates narrations for queries using predefined templates. The SQL Narrator is able to narrate nested queries cascaded with balanced parentheses. The generated narrations can be used in assisting students to comprehend nested SQL queries in learning environments. A survey conducted on 161 participants showed that 98.1% agreed that they were able to understand nested queries using our SQL Narrator.\",\"PeriodicalId\":386209,\"journal\":{\"name\":\"2019 Conference on Information Communications Technology and Society (ICTAS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Conference on Information Communications Technology and Society (ICTAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTAS.2019.8703620\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Conference on Information Communications Technology and Society (ICTAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTAS.2019.8703620","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

在软件行业,结构化查询语言(SQL)仍然是大多数雇主所要求的一项非常抢手的技能。SQL被广泛采用为在关系数据库中操作数据的首选声明性语言。然而,理解书面查询和新查询的过程是困难的,特别是对新手来说。为了解决这个问题,已经开发了大量的工具来帮助新手通过可视化和叙述来使用不同的方法来理解查询。本文描述了一个使用上下文无关语法设计的SQL叙述者,它使用预定义模板读取和生成查询的叙述。SQL叙述者能够叙述用平衡括号级联的嵌套查询。生成的叙述可用于帮助学生理解学习环境中的嵌套SQL查询。对161名参与者进行的一项调查显示,98.1%的人同意他们能够使用我们的SQL叙述者理解嵌套查询。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Generating Narrations of Nested SQL Queries Using Context-free Grammars
In the software industry, Structured Query Language (SQL) remains a highly sought-after skill required by most employers. SQL is widely adopted as the preferred declarative language to manipulate data in relational databases. However, the process of comprehending written and new queries turns out to be difficult, especially for novices. To address this problem, a plethora of tools have been developed to assist a novice understand queries using different approaches via visualisation and narration. This paper describes a SQL Narrator designed using a Context-free Grammar that reads and generates narrations for queries using predefined templates. The SQL Narrator is able to narrate nested queries cascaded with balanced parentheses. The generated narrations can be used in assisting students to comprehend nested SQL queries in learning environments. A survey conducted on 161 participants showed that 98.1% agreed that they were able to understand nested queries using our SQL Narrator.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Review of Local, Holistic and Deep Learning Approaches in Facial Expressions Recognition Facial Expression Recognition: A Review of Methods, Performances and Limitations Analysis of the Narrow Band Internet of Things (NB-IoT) Technology A Twitter knowledge sharing model based on small businesses in the Western Cape An SDN Solution for Performance Improvement in Dedicated Wide-Area Networks
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1