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001 on1381680596;

003 OCoLC;

005 20260527034645.0;

006 m o d ;

007 cr unu||||||||;

008 230609s2023 ncua obm 000 0 eng d;

035 a| (OCoLC)1381680596;

090 a| QA76.7;

049 a| EREE;

100 1 a| Bullard, Connor D.,e| author.?| UNAUTHORIZED;

245 10 a| QPE :b| a system for deconstructing SQL queries /c| by Connor D. Bullard.;

246 3 a| QPE a system for deconstructing SQL queries.;

264 1 a| [Greenville, N.C.] :b| [East Carolina University],c| 2023.;

300 a| 1 online resource (50 pages) :b| illustrations (chiefly color);

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

347 a| text fileb| PDFc| 338.6 KB2| rda;

538 a| System requirements: Adobe Reader.;

538 a| Mode of access: World Wide Web.;

502 b| M.S.c| East Carolina Universityd| 2023.;

500 a| Presented to the Faculty of the Department of Computer Science;

500 a| Advisor: Venkat Gudivada;

500 a| Title from PDF t.p. (viewed June 20, 2024).;

520 3 a| Research on the topic of converting natural language to machine-readable code has experienced great interest over the last decade, however studies into converting machine-readable code into natural language are sparse. The applications of translating spoken or written languages into code are well-established, such as allowing a more novice or non-technical user to interact with a program or database with ease. The benefits of such applications are readily observable and are likely to grow as software systems continue to increase in complexity and capability. Likewise, parsing code to natural language produces certain benefits from which the potential gain in utility and knowledge has yet to be fully realized. This thesis identifies opportunities for deploying solutions that provide a natural language explanation of programming languages, specifically with Structured Query Language (SQL) and database interfacing. A novel solution is proposed in the form of an application named Query Purpose Extractor (QPE), which utilizes existing open-source libraries to aid in the process of translating SQL statements into English sentences.;

504 a| Includes bibliographical references.;

650 0 a| Query languages (Computer science)=| ^A850130;

650 0 a| Computer files.=| ^A199474;

653 a| Abstract Syntax Tree;

653 a| Parse Tree;

653 a| Code Translation;

700 1 a| Gudivada, Venkat N.,e| degree supervisor.1| https://id.oclc.org/worldcat/entity/E39PCjHMQkBQwf9dkbThGCKcRq=| ^A1308613;

710 2 a| East Carolina University.b| Department of Computer Science.?| UNAUTHORIZED;

856 40 z| Access via ScholarShipu| http://hdl.handle.net/10342/12823;

994 a| C0b| ERE;

596 a| 1 4;

998 a| 6143705;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6143705-1001l| JNETm| JOYNERr| Ys| Yt| JNE3ETDu| 6/9/2023x| ETDz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6143705-2001l| HSLELECm| HSLr| Ys| Yt| HEETDu| 6/9/2023x| ETDz| HERESOURCE;

QPE : a system for deconstructing SQL queries / by Connor D. Bullard.

Author/creator	Bullard, Connor D. author.
Other author	Gudivada, Venkat N., degree supervisor.
Other author	East Carolina University. Department of Computer Science.
Format	Theses and dissertations
Publication	[Greenville, N.C.] : [East Carolina University], 2023.
Description	1 online resource (50 pages) : illustrations (chiefly color)
Supplemental Content	Access via ScholarShip
Subjects	Query languages (Computer science) Computer files.

Variant title	QPE a system for deconstructing SQL queries.
Summary	Research on the topic of converting natural language to machine-readable code has experienced great interest over the last decade, however studies into converting machine-readable code into natural language are sparse. The applications of translating spoken or written languages into code are well-established, such as allowing a more novice or non-technical user to interact with a program or database with ease. The benefits of such applications are readily observable and are likely to grow as software systems continue to increase in complexity and capability. Likewise, parsing code to natural language produces certain benefits from which the potential gain in utility and knowledge has yet to be fully realized. This thesis identifies opportunities for deploying solutions that provide a natural language explanation of programming languages, specifically with Structured Query Language (SQL) and database interfacing. A novel solution is proposed in the form of an application named Query Purpose Extractor (QPE), which utilizes existing open-source libraries to aid in the process of translating SQL statements into English sentences.
General note	Presented to the Faculty of the Department of Computer Science
General note	Advisor: Venkat Gudivada
General note	Title from PDF t.p. (viewed June 20, 2024).
Dissertation note	M.S. East Carolina University 2023.
Bibliography note	Includes bibliographical references.
Technical details	System requirements: Adobe Reader.
Technical details	Mode of access: World Wide Web.

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QPE : a system for deconstructing SQL queries / by Connor D. Bullard.

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