Treffer: Automatic SQL query generation

Title:
Automatic SQL query generation
Contributors:
Gudivada, Venkat N, Computer Science
Publisher Information:
East Carolina University
Publication Year:
2017
Collection:
East Carolina University: The ScholarShip at ECU
Document Type:
Dissertation master thesis
File Description:
application/pdf
Language:
English
Accession Number:
edsbas.87EF884C
Database:
BASE

Weitere Informationen

Automatic generation of questions for learning assessment has been an area of research interest for long. The advent of Massive Open Online Courses (MOOCs) as well as the goal of providing immediate contextualized feedback to enhance student learning has created renewed interest in automatic question generation. This thesis motivates the automatic question generation problem, gives an overview of the current approaches, and describes the proposed novel approach to automatic generation of SQL queries using the notion of grammar graph.