Automatic SQL Query Generation
This item will be available on: 2018-02-01
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.
Arbabifard, Kamyar. (July 2017). Automatic SQL Query Generation (Master's Thesis, East Carolina University). Retrieved from the Scholarship. (http://hdl.handle.net/10342/6401.)
Arbabifard, Kamyar. Automatic SQL Query Generation. Master's Thesis. East Carolina University, July 2017. The Scholarship. http://hdl.handle.net/10342/6401. September 19, 2017.
Arbabifard, Kamyar, “Automatic SQL Query Generation” (Master's Thesis., East Carolina University, July 2017).
Arbabifard, Kamyar. Automatic SQL Query Generation [Master's Thesis]. Greenville, NC: East Carolina University; July 2017.
East Carolina University