HTML Document Error Detector and Visualiser for Novice Programmers

Autor: Caslon Chua, Steven Schmoll, Mohammad Ammar Siddiqui, Boppaiah Koothanda Subbaiah, Anith Vishwanath
Rok vydání: 2018
Předmět:
Zdroj: VL/HCC
DOI: 10.1109/vlhcc.2018.8506569
Popis: Learning HTML poses similar challenges as learning conventional programming language by novice programmer. Apart from the HTML validator, there are limited tools to help novice programmer address errors in their HTML code. In this study, we employ visualisation techniques to display the structural and contextual information of the HTML code. We look at condensing and visually representing the important aspects of the HTML code. This is to enable novice programmers gain insights on the HTML code structure and locate any underlying syntax and semantic errors.
Databáze: OpenAIRE