Flow2Code: From Hand-drawn Flowcharts to Code Execution
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
Association for Computing Machinery, Inc (ACM)
Abstract
Flowcharts play an important role when learning to program by conveying algorithms graphically and making them easy to read and understand. Computer-based owchart design requires the user to learn the so ware rst, which o en results in a steep learning curve. Paper-drawn owcharts don't provide feedback. We propose a system that allows users to draw their owcharts directly on paper combined with a mobile phone app that takes a photo of the owchart, interprets it, and generates and executes the resulting code. Flow2Code uses o -line sketch recognition and computer vision algorithms to recognize owcharts drawn on paper. To gain practice and feedback with owcharts, the user needs only a pencil, white paper, and a mobile device. e paper describes a tested system and algorithmic model for recognizing and interpreting o ine owcharts as well as a novel geometric feature, Axis Aligned Score (AAS), that enables fast accurate recognition of various quadrilaterals.
Description
@inproceedings{10.1145:3092907.3092911,
booktitle = {Sketch-Based Interfaces and Modeling},
editor = {Holger Winnemoeller and Lyn Bartram},
title = {{Flow2Code: From Hand-drawn Flowcharts to Code Execution}},
author = {Herrera-Camara, Jorge-Ivan and Hammond, Tracy},
year = {2017},
publisher = {Association for Computing Machinery, Inc (ACM)},
ISSN = {1812-3503},
ISBN = {978-1-4503-5080-8},
DOI = {10.1145/3092907.3092911}
}