首页|New Machine Learning Study Findings Reported from University of Colombo (webdraw: a Machine Learning-driven Tool for Automatic Website Prototyping)
New Machine Learning Study Findings Reported from University of Colombo (webdraw: a Machine Learning-driven Tool for Automatic Website Prototyping)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Elsevier
Investigators discuss new findings in Machine Learning. According to news reporting from Colombo, Sri Lanka, by NewsRx journalists, research stated, "To overcome the time-consuming nature and improve the cost-effectiveness of classical web development, being automatic is the most convenient alternative recent researchers suggest. Over the years, researchers have been working on inventing new approaches to generating websites automatically." The news correspondents obtained a quote from the research from the University of Colombo, "In this paper, a novel approach is presented that automates the website generation process by incorporating web designer best practices and driving new prototype websites without the significant effort of redesigning websites. It takes high-fidelity mock-up design artifacts such as screen captures of real-world websites, and generates functional websites similar to the input websites, which involves three steps: GUI element detection, classification, and code generation. First, image processing techniques are applied to detect atomic web GUI elements from a mock-up design artifact of a real-world website. Second, a Convolutional Neural Network (CNN) is trained to classify the extracted web GUI elements into their domain-specific types such as headings, paragraphs, images, etc. A Graphical User Interface (GUI) is typically represented in code as a hierarchical tree, with nested GUI elements bundled together within one another to construct a tree. A recursive algorithm is proposed that constructs the appropriate Document Object Model (DOM) hierarchy for a website by recursively grouping classified web GUI elements within each other. Finally, the constructed DOM is converted to the accurate native code. The approach was implemented as a tool called WebDraw. Design science research evaluation shows that WebDraw achieves an average of 90% web GUI element classification and generates website prototypes that are visually similar to the target website design mock-up artifact while producing functional GUI code."
ColomboSri LankaAsiaCyborgsEmerging TechnologiesMachine LearningUniversity of Colombo
NETL
NSTL
Elsevier
