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A Systematic Literature Review on Automatic Website Generation by Thisaranie Kaluarachchi; Manjusri Wickramasinghe is a Computer Science article available to read on EtoBox.

What is A Systematic Literature Review on Automatic Website Generation about?

Since machine learning became a prominent feature in the modern-day computing landscape, the urge to automate processes has increased. One such process of particular interest has been the automatic generation of websites based on user intention. Though the requirement of such automatic generation is a modern-day need, the quality of the automatic generation still provides a unique set of challenges. As such, to analyze these unique challenges and viable opportunities in automatic website generation, this survey systematically reviews research on the topics of automatic website generation. The analysis initially segments state-of-the-art into three categories based on the dominant strategy used for automatic generation. These strategies are examples-based, mock-up-driven, and artificial intelligence-driven automatic website generation. When considering the example-based strategy, the emphasis is on analyzing how manual design aspects of a professionally developed website are incorporated into generation models and the challenges that arise. Similarly, transformation methods from website visual design into functional GUI code are investigated for the mock-up-driven strategy with a pa

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Author

Thisaranie Kaluarachchi; Manjusri Wickramasinghe

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Computer Science (Physical Sciences)