A Matching Algorithm to Assess Web Interfaces

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2022

Autores

José Paulo Leal (Autor) FCUP; Primo, M (Autor) Outra

Ata de Conferência Internacional

Título: Communications in Computer and Information Science

Páginas: 115-126

2nd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2022

12 September 2022 through 15 September 2022

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00X-J07

DOI: 10.1007/978-3-031-20319-0_9

Abstract (EN): The work presented in this article is part of ongoing research on the automated assessment of simple web applications. The proposed algorithm compares two interfaces by mapping their elements, using properties to identify those with the same role in both interfaces. The algorithm proceeds in three stages: firstly, it selects the relevant elements from both interfaces; secondly, it refines elements' attributes, excluding some and computing new ones; finally, it matches elements based on attribute similitude. The article includes an experiment to validate the algorithm as an assessment tool. As part of this experiment, a set of experts classified multiple web interfaces. Statistical analysis found a significant correlation between classifications made by the algorithm and those made by experts. The article also discusses the exploitation of the algorithm's output to access both the layout and functionality of a web interface and produce feedback messages in an automated assessment environment, which is planned as future research.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12