A Taxonomy of Testable HTML5 Canvas Issues

Autor: Macklon, Finlay, Viggiato, Markos, Romanova, Natalia, Buzon, Chris, Paas, Dale, Bezemer, Cor-Paul
Rok vydání: 2022
Předmět:
Druh dokumentu: Working Paper
DOI: 10.1109/TSE.2023.3270740
Popis: The HTML5 is widely used to display high quality graphics in web applications. However, the combination of web, GUI, and visual techniques that are required to build applications, together with the lack of testing and debugging tools, makes developing such applications very challenging. To help direct future research on testing applications, in this paper we present a taxonomy of testable issues. First, we extracted 2,403 -related issue reports from 123 open-source GitHub projects that use the HTML5 . Second, we constructed our taxonomy by manually classifying a random sample of 332 issue reports. Our manual classification identified five broad categories of testable issues, such as Visual and Performance issues. We found that Visual issues are the most frequent (35%), while Performance issues are relatively infrequent (5%). We also found that many testable issues that present themselves visually on the are actually caused by other components of the web application. Our taxonomy of testable issues can be used to steer future research into issues and testing.
Comment: 13 pages, 4 figures, 6 tables; Errata: Tables 4g,4h,4i displayed same values as 4a instead of the correct ones
Databáze: arXiv
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