On the Energy Footprint of Mobile Testing Frameworks

• Tipo: Artigo em Revista Científica Internacional
• Data: 2021

Autores

Cruz, L (Autor) Outra; Rui Abreu (Autor) FEUP

Revista

Título: IEEE Transactions on Software Engineering

Vol. 47

Páginas: 2260-2271

ISSN: 0098-5589

Editora: IEEE

Indexação

ISI Web of Knowledge - 1 Citação

Scopus

Outras Informações

ID Authenticus: P-00S-7HG

DOI: 10.1109/tse.2019.2946163

Abstract (EN): High energy consumption is a challenging issue that an ever increasing number of mobile applications face today. However, energy consumption is being tested in an ad hoc way, despite being an important non-functional requirement of an application. Such limitation becomes particularly disconcerting during software testing: on the one hand, developers do not really know how to measure energy; on the other hand, there is no knowledge as to what is the energy overhead imposed by the testing framework. In this paper, as we evaluate eight popular mobile UI automation frameworks, we have discovered that there are automation frameworks that increase energy consumption up to roughly 2200 percent. While limited in the interactions one can do, Espresso is the most energy efficient framework. However, depending on the needs of the tester, Appium, Monkeyrunner, or UIAutomator are good alternatives. In practice, results show that deciding which is the most suitable framework is vital. We provide a decision tree to help developers make an educated decision on which framework suits best their testing needs.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12