Investigating the Correlation between Performance Scores and Energy Consumption of Mobile Web Apps
| Autor: | Olivier Philippot, Sanjay Sheombar, Christian Valladares, Eoin Martino Grua, Ivano Malavolta, Kwame Chan-Jong-Chu, Miguel Morales Exposito, Tanjina Islam |
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| Přispěvatelé: | Software and Sustainability (S2), Network Institute, Computational Intelligence, Software & Services |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Requirements engineering
Database business.industry Computer science Best practice requirements elicitation Mobile app development Mobile Web Energy consumption Requirements elicitation computer.software_genre Software Web application requirements engineering SDG 7 - Affordable and Clean Energy Android (operating system) business computer |
| Zdroj: | EASE '20: Proceedings of the Evaluation and Assessment in Software Engineering, 190-199 STARTPAGE=190;ENDPAGE=199;TITLE=EASE '20 Chan-Jong-Chu, K, Islam, T, Exposito, M M, Sheombar, S, Valladares, C, Philippot, O, Grua, E M & Malavolta, I 2020, Investigating the Correlation between Performance Scores and Energy Consumption of Mobile Web Apps . in EASE '20 : Proceedings of the Evaluation and Assessment in Software Engineering . ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 190-199, 24th Evaluation and Assessment in Software Engineering Conference, EASE 2020, Trondheim, Online, Norway, 15/04/20 . https://doi.org/10.1145/3383219.3383239 EASE |
| DOI: | 10.1145/3383219.3383239 |
| Popis: | Context. Developers have access to tools like Google Lighthouse to assess the performance of web apps and to guide the adoption of development best practices. However, when it comes to energy consumption of mobile web apps, these tools seem to be lacking. Goal. This study investigates on the correlation between the performance scores produced by Lighthouse and the energy consumption of mobile web apps. Method. We design and conduct an empirical experiment where 21 real mobile web apps are (i) analyzed via the Lighthouse performance analysis tool and (ii) measured on an Android device running a software-based energy profiler. Then, we statistically assess how energy consumption correlates with the obtained performance scores and carry out an effect size estimation. Results. We discover a statistically significant negative correlation between performance scores and the energy consumption of mobile web apps (with medium to large effect sizes), implying that an increase of the performance score tend to lead to a decrease of energy consumption. Conclusions. We recommend developers to strive to improve the performance level of their mobile web apps, as this can also have a positive impact on their energy consumption on Android devices. |
| Databáze: | OpenAIRE |
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