abstract

Improving app quality despite flawed mobile analytics

Author:

Julian HartyAuthors Info & Claims

MOBILESoft '20: Proceedings of the IEEE/ACM 7th International Conference on Mobile Software Engineering and Systems

Pages 21 - 22

https://doi.org/10.1145/3387905.3388603

Published: 07 October 2020 Publication History

Abstract

Analytics can help improve the quality of software; the improvements are affected by the fidelity of the analytics. The impact of poor fidelity may vary depending on the type of data being collected, for example, for crashes low fidelity may be sufficient.

The mobile ecosystem includes a platform where apps run and an app store that intermediates between developers and users. Google's Android ecosystem provides all the developers with analytics about various qualities of their app through a service called Android Vitals that automatically collects data on how their app is performing.

My research found ways to improve app quality through using mobile analytics, including Android Vitals. It also found fidelity flaws in several analytics tools provided by Google. They confirmed and validated some flaws and chose not to discuss others.

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Cited By

Harty JBandara A(2024)Taming App Reliability: Mobile Analytics “in the wild”Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering10.1145/3661167.3661169(450-453)Online publication date: 18-Jun-2024
https://dl.acm.org/doi/10.1145/3661167.3661169
Harty JZhang HWei LPascarella LAniche MShang W(2021)Logging Practices with Mobile Analytics: An Empirical Study on Firebase2021 IEEE/ACM 8th International Conference on Mobile Software Engineering and Systems (MobileSoft)10.1109/MobileSoft52590.2021.00013(56-60)Online publication date: May-2021
https://doi.org/10.1109/MobileSoft52590.2021.00013

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Published In

cover image ACM Conferences

MOBILESoft '20: Proceedings of the IEEE/ACM 7th International Conference on Mobile Software Engineering and Systems

July 2020

158 pages

ISBN:9781450379595

DOI:10.1145/3387905

General Chair:
David Lo
Singapore Management University, Singapore
,
Program Chairs:
Leonardo Mariani
University of Milano Bicocca, Italy
,
Ali Mesbah
University of British Columbia, Canada

Copyright © 2020 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 07 October 2020

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MOBILESoft '20

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MOBILESoft '20: IEEE/ACM 7th International Conference on Mobile Software Engineering and Systems

July 13 - 15, 2020

Seoul, Republic of Korea

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2025 IEEE/ACM 46th International Conference on Software Engineering

April 26 - May 3, 2025

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Cited By

Harty JBandara A(2024)Taming App Reliability: Mobile Analytics “in the wild”Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering10.1145/3661167.3661169(450-453)Online publication date: 18-Jun-2024
https://dl.acm.org/doi/10.1145/3661167.3661169
Harty JZhang HWei LPascarella LAniche MShang W(2021)Logging Practices with Mobile Analytics: An Empirical Study on Firebase2021 IEEE/ACM 8th International Conference on Mobile Software Engineering and Systems (MobileSoft)10.1109/MobileSoft52590.2021.00013(56-60)Online publication date: May-2021
https://doi.org/10.1109/MobileSoft52590.2021.00013

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