research-article

Exploring the effects of ad schemes on the performance cost of mobile phones

Authors:

Federica Sarro,

Michael R. Lyu,

Irwin KingAuthors Info & Claims

A-Mobile 2018: Proceedings of the 1st International Workshop on Advances in Mobile App Analysis

Pages 13 - 18

https://doi.org/10.1145/3243218.3243221

Published: 04 September 2018 Publication History

Abstract

Advertising is an important revenue source for mobile app development, especially for free apps. However, ads also carry costs to users. Displaying ads can interfere user experience, and lead to less user retention and reduced earnings ultimately. Although there are recent studies devoted to directly mitigating ad costs, for example, by reducing the battery or memory consumed, comprehensive analysis on ad embedded schemes (e.g., ad sizes and ad providers) has rarely been conducted. In this paper, we focus on analyzing three types of performance cost, i.e., cost of memory/CPU, traffic, and battery. We explore 12 ad schemes used in 104 popular Android apps and compare their performance consumption. We show that the performance costs of the ad schemes we analyzed are significantly different. We also summarize the ad schemes that would generate low resource cost to users. Our summary is endorsed by 37 experienced app developers we surveyed.

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Cited By

Zhao YLiu TWang HLiu YGrundy JLi L(2023)Are Mobile Advertisements in Compliance with App’s Age Group?Proceedings of the ACM Web Conference 202310.1145/3543507.3583534(3132-3141)Online publication date: 30-Apr-2023
https://dl.acm.org/doi/10.1145/3543507.3583534
Hort MKechagia MSarro FHarman M(2022)A Survey of Performance Optimization for Mobile ApplicationsIEEE Transactions on Software Engineering10.1109/TSE.2021.307119348:8(2879-2904)Online publication date: 1-Aug-2022
https://doi.org/10.1109/TSE.2021.3071193
Ahasanuzzaman MHassan SHassan A(2022)Studying Ad Library Integration Strategies of Top Free-to-Download AppsIEEE Transactions on Software Engineering10.1109/TSE.2020.298339948:1(209-224)Online publication date: 1-Jan-2022
https://doi.org/10.1109/TSE.2020.2983399
Show More Cited By

Index Terms

Exploring the effects of ad schemes on the performance cost of mobile phones
1. General and reference
  1. Cross-computing tools and techniques
    1. Performance
2. Software and its engineering
  1. Software notations and tools
    1. Software maintenance tools

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Published In

cover image ACM Conferences

A-Mobile 2018: Proceedings of the 1st International Workshop on Advances in Mobile App Analysis

September 2018

34 pages

ISBN:9781450359733

DOI:10.1145/3243218

General Chairs:
Li Li,
Guozhu Meng,
Jacques Klein,
Sam Malek

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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CNRS: Centre National De La Rechercue Scientifique
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IEEE-CS: Computer Society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 September 2018

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IEEE-CS

ASE '18: 33rd ACM/IEEE International Conference on Automated Software Engineering

September 4, 2018

Montpellier, France

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Cited By

Zhao YLiu TWang HLiu YGrundy JLi L(2023)Are Mobile Advertisements in Compliance with App’s Age Group?Proceedings of the ACM Web Conference 202310.1145/3543507.3583534(3132-3141)Online publication date: 30-Apr-2023
https://dl.acm.org/doi/10.1145/3543507.3583534
Hort MKechagia MSarro FHarman M(2022)A Survey of Performance Optimization for Mobile ApplicationsIEEE Transactions on Software Engineering10.1109/TSE.2021.307119348:8(2879-2904)Online publication date: 1-Aug-2022
https://doi.org/10.1109/TSE.2021.3071193
Ahasanuzzaman MHassan SHassan A(2022)Studying Ad Library Integration Strategies of Top Free-to-Download AppsIEEE Transactions on Software Engineering10.1109/TSE.2020.298339948:1(209-224)Online publication date: 1-Jan-2022
https://doi.org/10.1109/TSE.2020.2983399
Gao CZeng JLo DXia XKing ILyu M(2022)Understanding in-app advertising issues based on large scale app review analysisInformation and Software Technology10.1016/j.infsof.2021.106741142:COnline publication date: 1-Feb-2022
https://dl.acm.org/doi/10.1016/j.infsof.2021.106741
Callan JKrauss OPetke JSarro F(2022)How do Android developers improve non-functional properties of software?Empirical Software Engineering10.1007/s10664-022-10137-227:5Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1007/s10664-022-10137-2
Hajarian MCamilleri MDíaz PAedo I(2021)A Taxonomy of Online Marketing MethodsStrategic Corporate Communication in the Digital Age10.1108/978-1-80071-264-520211014(235-250)Online publication date: 19-Feb-2021
https://doi.org/10.1108/978-1-80071-264-520211014
Ahasanuzzaman MHassan SBezemer CHassan A(2019)A longitudinal study of popular ad libraries in the google play storeEmpirical Software Engineering10.1007/s10664-019-09766-xOnline publication date: 12-Dec-2019
https://doi.org/10.1007/s10664-019-09766-x

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