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Categorizing configuration parameters of smartphones for energy performance testing

Authors:

Kshirasagar Naik,

Yasir Ali,

Veluppillai Mahinthan,

Ajit Singh,

Abdulhakim AbogharafAuthors Info & Claims

AST 2014: Proceedings of the 9th International Workshop on Automation of Software Test

Pages 15 - 21

https://doi.org/10.1145/2593501.2593504

Published: 31 May 2014 Publication History

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Abstract

Energy performance testing in smartphones is a challenging task and the extent of exhaustive testing depends on the system configurations for different parameters and applications. In this paper, we propose a technique to classify the configuration parameters of a smartphone by partitioning them into two groups based on their maximum differential power (impact on power consumption). We validate the technique by applying it to four different smartphones: BlackBerry Bold 9700, BlackBerry Z10, Apple iPhone 3GS and Samsung Galaxy Nexus. The four devices represent a wide spectrum of devices with four operating systems (BB7, BB10, iOS, and Android), three makers (BlackBerry, Apple and Samsung), four hardware platforms, and relatively old and new devices.

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J. Bernal and et al., “Towards an eﬃcient context-aware system: Problems and suggestions to reduce energy consumption in mobile devices,” in 9th Int. Conf. ICMB-GMR, pp. 510 –514, 2010.

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R. Palit, R. Arya, K. Naik, and A. Singh, “Selection and execution of user level test cases for energy cost evaluation of smartphones,” in 6th Int. Workshop on Automation of Software Test, pp. 84–90, 2011.

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A. Abogharaf, R. Palit, K. Naik, and A. Singh, “A methodology for energy performance testing of smartphone applications,” in 7th Int. Workshop on Automation of Software Test, pp. 110–116, 2012.

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Cited By

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Júnior MAmalfitano DGarcés LFasolino AAndrade SDelamaro M(2022)Dynamic Testing Techniques of Non-functional Requirements in Mobile Apps: A Systematic Mapping StudyACM Computing Surveys10.1145/350790354:10s(1-38)Online publication date: 13-Sep-2022
https://dl.acm.org/doi/10.1145/3507903
Hlekisana Muchinenyika SN'sung-Nza Muyingi H(2022)An Analysis of Screen Resolution Effects on Battery Endurance: A Case of Smartphones2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)10.1109/SETIT54465.2022.9875592(356-360)Online publication date: 28-May-2022
https://doi.org/10.1109/SETIT54465.2022.9875592

Index Terms

Categorizing configuration parameters of smartphones for energy performance testing
1. General and reference
  1. Cross-computing tools and techniques
    1. Metrics
2. Software and its engineering
  1. Software creation and management
    1. Software verification and validation
      1. Software defect analysis
        Software testing and debugging

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AST 2014: Proceedings of the 9th International Workshop on Automation of Software Test

May 2014

63 pages

ISBN:9781450328586

DOI:10.1145/2593501

Program Chairs:
Hong Zhu,
Jerry Gao,
Saurabh Sinha,
Lu Zhang

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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TCSE: IEEE Computer Society's Tech. Council on Software Engin.

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Association for Computing Machinery

New York, NY, United States

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Published: 31 May 2014

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ICSE '14: 36th International Conference on Software Engineering

May 31 - June 1, 2014

Hyderabad, India

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Júnior MAmalfitano DGarcés LFasolino AAndrade SDelamaro M(2022)Dynamic Testing Techniques of Non-functional Requirements in Mobile Apps: A Systematic Mapping StudyACM Computing Surveys10.1145/350790354:10s(1-38)Online publication date: 13-Sep-2022
https://dl.acm.org/doi/10.1145/3507903
Hlekisana Muchinenyika SN'sung-Nza Muyingi H(2022)An Analysis of Screen Resolution Effects on Battery Endurance: A Case of Smartphones2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)10.1109/SETIT54465.2022.9875592(356-360)Online publication date: 28-May-2022
https://doi.org/10.1109/SETIT54465.2022.9875592

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A methodology for energy performance testing of smartphone applications

Towards end-user development of REST client applications on smartphones

Anatomizing application performance differences on smartphones

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