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An investigation into energy-saving programming practices for Android smartphone app development

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/archsurg.2011.97openalex-snapshot
Choosing “The Best”
inferredcites →https://doi.org/10.1007/978-3-540-87891-9_7openalex-snapshot
Component-Level Energy Consumption Estimation for Distributed Java-Based Software Systems
inferredcites →https://doi.org/10.1007/bf01130407openalex-snapshot
Instruction level power analysis and optimization of software
inferredcites →https://doi.org/10.1109/92.335012openalex-snapshot
Power analysis of embedded software: a first step towards software power minimization
inferredcites →https://doi.org/10.1109/cmpcon.1994.282878openalex-snapshot
Low power architecture design and compilation techniques for high-performance processors
inferredcites →https://doi.org/10.1109/greens.2012.6224257openalex-snapshot
Initial explorations on design pattern energy usage
inferredcites →https://doi.org/10.1109/greens.2012.6224263openalex-snapshot
Estimating Android applications' CPU energy usage via bytecode profiling
inferredcites →https://doi.org/10.1109/ipsn.2006.243913openalex-snapshot
The low power energy aware processing (LEAP) embedded networked sensor system
inferredcites →https://doi.org/10.1109/tmc.2012.40openalex-snapshot
Chameleon: A Color-Adaptive Web Browser for Mobile OLED Displays
inferredcites →https://doi.org/10.1145/1127777.1127846openalex-snapshot
The low power energy aware processing (LEAP)embedded networked sensor system
inferredcites →https://doi.org/10.1145/1321631.1321699openalex-snapshot
An energy consumption framework for distributed java-based systems
inferredcites →https://doi.org/10.1145/178243.178259openalex-snapshot
Memory access coalescing
inferredcites →https://doi.org/10.1145/1966445.1966460openalex-snapshot
Fine-grained power modeling for smartphones using system call tracing
inferredcites →https://doi.org/10.1145/1999995.2000027openalex-snapshot
Self-constructive high-rate system energy modeling for battery-powered mobile systems
inferredcites →https://doi.org/10.1145/2168836.2168841openalex-snapshot
Where is the energy spent inside my app?
inferredcites →https://doi.org/10.1145/2398776.2398827openalex-snapshot
Inside dropbox
inferredcites →https://doi.org/10.1145/2483760.2483780openalex-snapshot
Calculating source line level energy information for Android applications
inferredcites →https://doi.org/10.1145/2568225.2568321openalex-snapshot
Making web applications more energy efficient for OLED smartphones
inferredcites →https://doi.org/10.1145/263272.263286openalex-snapshot
Techniques for low energy software
inferredcites →https://doi.org/10.1145/339647.339657openalex-snapshot
Wattch
inferredcites →https://doi.org/10.1145/342001.339657openalex-snapshot
Wattch
inferredcites →https://doi.org/10.1145/378239.378467openalex-snapshot
JouleTrack
inferredcites →https://doi.org/10.1145/781027.781048openalex-snapshot
Run-time modeling and estimation of operating system power consumption
inferredcites →https://doi.org/10.5220/0002245401990206openalex-snapshot
CHOOSING THE ”BEST” SORTING ALGORITHM FOR OPTIMAL ENERGY CONSUMPTION
inferredcites →https://doi.org/10.5281/zenodo.1057717openalex-snapshot
Energy Consumption Analysis Of Design Patterns
inferredcites →https://doi.org/10.5555/2486788.2486801openalex-snapshot
Estimating mobile application energy consumption using program analysis
inferredcites →https://doi.org/10.5555/2663779.2663780openalex-snapshot
Estimating Android applications' CPU energy usage via bytecode profiling

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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How Software Design Affects Energy Performance: A Systematic Literature Review
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Detecting display energy hotspots in Android apps
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Deep Learning-Based Software Energy Consumption Profiling
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InnoMetrics Dashboard: The Design, and Implementation of the Adaptable Dashboard for Energy-Efficient Applications Using Open Source Tools
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Criteria for Sustainable Software Products: Analyzing Software, Informing Users, and Politics
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Patterns and Energy Consumption: Design, Implementation, Studies, and Stories
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An Empirical Study on the Energy Efficiency of Matrix Transposition Algorithms
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Energy Efficient Software in an Engineering Course
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Green Cybersecurity: An Evaluation of Antivirus Energy Consumption and Implications for Sustainable Software Engineering
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Energy Debt: Foundations, Techniques and Tools
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Green software requirements and measurement: random decision forests-based software energy consumption profiling
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A study of the relation of mobile device attributes with the user-perceived quality of Android apps
inferred← citeshttps://doi.org/10.1007/s10664-019-09682-0openalex-snapshot
Catalog of energy patterns for mobile applications
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GreenHub: a large-scale collaborative dataset to battery consumption analysis of android devices
inferred← citeshttps://doi.org/10.1007/s10664-023-10387-8openalex-snapshot
Energy efficiency of the Visitor Pattern: contrasting Java and C++ implementations
inferred← citeshttps://doi.org/10.1007/s11219-024-09690-4openalex-snapshot
Programming languages ranking based on energy measurements
inferred← citeshttps://doi.org/10.1007/s11227-020-03312-zopenalex-snapshot
Smartphone processor architecture, operations, and functions: current state-of-the-art and future outlook: energy performance trade-off
inferred← citeshttps://doi.org/10.1007/s13369-020-04365-1openalex-snapshot
Recovering Android Bad Smells from Android Applications
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A Survey on Automatic Source Code Transformation for Green Software Generation
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Interactions between environmental sustainability goals and software product quality: A mapping study
inferred← citeshttps://doi.org/10.1016/j.infsof.2017.12.011openalex-snapshot
Special Section: Automation and Analytics for Greener Software Engineering
inferred← citeshttps://doi.org/10.1016/j.infsof.2018.08.004openalex-snapshot
On the impact of code smells on the energy consumption of mobile applications
inferred← citeshttps://doi.org/10.1016/j.infsof.2020.106407openalex-snapshot
Integrated framework for incorporating sustainability design in software engineering life-cycle: An empirical study
inferred← citeshttps://doi.org/10.1016/j.jksuci.2018.05.007openalex-snapshot
Multiclass classification of mobile applications as per energy consumption
inferred← citeshttps://doi.org/10.1016/j.jss.2016.02.035openalex-snapshot
Empirical evaluation of two best practices for energy-efficient software development
inferred← citeshttps://doi.org/10.1016/j.jss.2016.03.031openalex-snapshot
From benchmarks to real apps: Exploring the energy impacts of performance-directed changes
inferred← citeshttps://doi.org/10.1016/j.jss.2023.111677openalex-snapshot
A systematic literature review on Android-specific smells
inferred← citeshttps://doi.org/10.1016/j.scico.2021.102609openalex-snapshot
Ranking programming languages by energy efficiency
inferred← citeshttps://doi.org/10.1016/j.suscom.2018.07.011openalex-snapshot
Energy saving strategies in the design of mobile device applications
inferred← citeshttps://doi.org/10.1016/j.suscom.2021.100603openalex-snapshot
Investigating the impact on execution time and energy consumption of developing with Spring
inferred← citeshttps://doi.org/10.1017/9781108686532openalex-snapshot
A Flexible Multi-Functional Touch Panel for Multi-Dimensional Sensing in Interactive Displays
inferred← citeshttps://doi.org/10.1038/s41598-024-67660-zopenalex-snapshot
Code smells analysis for android applications and a solution for less battery consumption
inferred← citeshttps://doi.org/10.1109/access.2019.2925350openalex-snapshot
Evaluation of Machine Learning Approaches for Android Energy Bugs Detection With Revision Commits
inferred← citeshttps://doi.org/10.1109/asew60602.2023.00005openalex-snapshot
Ecological Impact of Native Versus Cross-Platform Mobile Apps: A Preliminary Study
inferred← citeshttps://doi.org/10.1109/compsac.2018.10244openalex-snapshot
Situation Based Energy Management Framework on Mobile Devices
inferred← citeshttps://doi.org/10.1109/comtech.2017.8065755openalex-snapshot
The green 2020: Impact of smartphones on the environment in present and future
inferred← citeshttps://doi.org/10.1109/cscwd.2019.8791851openalex-snapshot
Energy Optimization of Online Tracker for Mobile Devices
inferred← citeshttps://doi.org/10.1109/esem.2019.8870158openalex-snapshot
Comprehending Energy Behaviors of Java I/O APIs
inferred← citeshttps://doi.org/10.1109/greens.2015.8openalex-snapshot
Energy-Aware Performance Evaluation of Android Custom Kernels
inferred← citeshttps://doi.org/10.1109/icieect.2017.7916593openalex-snapshot
Review: Smartphones power consumption & energy saving techniques
inferred← citeshttps://doi.org/10.1109/iconac.2015.7313972openalex-snapshot
Energy efficiency in smartphones: A survey on modern tools and techniques
inferred← citeshttps://doi.org/10.1109/icse-c.2017.33openalex-snapshot
Reducing Energy Consumption of Resource-Intensive Scientific Mobile Applications via Code Refactoring
inferred← citeshttps://doi.org/10.1109/icse-companion55297.2022.9793763openalex-snapshot
Proactive Libraries: Enforcing Correct Behaviors in Android Apps
inferred← citeshttps://doi.org/10.1109/icse-seis.2019.00015openalex-snapshot
Architecture Design Decision Maps for Software Sustainability
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Truth in Advertising: The Hidden Cost of Mobile Ads for Software Developers
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An Empirical Study of the Energy Consumption of Android Applications
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A Comprehensive Study on the Energy Efficiency of Java’s Thread-Safe Collections
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Automated Refactoring for Energy-Aware Software
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The Energy Cost of the Visitor Pattern
inferred← citeshttps://doi.org/10.1109/icst.2015.7102585openalex-snapshot
Detecting Display Energy Hotspots in Android Apps
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Static Code Analysis for Reducing Energy Code Smells in Different Loop Types: A Case Study in Java
inferred← citeshttps://doi.org/10.1109/ieee.edge.2017.42openalex-snapshot
MVR: An Architecture for Computation Offloading in Mobile Edge Computing
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Energy-efficient overlay networks for mobile devices with buffered relaying and push notifications
inferred← citeshttps://doi.org/10.1109/mobilesoft.2017.19openalex-snapshot
Performance-Based Guidelines for Energy Efficient Mobile Applications
inferred← citeshttps://doi.org/10.1109/mobilsoft59058.2023.00014openalex-snapshot
Ebserver: Automating Resource-Usage Data Collection of Android Applications
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Mining Energy-Aware Commits
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GreenHub Farmer: Real-World Data for Android Energy Mining
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GreenSource: A Large-Scale Collection of Android Code, Tests and Energy Metrics
inferred← citeshttps://doi.org/10.1109/qrs54544.2021.00017openalex-snapshot
EcoAndroid: An Android Studio Plugin for Developing Energy-Efficient Java Mobile Applications
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Optimizing User Experience in Choosing Android Applications
inferred← citeshttps://doi.org/10.1109/saner.2017.7884614openalex-snapshot
Investigating the energy impact of Android smells
inferred← citeshttps://doi.org/10.1109/saner48275.2020.9054858openalex-snapshot
Energy Refactorings for Android in the Large and in the Wild
inferred← citeshttps://doi.org/10.1109/saner53432.2022.00108openalex-snapshot
Removing Decorator to Improve Energy Efficiency
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A Source-Level Energy Optimization Framework for Mobile Applications
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Towards Greener Software Engineering Using Software Analytics: A Systematic Mapping
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Policy Enforcement with Proactive Libraries
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EARMO: An Energy-Aware Refactoring Approach for Mobile Apps
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On the Energy Footprint of Mobile Testing Frameworks
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Bringing Energy Efficiency Closer to Application Developers: An Extensible Software Analysis Framework
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Optimizing energy of HTTP requests in Android applications
inferred← citeshttps://doi.org/10.1145/2804345.2804356openalex-snapshot
Optimizing display energy consumption for hybrid Android apps (invited talk)
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An empirical study of practitioners' perspectives on green software engineering
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Automated energy optimization of HTTP requests for mobile applications
inferred← citeshttps://doi.org/10.1145/2897073.2897100openalex-snapshot
An empirical study of the performance impacts of Android code smells
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How android app developers manage power consumption?
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Energy Efficiency of ORM Approaches
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Energy efficiency across programming languages: how do energy, time, and memory relate?
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Designing sustainable smart connected communities using dynamic spectrum access via band selection
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Remove RATs from your code: automated optimization of resource inefficient database writes for mobile applications
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Towards a framework for detecting energy drain in mobile applications
inferred← citeshttps://doi.org/10.1145/3274284openalex-snapshot
Designing Green Communication Systems for Smart and Connected Communities via Dynamic Spectrum Access
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Software Development Lifecycle for Energy Efficiency
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Reactive-based Complex Event Processing
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Controlling Interactions with Libraries in Android Apps Through Runtime Enforcement
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A Survey of Hierarchical Energy Optimization for Mobile Edge Computing
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On Reducing the Energy Consumption of Software
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Characterizing Energy Consumption of Third-Party API Libraries using API Utilization Profiles
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On energy debt
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Detecting and diagnosing energy issues for mobile applications
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E-Debitum
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Bringing Green Software to Computer Science Curriculum: Perspectives from Researchers and Educators
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Systematizing the Meta-Analytical Process in Software Engineering
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Proactive libraries
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Predicting the energy consumption level of Java classes in Android apps
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Combatting Energy Issues for Mobile Applications
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Trading Runtime for Energy Efficiency: Leveraging Power Caps to Save Energy across Programming Languages
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How Do Agentic AI Systems Deal With Software Energy Concerns? A Pull Request-Based Study
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Consumo de energia em dispositivos móveis Android: análise das estratégias de comunicação utilizadas em Computation Offloading
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TOWARDS ENERGY-AWARE CODING PRACTICES FOR ANDROID
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Angewandte Forschung in der Wirtschaftsinformatik 2023 : Tagungsband zur 36. AKWI-Jahrestagung vom 11.09.2023 bis 13.09.2023 ausgerichtet von der Technischen Hochschule Wildau
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A Multi-functional Touch Panel for Multi-Dimensional Sensing in Interactive Displays
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Experiments on Model-Based Software Energy Consumption Analysis Involving Sorting Algorithms
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Energy efficient middleware: Design and development for mobile applications
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Software Evolution and Profiling in a Competitive Environment
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Measuring Energy Efficiency of Selected Working Software
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The Software Cache Optimization-Based Method for Decreasing Energy Consumption of Computational Clusters
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Statically Analyzing the Energy Efficiency of Software Product Lines
inferred← citeshttps://doi.org/10.3390/s24196469openalex-snapshot
A Developer-Oriented Framework for Assessing Power Consumption in Mobile Applications: Android Energy Smells Case Study
inferred← citeshttps://doi.org/10.3390/s24227246openalex-snapshot
Measuring the Effectiveness of the ‘Batch Operations’ Energy Design Pattern to Mitigate the Carbon Footprint of Communication Peripherals on Mobile Devices
inferred← citeshttps://doi.org/10.4018/978-1-7998-7646-5.ch004openalex-snapshot
Green for ICT, Green by ICT, Green by Design
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Minimization of Energy in Smart Phone Application Development Using Code Analysis
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An Energy-Aware Programming Approach for Mobile Application Development Guided by a Fine-Grained Energy Model
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Using Automatic Refactoring to Improve Energy Efficiency of Android Apps
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On the Energy Footprint of Mobile Testing Frameworks
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Improving Energy Efficiency Through Automatic Refactoring
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On the impact of sampling frequency on software energy measurements
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