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A Quantitative and Qualitative Investigation of Performance-Related Commits in Android Apps

https://doi.org/10.1109/icsme.2016.49

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What this work says

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

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Refactoring: Improving the Design of Existing Code

inferredcites →https://doi.org/10.1109/icse.2013.6606651openalex-snapshot

Automatic detection of performance deviations in the load testing of Large Scale Systems

inferredcites →https://doi.org/10.1109/icse.2015.144openalex-snapshot

An Industrial Case Study on the Automated Detection of Performance Regressions in Heterogeneous Environments

inferredcites →https://doi.org/10.1109/icsm.2015.7332486openalex-snapshot

How developers detect and fix performance bottlenecks in Android apps

inferredcites →https://doi.org/10.1109/mobserv.2015.14openalex-snapshot

End Users' Perception of Hybrid Mobile Apps in the Google Play Store

inferredcites →https://doi.org/10.1109/msr.2012.6224281openalex-snapshot

A qualitative study on performance bugs

inferredcites →https://doi.org/10.1109/msr.2015.13openalex-snapshot

Mining Energy-Aware Commits

inferredcites →https://doi.org/10.1145/2254064.2254075openalex-snapshot

Understanding and detecting real-world performance bugs

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Understanding and detecting real-world performance bugs

inferredcites →https://doi.org/10.1145/2568225.2568229openalex-snapshot

Characterizing and detecting performance bugs for smartphone applications

inferredcites →https://doi.org/10.1145/2610384.2610410openalex-snapshot

SunCat: helping developers understand and predict performance problems in smartphone applications

inferredcites →https://doi.org/10.1145/2635868.2635922openalex-snapshot

A large scale study of programming languages and code quality in github

inferredcites →https://doi.org/10.1145/2884781.2884829openalex-snapshot

Performance issues and optimizations in JavaScript

inferredcites →https://doi.org/10.1145/2884781.2884867openalex-snapshot

Automated energy optimization of HTTP requests for mobile applications

inferredcites →https://doi.org/10.1145/2901739.2901774openalex-snapshot

Studying the effectiveness of application performance management (APM) tools for detecting performance regressions for web applications

inferredcites →https://doi.org/10.5555/2486788.2486927openalex-snapshot

Automatic detection of performance deviations in the load testing of large scale systems

inferredcites →https://doi.org/10.5555/2664446.2664477openalex-snapshot

A qualitative study on performance bugs

What points at this work

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

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Mining for Cost Awareness in the Infrastructure as Code Artifacts of Cloud-Based Applications: An Exploratory Study

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End Users’ Perspective of Performance Issues in Google Play Store Reviews

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Investigating the Relationship Between Churning and Code Smells

inferred← citeshttps://doi.org/10.1007/s10515-022-00347-9openalex-snapshot

AppSPIN: reconfiguration-based responsiveness testing and diagnosing for Android Apps

inferred← citeshttps://doi.org/10.1007/s10664-019-09701-0openalex-snapshot

To the attention of mobile software developers: guess what, test your app!

inferred← citeshttps://doi.org/10.1007/s10664-019-09798-3openalex-snapshot

Characterizing the evolution of statically-detectable performance issues of Android apps

inferred← citeshttps://doi.org/10.1007/s10664-021-10059-5openalex-snapshot

Software testing and Android applications: a large-scale empirical study

inferred← citeshttps://doi.org/10.1007/s10664-022-10137-2openalex-snapshot

How do Android developers improve non-functional properties of software?

inferred← citeshttps://doi.org/10.1007/s13369-020-04365-1openalex-snapshot

Recovering Android Bad Smells from Android Applications

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Refactoring Android Source Code Smells From Android Applications

inferred← citeshttps://doi.org/10.1109/asew52652.2021.00018openalex-snapshot

An Empirical Study on Code Smells Co-occurrences in Android Applications

inferred← citeshttps://doi.org/10.1109/icsme.2018.00013openalex-snapshot

Reproducible Interference-Aware Mobile Testing

inferred← citeshttps://doi.org/10.1109/icsme.2018.00042openalex-snapshot

How Maintainability Issues of Android Apps Evolve

inferred← citeshttps://doi.org/10.1109/majicc53071.2021.9526267openalex-snapshot

Challenges faced by Business Analysts eliciting User Requirements in the software industry: A survey-based study

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An Empirical Study on the Impact of Refactoring on Quality Metrics in Android Applications

inferred← citeshttps://doi.org/10.1109/scam63643.2024.00032openalex-snapshot

An Empirical Study on Understanding Performance Issues and Causes in Android Apps

inferred← citeshttps://doi.org/10.1109/seaa64295.2024.00067openalex-snapshot

A Catalog of Cost Patterns and Antipatterns for Infrastructure as Code

inferred← citeshttps://doi.org/10.1109/tr.2018.2869227openalex-snapshot

Mobile GUI Testing Fragility: A Study on Open-Source Android Applications

inferred← citeshttps://doi.org/10.1109/tse.2019.2941936openalex-snapshot

Enhancing Trustability of Android Applications via User-Centric Flexible Permissions

inferred← citeshttps://doi.org/10.1145/3196398.3196460openalex-snapshot

A graph-based dataset of commit history of real-world Android apps

inferred← citeshttps://doi.org/10.1145/3197231.3197251openalex-snapshot

Self-reported activities of Android developers

inferred← citeshttps://doi.org/10.1145/3324884.3416543openalex-snapshot

Understanding performance concerns in the API documentation of data science libraries

inferred← citeshttps://doi.org/10.1145/3387904.3389256openalex-snapshot

Testing of Mobile Applications in the Wild

inferred← citeshttps://doi.org/10.1145/3593434.3593437openalex-snapshot

Investigation of Security-related Commits in Android Apps

inferred← citeshttps://doi.org/10.1145/3626641.3626948openalex-snapshot

User Interface Rendering Time in Android Applications: Revealing the Effects of Design Patterns

inferred← citeshttps://doi.org/10.1145/3691621.3694929openalex-snapshot

Taxonomy of Security-related Issues in Android Apps: An Empirical Study

inferred← citeshttps://doi.org/10.1145/3695750.3695824openalex-snapshot

Taxonomy of Security-related Issues in Android Apps: An Empirical Study

inferred← citeshttps://doi.org/10.1145/3793302.3793619openalex-snapshot

How Do Agentic AI Systems Address Performance Optimizations? A BERTopic-Based Analysis of Pull Requests

inferred← citeshttps://doi.org/10.1186/s13174-021-00134-xopenalex-snapshot

Software engineering techniques for statically analyzing mobile apps: research trends, characteristics, and potential for industrial adoption

inferred← citeshttps://doi.org/10.21015/vtse.v13i3.2186openalex-snapshot

Solving Software Project Scheduling Challenges Using a Search-Based Approach

inferred← citeshttps://doi.org/10.2139/ssrn.6958669openalex-snapshot

Repository-visible DevOps Practices and Delivery Performance in Mobile App Development: a Large-scale Empirical Study of Android Repositories

inferred← citeshttps://doi.org/10.2139/ssrn.6958670openalex-snapshot

Repository-visible DevOps Practices and Delivery Performance in Mobile App Development: a Large-scale Empirical Study of Android Repositories

inferred← citeshttps://doi.org/10.22214/ijraset.2022.45965openalex-snapshot

Enhancing the Performance of Android

inferred← citeshttps://doi.org/10.2991/aer.k.201221.047openalex-snapshot

Performance Comparison of Native Android Application on MVP and MVVM

inferred← citeshttps://doi.org/10.3390/a16010053openalex-snapshot

Investigating Novice Developers’ Code Commenting Trends Using Machine Learning Techniques

inferred← citeshttps://doi.org/10.3390/info9110273openalex-snapshot

The Impact of Code Smells on Software Bugs: A Systematic Literature Review

inferred← citeshttps://doi.org/10.4018/irmj.291694openalex-snapshot

Non-Functional Requirements Analysis Based on Application Reviews in the Android App Market

inferred← citeshttps://doi.org/10.48550/arxiv.1809.10069openalex-snapshot

Datasets of Android Applications: a Literature Review

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