Supporting evolution and maintenance of Android apps
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Summary
It is hypothesized that the proposed approach will help developers not only deal with platform and library updates opportunely, but also keep (and increase) the user base by avoiding many of these potential API ”update” bugs.
- Type
- article
- Published
- 2014-05-31
- Cited by
- 16
- References
- 180
- Access
- Open access
- OpenAlex
- https://openalex.org/W1974021515
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6262702
Keywords
Android (operating system), Computer science, Mobile apps, World Wide Web, Software bug
References
- Towards Verifying Android Apps for the Absence of No-Sleep Energy Bugs
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- Foundations of Statistical Natural Language Processing
- Andlantis: Large-scale Android Dynamic Analysis
- SPEA2: Improving the strength pareto evolutionary algorithm
- Testing Object-Oriented Systems: Models, Patterns, and Tools
- Interpolated estimation of Markov source parameters from sparse data
- Detecting Display Energy Hotspots in Android Apps
- The Object Primer: Agile Model-Driven Development with UML 2.0
- Effect sizes for research: A broad practical approach.
- PATS: A Parallel GUI Testing Framework for Android Applications
- V-edge: Fast Self-constructive Power Modeling of Smartphones Based on Battery Voltage Dynamics
- An Analysis of Power Consumption in a Smartphone
- The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation
- Power Modeling and Optimization for OLED Displays
- Improving the Accuracy of Automated GUI Testing for Embedded Systems
Cited by
- App store mining and analysis
- The Impact of API Change- and Fault-Proneness on the User Ratings of Android Apps
- A Preliminary Study on Mobile Apps Call Graphs through a Complex Network Approach
- Finding Bugs in Android Application using Genetic Algorithm and Apriori Algorithm
- Let's Talk Money: Evaluating the Security Challenges of Mobile Money in the Developing World
- A Survey of App Store Analysis for Software Engineering
- The evolution of open‐source mobile applications: An empirical study
- App Store Analysis: Mining App Stores for Relationships between Customer, Business and Technical Characteristics
- Do Developers Update Third-Party Libraries in Mobile Apps?
- A Case Study of API Management Using Aspects in a Brazilian Organization
- Characterizing the Global Mobile App Developers: A Large-Scale Empirical Study
- Third-party libraries in mobile apps
- ASSESSING THE QUALITY OF SOFTWARE DEVELOPMENT TUTORIALS AVAILABLE ON THE WEB
- Recovering Android Bad Smells from Android Applications
- Recommending Posts concerning API Issues in Developer Q&A Sites
- App store mining and analysis (keynote)
- Empirical Study on the Interface and Feature Evolutions of Mobile Apps
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