Cover Image

Practitioner Views on Mobile App Accessibility: Practices and Challenges

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Indika, Amila, Kazman, Rick, Peruma, Anthony
Format:	Preprint
Published:	2026
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploring Accessibility Trends and Challenges in Mobile App Development: A Study of Stack Overflow Questions
by: Indika, Amila, et al.
Published: (2024)

A Developer-Centric Study Exploring Mobile Application Security Practices and Challenges
by: Peruma, Anthony, et al.
Published: (2024)

Mobile App Security Trends and Topics: An Examination of Questions From Stack Overflow
by: Huo, Timothy, et al.
Published: (2024)

SODBench: A Large Language Model Approach to Documenting Spreadsheet Operations
by: Indika, Amila, et al.
Published: (2025)

Understanding npm Developers' Practices, Challenges, and Recommendations for Secure Package Development
by: Peruma, Anthony, et al.
Published: (2026)

Moderately Mighty: To What Extent Can Internal Software Metrics Predict App Popularity at Launch?
by: Opu, Md Nahidul Islam, et al.
Published: (2025)

On the Rationale and Use of Assertion Messages in Test Code: Insights from Software Practitioners
by: Peruma, Anthony, et al.
Published: (2024)

Exploring Large Language Models for Analyzing and Improving Method Names in Scientific Code
by: Larsen, Gunnar, et al.
Published: (2025)

Oops!... I did it again. Conclusion (In-)Stability in Quantitative Empirical Software Engineering: A Large-Scale Analysis
by: Hoess, Nicole, et al.
Published: (2025)

Leveraging Sustainable Systematic Literature Reviews
by: Santos, Vinicius dos, et al.
Published: (2025)

Does the Tool Matter? Exploring Some Causes of Threats to Validity in Mining Software Repositories
by: Hoess, Nicole, et al.
Published: (2025)

Practical, Automated Scenario-based Mobile App Testing
by: Yu, Shengcheng, et al.
Published: (2024)

Exploring Code Comprehension in Scientific Programming: Preliminary Insights from Research Scientists
by: Chen, Alyssia, et al.
Published: (2025)

Insights from the Field: Exploring Students' Perspectives on Bad Unit Testing Practices
by: Peruma, Anthony, et al.
Published: (2024)

A Systematic Mapping Study on Architectural Approaches to Software Performance Analysis
by: Zhao, Yutong, et al.
Published: (2024)

Towards a Maturity Model for Systematic Literature Review Process
by: Santos, Vinicius dos, et al.
Published: (2022)

Challenges and Practices in Quantum Software Testing and Debugging: Insights from Practitioners
by: Zappin, Jake, et al.
Published: (2025)

The Impact of Generative AI-Powered Code Generation Tools on Software Engineer Hiring: Recruiters' Experiences, Perceptions, and Strategies
by: Chen, Alyssia, et al.
Published: (2024)

Method Names in Jupyter Notebooks: An Exploratory Study
by: Wong, Carol, et al.
Published: (2025)

Identifier Name Similarities: An Exploratory Study
by: Wong, Carol, et al.
Published: (2025)

An LLM-assisted approach to designing software architectures using ADD
by: Cervantes, Humberto, et al.
Published: (2025)

Detection of Technical Debt in Java Source Code
by: Hai, Nam Le, et al.
Published: (2024)

Explaining the Contributing Factors for Vulnerability Detection in Machine Learning
by: Mouine, Esma, et al.
Published: (2024)

Impostor Syndrome in Final Year Computer Science Students: An Eye Tracking and Biometrics Study
by: Chen, Alyssia, et al.
Published: (2024)

Analysis of Marketed versus Not-marketed Mobile App Releases
by: Nayebi, Maleknaz, et al.
Published: (2024)

Security Debt in Practice: Nuanced Insights from Practitioners
by: Boufaied, Chaima, et al.
Published: (2025)

Challenges of Using Pre-trained Models: the Practitioners' Perspective
by: Tan, Xin, et al.
Published: (2024)

Themes of Building LLM-based Applications for Production: A Practitioner's View
by: Mailach, Alina, et al.
Published: (2024)

Vision-Based Mobile App GUI Testing: A Survey
by: Yu, Shengcheng, et al.
Published: (2023)

Scenario-Guided LLM-based Mobile App GUI Testing
by: Yu, Shengcheng, et al.
Published: (2025)

Ethics in AI through the Practitioner's View: A Grounded Theory Literature Review
by: Pant, Aastha, et al.
Published: (2022)

Behaviour Driven Development Scenario Generation with Large Language Models
by: Rathnayake, Amila, et al.
Published: (2026)

Unveiling Competition Dynamics in Mobile App Markets through User Reviews
by: Motger, Quim, et al.
Published: (2023)

Empathy Guidelines for Improving Practitioner Well-being & Software Engineering Practices
by: Gunatilake, Hashini, et al.
Published: (2025)

Prompting in Practice: Investigating Software Practitioners' Use of Generative AI Tools
by: Otten, Daniel, et al.
Published: (2025)

Industry Practitioners Perspectives on AI Model Quality: Perceptions, Challenges, and Solutions
by: Wang, Chenyu, et al.
Published: (2024)

From Exploration to Specification: LLM-Based Property Generation for Mobile App Testing
by: Xiong, Yiheng, et al.
Published: (2026)

Toward the Automated Localization of Buggy Mobile App UIs from Bug Descriptions
by: Saha, Antu, et al.
Published: (2024)

LLMs in Mobile Apps: Practices, Challenges, and Opportunities
by: Hau, Kimberly, et al.
Published: (2025)

A Practical Guide to Establishing Technical Debt Management (TDM Guide for Practitioners)
by: Wiese, Marion
Published: (2026)