Navid Salehnamadi

Orcid: 0000-0001-7009-2420

According to our database1, Navid Salehnamadi authored at least 11 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
DeltaDroid: Dynamic Delivery Testing in Android.
ACM Trans. Softw. Eng. Methodol., July, 2023

Route: Roads Not Taken in UI Testing.
ACM Trans. Softw. Eng. Methodol., May, 2023

Assistive-Technology Aided Manual Accessibility Testing in Mobile Apps, Powered by Record-and-Replay.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Automated Assistive-Service Driven Accessibility Testing for Mobile Applications
PhD thesis, 2022

Groundhog: An Automated Accessibility Crawler for Mobile Apps.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Too Much Accessibility is Harmful! Automated Detection and Analysis of Overly Accessible Elements in Mobile Apps.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021
Data-driven accessibility repair revisited: on the effectiveness of generating labels for icons in Android apps.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Latte: Use-Case and Assistive-Service Driven Automated Accessibility Testing Framework for Android.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
A benchmark for event-race analysis in android apps.
Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020

ER Catcher: A Static Analysis Framework for Accurate and Scalable Event-Race Detection in Android.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Test Automation in Open-Source Android Apps: A Large-Scale Empirical Study.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020


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