AI-driven Performance Testing Framework for Mobile Applications

The rapid proliferation of mobile applications across diverse platforms has introduced unprecedented challenges in ensuring optimal performance under varying conditions. Traditional performance testing techniques often struggle to address the complexity of mobile environments, characterized by diverse devices, dynamic network conditions, and resource constraints. This paper presents an AI-Driven Performance Testing Framework for Mobile Applications, designed to revolutionize the way performance bottlenecks are identified and addressed.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-22
DOI
https://doi.org/10.5281/zenodo.14511503
Primary Topic
Insects and Parasite Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-driven Performance Testing Framework for Mobile Applications

Zenodo (CERN European Organization for Nuclear Research)
Insects and Parasite Interactions
article

AI-driven Performance Testing Framework for Mobile Applications

article en

Abstract

The rapid proliferation of mobile applications across diverse platforms has introduced unprecedented challenges in ensuring optimal performance under varying conditions. Traditional performance testing techniques often struggle to address the complexity of mobile environments, characterized by diverse devices, dynamic network conditions, and resource constraints. This paper presents an AI-Driven Performance Testing Framework for Mobile Applications, designed to revolutionize the way performance bottlenecks are identified and addressed.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 52%
Insects and Parasite Interactions
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AI-driven Performance Testing Framework for Mobile Applications · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS