Mobile Applications Testing: From Concepts to Practice

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As applications for smartphones and tablets become incredibly popular, organizations encounter increasing pressure to quickly and successfully deliver testing for these devices. When faced with a mobile testing project, many testers find it tempting to apply the same methods and techniques used for desktop applications. Although some of these concepts transfer directly, testing mobile applications presents its own special challenges. Max Saperstone says if you follow the same practices and techniques as you have before, you will miss critical defects. Learn how to effectively test mobile applications, and how to add more structure and organization to generate effective test ideas to exploit the capabilities and weaknesses of mobile devices. Max shares first-hand experiences with testing mobile applications and discusses how to address various challenges. Work on real problems on your own device and learn firsthand how to be productive while testing mobile applications.

Technologie

MB
AMTutorial
4/7/2014
8:30 AM
“Mobile Applications Testing:
From Concepts to Practice”
Presented by:
Max Saperstone
Coveros, Inc.
Brought toyou by:
340 Corporate Way, Suite 300, Orange Park, FL 32073
888-268-8770 ∙ 904-278-0524 ∙ sqeinfo@sqe.com ∙ www.sqe.com

For almost a decade, Max Saperstone has been a test engineer focusing on test automation
and the continuous integration/continuous delivery process. Max specializes in open source
tools—Selenium, JMeter, AutoIT, Cucumber, and Chef. He has led several testing automation
efforts, including developing an automated suite focused on web-based software to operate
over several applications. Max also headed a major project developing an automated testing
structure to run Cucumber tests over multiple test interfaces and environments, while
developing a system to keep test data “ageless.” He is currently developing a new testing
architecture for SecureCI to allow testing of multiple interfaces, custom reporting, and
minimal test upkeep.
Max Saperstone
Coveros, Inc.

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Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Finding Java's Hidden Performance Traps @ DevoxxUK 2024

Victor Rentea

Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.

Introduction to Multilingual Retrieval Augmented Generation (RAG)

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Mobile Applications Testing: From Concepts to Practice

1. MB AMTutorial 4/7/2014 8:30 AM “Mobile Applications Testing: From Concepts to Practice” Presented by: Max Saperstone Coveros, Inc. Brought toyou by: 340 Corporate Way, Suite 300, Orange Park, FL 32073 888-268-8770 ∙ 904-278-0524 ∙ sqeinfo@sqe.com ∙ www.sqe.com

2. For almost a decade, Max Saperstone has been a test engineer focusing on test automation and the continuous integration/continuous delivery process. Max specializes in open source tools—Selenium, JMeter, AutoIT, Cucumber, and Chef. He has led several testing automation efforts, including developing an automated suite focused on web-based software to operate over several applications. Max also headed a major project developing an automated testing structure to run Cucumber tests over multiple test interfaces and environments, while developing a system to keep test data “ageless.” He is currently developing a new testing architecture for SecureCI to allow testing of multiple interfaces, custom reporting, and minimal test upkeep. Max Saperstone Coveros, Inc.

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