Conference Presentations
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Machine Learning and Data Science for Quality and Performance Engineering
Slideshow
Managing the quality and performance of complex systems requires more than simply executing test cases and running load tests. You need to perform careful analysis of test results and production metrics. The sheer amount of data generated in production and testing makes analysis a huge challenge that is often left wanting. With the magic of machine learning (ML) and the application of data science techniques, you have the opportunity to derive valuable and actionable information from big data. Gopal Brugalette shares the basic concepts behind ML, covering clustering, classification, and predictive analysis. He shows you how to implement algorithms using open source tools and languages like Python and R. |
Gopal Brugalette
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It's All in Your Head: Use Neuroscience to Improve Performance
Slideshow
We humans process millions of bits of information each day. In order to handle that data load, our brains have developed shortcuts to take advantage of patterns, shared knowledge, and experience. Unfortunately, sometimes those shortcuts lead us astray, causing us to draw inaccurate... |
Faye Thompson
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Agile Performance Holarchy (APH)—A Model for Scaling Agile Teams
Slideshow
A hierarchy is an organizational network that has a top and a bottom, and where position is determined by rank, importance, and value. A holarchy is a network that has no top or bottom and where each person’s value derives from his ability, rather than position. As more companies seek the... |
Jeff Dalton
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Performance Testing in Agile and DevOps Environments
Slideshow
As organizations embrace agile and DevOps delivery models, non-functional performance testing becomes a challenge. While functional validation continues to mature in Agile, many organizations are either struggling to integrate application performance into the delivery model or are... |
Syed Hossain
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The Benefits of Early Performance Testing By incorporating performance testing early in a project lifecycle, software projects have a better chance to reach better quality and meet customer expectations. Baljeet Bilkhu shows the value of early performance testing. |
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Planning to Performance Test Your App? Think Again! To complement functional validation, software teams are expected to validate performance. But, according to Jun Zhuang, you must be prepared to invest time, personnel, and resources to benefit from performance testing. |
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Implement an Enterprise Performance Test Process
Slideshow
Suddenly, application performance is important to your business, and you have been given the budget to improve it. You’re in a hurry because customers are complaining or because you expect jumps in transaction volume and your application needs to scale quickly. Do you know where to start? |
Ryan Riehle, InCycle Software
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Architect a Winning Mobile Application
Slideshow
Building mobile apps in today’s highly dynamic environment comes with great uncertainty and risk. It’s imperative to make the right design choices early on. Poor architectural decisions can make or break an app. In this technical session, Shadi Saifan focuses on the architecture and design... |
Shadi Saifan, FIS Mobile
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Real-Time Contextual and Social Relevance in Mobile
Slideshow
Personalized mobile user experience is a hot topic today because a smarter app will delight users, keep them coming back, and make your business stand out from the crowd. The extreme version of personalization is real-time contextual and social relevance. According to Jason Arbon... |
Jason Arbon, appdiff.com
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Are You Done or Done-Done? Probably one of the most frustrating roles a manager has to master is how to know the true status of work being performed. To a developer, completing 80 percent of the work may be good enough, but is it even close to being really done? Masha Nehme shows techniques you can use to verify task completion. |
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