|By Business Wire||
|February 25, 2014 08:03 AM EST||
Scott Barber, Product Owner, Load Products at SmartBear Software, leading provider of quality and performance management solutions used by more than one million software development and operations professionals worldwide, is presenting, “Reduce Late-Stage Performance Application Surprises with Lifecycle Monitoring,” at TestKIT - Testing and Test Automation Conference on Tuesday, March 4, 2014 in Arlington, VA. On Wednesday, March 5, 2014, Nick Olivo, Director of Pre-Sales Engineering at SmartBear, is presenting, “Tapping into Your AUT's Object Model.” Taking place Monday, March 3 – Wednesday, March 5, 2014, TestKIT focuses on relevant software testing topics including security, techniques and methodologies, the cloud, test automation, mobile test automation, test tool implementations, open source solutions and more.
“Reduce Late-Stage Performance Application Surprises with Lifecycle Monitoring,” Presented by SmartBear’s Scott Barber on Tuesday, March 4, 2014, 10:00 a.m. – 11:00 a.m. EST
|“Tapping Into Your AUT's Object Model,” Presented by SmartBear’s Nick Olivo on Wednesday, March 5, 2014, 10:00 a.m. – 11:00 a.m. EST|
|Crowne Plaza Hotel/Washington National Hotel, 1480 Crystal Drive, Arlington, VA 22202|
Scott Barber shares his T4APM lifecycle monitoring and trending framework designed to both dramatically reduce the risk of late-stage performance surprises and to streamline late-lifecycle load testing. When it's critical to deliver a well-performing application on-time, the first time, the traditional process of load testing the release-candidate is simply too little, too late. Nick Olivo demonstrates how to tap into the native properties and methods of applications. When starting to create automated tests, many test automators realize, to their dismay, that some of the objects within the application aren't as easy to work with as expected – buttons on ribbons aren't easily recognized, there is difficulty in figuring out how to detect tree nodes or controls embedded within a grid. He also discusses automating certain actions outside your GUI.
Scott Barber is a well-respected leader in the advancement of software testing practices, industry activist and load testing celebrity of sorts. He is best known as one of the most energetic and entertaining speakers in the industry as well as a prolific author of several books including “Performance Testing Guidance for Web Applications,” “Beautiful Testing,” “How to Reduce the Cost of Testing,” and “Web Load Testing for Dummies” as well as the author of over 100 articles on his blog, “Peak Performance.” Follow Scott Barber on Twitter @sbarber. As Director of Pre-Sales Engineering for SmartBear, Nick Olivo helps people decide on a daily basis what test automation tools are right for them. He held testing automation roles at Pragmatech Software and SkillSoft Corporation.
In January, SmartBear announced a new version of TestComplete, the company’s open test platform for easily creating, maintaining, and executing automated tests for desktop, Web, mobile and client-server software applications. TestComplete now supports automated testing of native applications for mobile phones and devices as well as mobile web applications. For more information, visit: http://smartbear.com/products/qa-tools/automated-testing-tools/.
For more information on TestKIT 2014, visit: http://testkitconference.com/.
About SmartBear Software
More than one million developers, testers and operations professionals use SmartBear software tools to ensure the quality and performance of their APIs, mobile, cloud-based and Web applications. With five million downloads and counting, SmartBear products are affordable, easy-to-use and ready for deployment. Free tools and plug-ins for automation and performance testing, code review and website monitoring are available for download on the website. Learn more about SmartBear, the company's award-winning tools or join the active user community at http://www.smartbear.com, on Facebook or follow us on Twitter @smartbear or Google+.
All trademarks recognized.
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