STARWEST 2018 - Big Data, Analytics, AI/Machine Learning for Testing | TechWell

STARWEST 2018 - Big Data, Analytics, AI/Machine Learning for Testing

Wednesday, October 3

Tariq_King
Ultimate Software
W1

Fighting Test Flakiness: A Disease that Artificial Intelligence Will Cure

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Wednesday, October 3, 2018 - 11:30am to 12:30pm

Artificial Intelligence (AI) is making it possible for computers to diagnose some medical diseases more accurately than doctors. Such systems analyze millions of patient records, recognize underlying data patterns, and generalize them for diagnosing previously unseen patients. A key challenge is determining whether a patient's symptoms and history are attributed to a known disease or other factors. Software testers face a similar problem when triaging automation failures. They investigate questions like, Is the failure due to a defect, environmental issue, or nondeterministic test script?...

Chris Colosimo
Parasoft
W5

Reduce Wait Time with Simulation + Test Data Management

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Wednesday, October 3, 2018 - 11:30am to 12:30pm

Data has become the most significant roadblock that testers face today. In fact, up to 60% of a tester’s time is spent waiting for data. Chris Colosimo shows that many factors contribute to this wait time, including internal requirements from the test data management team to pull data in the proper form, wait times for sanitized or “test-safe” data, or, most importantly, building data sets that do not exist. Compounding these challenges is the inherit complexity of today’s data. You have to be a DBA to even begin to understand the structure and relationships needed to support your testing...

Intel Corporation
Heng_Kar_Lau
Intel Corporation
W7

Marrying Artificial Intelligence with Software Testing: Challenges & Opportunities

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Wednesday, October 3, 2018 - 1:45pm to 2:45pm

Emerging technologies such as the internet of things (IoT) and cloud computing have introduced a significant software variety and complexity. Wendy Siew Wen Chin and Heng Kar Lau explain that testers are challenged to support a wide product portfolio within harsh time, resource and budget constraints. More test automation may seem to be a solution to test efficiency, however there are many inefficient hot spots throughout the test automation life cycle. Join Wendy and Heng Kar as they share their experiences from the Intel IoT team. They share how to make use of artificial intelligence (AI...

Infostretch
W13

How to Automate Testing for Next-Generation Interfaces (BOTs, Alexa, Mobile)

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Wednesday, October 3, 2018 - 3:00pm to 4:00pm

Today’s IT systems communicate with customers through multiple points of engagement and various interfaces, ranging from web, mobile, and voice to BOTs and apps like Alexa and Siri. Sanil Pillai says these systems need to provide seamless handoffs between different points of interaction—while at the same time providing relevant and contextual information quickly. To accomplish this, a team must be able to successfully pair device hardware capabilities and intelligent software technologies such as location intelligence, biometric sensing, and Bluetooth. Sanil shows that testing these...