STAREAST 2019 - Industry Technical Presentations
Wednesday, May 1
Software quality assurance for large-scaled projects is a challenge due to the technical complexities that arise. Such challenges include lack of familiarity with existing or new systems, simultaneous roll-outs of multinational sites and project management issues concerning diverse backgrounds and involved stakeholders. To get a closer look at some of these challenges, we detail our experience with delivering a large-scale multinational e-commerce project and discuss a strategic approach to mitigating these challenges and successfully rolling-out the project.
Usage based testing allows control over when a software regression test is carried out, what regression techniques are used, how often it is carried out, at what cost and with guaranteed execution. Usage based testing is analogous to cloud based usage models for infrastructure in the cloud via services like AWS, Google cloud, Azure etc., except that it is aimed at the testing space rather than at infrastructure.
One of the key issues is deciding which testing technique should be used and when it should be used in regression/feature testing. Also, which technique is the alternative (...
Winter is coming and so is season 8 of Game of Thrones. But what if John Snow was an application quality director, how would he defend quality? Well, bullet-proofing your application against defects is very similar to fighting an army of white walkers. Having the right test automation technology at your disposal is just as crucial as having dragon glass. Join our virtual session where Product Manager Chris Colosimo will explain key test enablement technologies John Snow would need to shift left defect detection and protect Westeros’s is most important application the “Iron Bank”.
The ongoing ASTQB "Observatory" function tracks technical and professional trends that are emerging with the potential to influence the future practice of testing./On the near-term horizon we identify challenges and opportunities from cyber-physical interconnectivity (the Internet of Things), from machine learning and related “AI” applications, and from increasingly autonomous systems ranging from robotics to automotive./Also looming are influences emerging in blockchain and quantum computing as well as other disruptive technical and professional changes that will reshape how work is done...
As engineering organizations make the shift from waterfall to Agile development practices, they find that one of the most difficult, and expensive bottlenecks to achieving true CI/CD is continuous testing. This presentation will show how to get this critical piece of your pipeline right, and properly implement automated testing in a DevOps environment. Leo Laskin, Solution Engineer at Sauce Labs, will demonstrate how to leverage test automation at scale with the Sauce Labs cloud. With access to 1,000+ browser/OS/device combinations (including mobile) to run your functional and JSUnit tests...
Although artificial intelligence is nothing new, applying AI techniques to software testing only really started to become feasible in the past year. But it’s undeniable that it will soon become part of our day-to-day quality engineering process. Before we get caught up in the excitement of the technology, let’s take a step back and assess how AI can help us achieve our quality objectives. It’s been suggested that AI could be applied to actions such as prioritizing testing and test automation efforts, generating and optimizing test cases, enhancing UX testing, reducing tedious analysis...
Today’s development teams are finally becoming agile, building code more quickly and accurately to meet the constantly changing needs of their customers and employees. Faster development is now putting pressure on teams to test code quicker, often within a 2-week sprint, while still maintaining the quality of testing required to confidently validate our software is behaving as it should. This new emphasis on shift-left testing is causing companies to evaluate new tools to get the job done faster and automate as much as possible.
Automating the design/creation/execution of tests,...
Software testing is critical to your job. With 100s of solutions used by developers, testers, and product owners, there is no one size fits all. The tool stack you choose must adapt to your personnel and development processes -- not the other way around. In a world driven by APIs and an open architecture, it is imperative that tools talk to each other in the most straightforward way possible. Join Prashant as he walks through an open testing strategy that adapts to you, enabling you to focus on what really matters to future proof your business: top-notch software quality.
Hear the five lessons learned in testing, address them, and take back valuable solutions on your journey of a modern tester! In the “Do Nots” of Testing, we explore the lessons learned in Software Testing – otherwise known as the “Do Nots”. She’ll suggest different approaches and recommendations to help you either remove them completely from your existing Software Testing team or replace them with a more meaningful approach.
Thursday, May 2
In 2018, ChroPath went from relative obscurity to adoption by over 150,000 users in 160 Countries, in over 4,000 companies. During our session we'll review what all the fuss is about and what the Launch of ChroPath 5.0 and how this fits into the broader suite of AutonomIQ market leading Artificial Intelligence driven Platform.
Interest in continuous testing has been growing for five years now — yet the more we talk about it, the more polarized the discussion becomes. Complicating the conversation is the fact that Agile and DevOps both drive the need for continuous testing, but both require distinctly different things from a quality perspective.
Join me for a lively discussion on what’s really required for continuous testing in the context of Agile and DevOps. See live examples of how to maximize testing pipeline efficiencies and walk away with tactics you can implement today.
Wait time is the silent killer of faster application delivery and nowhere is this more true than in testing. You need to be “testing early and often” while simultaneously creating practices that standardize and automate processes so they’re easier to monitor and enforce. Join this session to see how to:
· Increase your DevTesters' efficiency in building and maintaining automation assets using multiple SDKs
· Remove bottlenecks that often slow down projects and damage quality
· Accelerate feedback and visibility over pipeline execution
Today’s hyper-competitive landscape requires faster, easier and value-driven solutions that can help organizations test in a connected world. The need of the hour is mindful testing where one needs to withdraw from the clutter and take a nuanced stance for complex implementations around AI/ ML, Big Data, Agile, Automation, Mobility and IoT to name a few.Art and science of Yoga and its synergy with software testing Testing challenges in a digital world Convert your square wheels to round wheels with the third eye
While many QA teams have considered incorporating a mobile device cloud into their testing labs, the question remains whether it is better to build or to buy a ready-made device cloud solution. Mobile Labs’ Sr. Director of Product Marketing Steve Orlando has outlined five important questions QA teams need to consider when deciding whether to buy or build a mobile device cloud solution.
Functionize’s Adaptive Language Processing™ makes pain English the new language of testing. As a result, everyone from product managers to business analysts can contribute to the SDLC process. ALP™ reconnects the product and testing teams. Now, it is easy for product managers to write tests that match the real user journeys in your application. Furthermore, the gap between testing and the end customers is narrowed. Traditional test automation focuses on how the test works over what the test is trying to achieve. With ALP™, you are telling the Functionize system exactly how the system...