The real Challenges of implementing Agile in the Enterprise

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Agile can be a great methodology to quickly develop better software, but while agile works well in small organizations, scaling agile for enterprises does not always run smoothly. There are many assumptions regarding Agile, while these assumptions may hold true (to some extent) in a small startup environment, they often break down when scaling up for enterprises. When that happens, things can get out of control. How to overcome this stage is the “make or break” of successfully implementing agile in your organization

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The real Challenges of implementing Agile in the Enterprise

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One of the major problems of developing new products is the fact that we assume how our users will use it. We try to think like our users and anticipate what they will do. We usually trust our gut feelings rather than real data. We think, hence we know. In today’s world of constant change – we can’t allow ourselves any crucial mistakes or wrong assumptions as it will lead to abandonment of users. Users expect nothing less than perfect when interacting with new apps and will leave immediately if they don’t understand it or have a bad experience with it. In this session, I’ll introduce the Pirate Metrics framework and how it can help you improve your product and create happy users.

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A big part of product management is working with the sales organization ensuring that they get all the information needed in order to sell your product the way you want it to be sold. Whether you are working in a start-up or in an enterprise, a strong relationship and communication between the product team and the sales can be a real game changer. You can build the best product possible but if nobody knows how to sell then it’s doomed.

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Today’s testers must test multiple aspects across a plethora of device permutations, in every network condition, while balancing quality with speed of delivery. But there’s no time to test everything. And so, we base our tests on hunches. But hunches can result in not testing key functionalities and/or environments that end up having a devastating effect on quality of the product. So what’s the answer? We need to switch from “gut feel” to evidence-based-testing, or simply put, adopt the practice of analytics to drive testing. In this session we’ll learn why and, how to start using analytics for testing your apps.

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Today’s applications are becoming more complex. From multi-layers applications, to micro-services to containers, QA & automation engineers are required to test more with less and without compromising the quality of the app. Join me and Yossi Neeman as we explain the pros & cons of testing at each of the different layers of the application and also share some best practices around Agile Testing. Everything will be demonstrated on a demo application built with the latest technology stack including NodeJS, REST APIs and MongoDB and tested using UFT 12.52.

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In QA organizations today, a tester must have technical know-how, good communication skills, and attention to detail. We know that a tester’s main responsibility is to test the software that developers develop to ensure that the product meets the quality standards expected of today’s applications. But apart from that, it’s difficult to measure what exactly makes a good tester. QA managers and their team members are constantly under pressure to test faster and more efficiently, and deliver software with fewer defects. The role and importance of QA in today’s R&D teams is evolving from simply finding defects to protecting the corporate image. As a result, your testers have to be more productive and more efficient, and change their mindset to think about quality over quantity. It’s not just about finding bugs; it’s about continuing to measure and improve, and finding the right bugs to make the end-user experience better. In this lecture I will share with you some of the key performance indicators (KPIs) that we use to measure our own testing efforts: Percentage of high/critical, escaped defects, Time to test, Defect resolution time, Percentage of rejected defects and what we’ve learned from each of them, and how our team improved its efficiency and productivity as a result.

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From open source to commercial tools - how we selected the right tool for our automation framework in several projects and products in HPE Software. Selecting the right automation framework is hard. Today, there are so many possibilities. From open source solutions (Selenium Appium, etc.), to our own developed commercial tools (QTP, UFT, Mobile Center) What was the process that we do in order to select the right automation framework. Our approach was to 1st define our needs from such a framework and we ended up with a list of 10 must have requirements for such a framework and then went on to pick the right tool. We ended up with different frameworks for different projects with a wide combinations of open source (yes, we at HP use open source) to our own tools (UFT, LeanFT, etc.)

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