Mobile Test Automation with Big Data Analytics
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Organizations with a mobile presence today face a major challenge of building robust automated tests around their mobile applications. However, organizations often have limited testing resources for these increasingly complex projects, and stakeholders worry about the quality of the product. So how do you plan a mobile test automation project, recognizing the failure rate of such efforts? Discover how Tarun Bhatia used big data analytics to understand where customers spend most of their time out in the wild on their apps. See how they analyzed massive amounts of mobile usage data to create an operational model of carriers, devices, networks, countries, and OS versions. They then developed automation strategies resulting in better tests created with the right priorities. Learn how you can apply mobile automation capabilities in areas of continuous integration, performance, benchmark, compatibility, stress, and performance testing based on analytics data.
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Mobile Test Automation with Big Data Analytics
Development and test organizations face major challenges when building robust automated tests around their mobile applications. With limited testing resources and increasingly more complex projects, stakeholders worry about the risk and quality of mobile products. So how do you plan a mobile test automation project to prioritize testing resources and efforts? Tarun Bhatia used big data analytics to understand where customers spend most of their time on their apps out in the wild. See how you can analyze massive amounts of mobile usage data to create an operational model of carriers, devices, networks, countries, and OS versions. Based on real-user data, they developed automation strategies to create better tests and focus on the right priorities. Learn how you can use big data analytics to apply mobile automation in areas of continuous integration, performance, benchmarking, compatibility, stress, and performance testing.
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Many teams have a relatively easy time adopting the tactical aspects of agile methodologies. Usually a few classes, some tools introduction, and a bit of practice lead teams toward a fairly efficient and effective agile adoption. However, these teams often get “stuck” and begin to regress or simply start going through the motions—neither maximizing their agile performance nor delivering as much value as they could. Borrowing from his experience and lean software development methods, Bob Galen examines essential patterns—the thinking models of mature agile teams—so you can model them within your own teams. Along the way, you’ll examine patterns for large-scale emergent architecture—relentless refactoring, quality on all fronts, pervasive product owners, lean work queues, providing total transparency, saying no, and many more. Bob also explores why there is still the need for active and vocal leadership in defending, motivating, and holding agile teams accountable.
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This document provides guidance and tips for practitioners wanting to become published authors. It discusses types of writers, how to make contact with publications by researching submission guidelines and qualifications, and tips for writing well such as finding a topic you're passionate about, learning the publication's style, and editing with others. The document also offers exercises for attendees to practice writing story topics and headlines. The overall message is that practice is key to becoming a better writer.
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Are you running automated tests during development yet not providing automated feedback to the project stakeholders? Vikas Bhupalam approached this problem by leveraging and integrating monitoring, logging, and defect tracking systems to provide automatic feedback to stakeholders. Tests are executed using a Java-based framework, and the results are sent to a monitoring tool that shows up as traffic lights on a dashboard. The dashboard links to logs on the server that provide insights into failing tests and root causes of problems. Alerts can be triggered for specific conditions. Change requests are then automatically filed in the defect tracking system with the appropriate severity and priority set. The QA sign off in all environments is provided to DevOps and all other stakeholders in this automated process. Learn about the framework and the integration involved in bringing all these pieces together.
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Organizations are moving rapidly into mobile technology, which has significantly increased the demand for testing of mobile applications. David Dangs says testers naturally are turning to automation to help ease the workload, increase potential test coverage, and improve testing efficiency. But should you try to automate all things mobile? Unfortunately, the answer is not always clear. Mobile has its own set of complications, compounded by a wide variety of devices and OS platforms. Join David to learn what mobile testing activities are ripe for automation—and those items best left to manual efforts. He describes the various considerations for automating each type of mobile application: mobile web, native app, and hybrid applications. David also covers device-level testing, types of testing, available automation tools, and recommendations for automation effectiveness. Finally, based on his years of mobile testing experience, David provides some tips and tricks to approach mobile automation. Leave with a clear plan for automating your mobile applications.
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Thought Frameworks has a reputation of outstanding Software Testing services, providing Smart Test Automation, Performance & Functional capabilities with hands-on open & commercial testing tools.
We are working from a position of strength for consumers like Cision, CellTrust, Chegg, Scantron, Verisign, Infusion,12Twenty to name a few, operating across the US, UK & Israel. With a focus on Education, Healthcare, Media,Telecom, Banking, Insurance & Retail Sector.
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Simplify your QA processes and find innovative ways to grow your business.
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Ankur Gupta has over 5.5 years of experience in software quality assurance and testing. He has worked on projects in various domains for clients like British Telecom, TNT Express, and Greenway Health. Some of his responsibilities include test planning, case design, execution, defect logging, performance and API testing. He has expertise in Agile methodologies, tools like ALM, JMeter, SOAPUI, and technologies like SQL Server, Azure. He is skilled at requirements analysis, traceability, collaboration, and documentation. He has received several awards for his work from previous employers.
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This document summarizes the software testing services offered by Thought Frameworks Inc. They provide manual, automated, and performance testing services across various industries including education, healthcare, retail, banking, and finance. Their testing methodology is structured and customizable to clients' needs. They aim to identify defects early and reduce defects throughout the software development lifecycle.
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This document discusses continuous testing and provides an overview of key concepts. It defines continuous testing as executing automated tests as part of the software delivery pipeline to rapidly obtain feedback on release candidates. The benefits of continuous testing discussed include fast feedback, continuous visibility, and testing that matches different skill levels. It also covers topics like test authoring best practices, key performance indicators for continuous testing, and the potential future role of machine learning. Continuous testing is presented as a way to mature an organization's path toward DevOps practices.
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Service virtualization provides many benefits for both development and test teams. For testers, service virtualization empowers them to work in parallel with their development counterparts and take control of their own schedules. They no longer have to wait for development to complete their work or to get access to a restricted system such as a mainframe or a third party API. Test teams can get the basic details from dev and/or use a sample request and response pair to create a virtual service themselves. With no need to wait on others to start testing, testing can start at iteration one freeing up more time for exploratory, integration, and performance testing. With service virtualization, developers spend less time creating mocks and stubs, and more time developing and completing unit tests. The virtual services they create can be shared for additional testing, ultimately saving everybody time and effort. Join Kenneth Merkel and take the first step in adopting virtual services by learning more about what you can virtualize, how the services get created, common use cases, and adoption benefits.
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Presented at SplunkLive! Munich 2018, gaining insight on both the experience, and the "why" behind the experience.
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Experience a revolution in software testing with our AI-driven Performance Testing solutions at Cuneiform Consulting. In a world dominated by technological advancements, implementing AI is the key to unlocking unparalleled software performance. Boost your applications with speed, scalability, and responsiveness, ensuring a seamless user experience. Cuneiform Consulting leads the way in reshaping quality assurance, adhering to the predictions of the World Quality Report for AI's significant role in the next decade. Join us to stay ahead, save costs with constant AI-powered testing, and explore the boundless possibilities of AI/ML development services. Contact us now for a future-proof digital transformation!
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A Business-First Approach to DevOps Implementation
DevOps is a cultural shift aimed at streamlining intergroup communication and improving operational efficiency for development and operations groups. Over time, inclusion of other IT groups under the DevOps umbrella has become the norm for many organizations. But even broadening the boundaries of DevOps, the conversation has been largely devoid of the business units’ place at the table. A common mistake organizations make while going through the DevOps transformation is drawing a line at the IT boundary. If that occurs, a larger, more inclusive silo within the organization is created, operating in an informational vacuum and causing operational inefficiency and goal misalignment. Sharing his experiences working on both sides of the fence, Leon Fayer describes the importance of including business units in order to align technology decisions with business goals. Leon discusses inclusion of business units in existing agile processes, benefits of cross-departmental monitoring, and a business-first approach to technology decisions.
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The document summarizes a presentation about including databases in a continuous integration/delivery process. It discusses treating database code like application code by placing it under version control and integrating databases into the DevOps software development pipeline. This allows databases to be built, tested, and released like other software through continuous integration, delivery, and deployment.
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Scrum is everywhere. More than 90 percent of agile teams use it. But for many organizations wanting to scale agile, one team using Scrum is not enough. Dave West says the Nexus Framework, created by Ken Schwaber, the co-creator of Scrum, provides an exoskeleton for Scrum. Nexus allows multiple teams to work together to produce an integrated increment regularly. It addresses the key challenges of scaling agile development by adding new yet minimal events, artifacts, and roles to the Scrum framework. Dave discusses Nexus, addresses its boundaries, and explains what else is needed for agile to thrive in an organization. Dave explores how organizations have transitioned to agile, and examines their successes and challenges in implementing Scrum, how they envision scaling with Nexus, and goals for creating a Scrum Studio.
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Instill a DevOps Testing Culture in Your Team and Organization
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Testing Transformation: The Art and Science for Success
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