DOCSLIB.ORG

AI-Powered Test Automation for the Next Generation of Applications Table of Contents

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
AI-Powered Test Automation for the Next Generation of Applications Table of Contents AI-powered test automation for the next generation of applications Table of contents 1. Executive summary 3 2. Why AI-powered test automation? 4 3. AI and machine learning in context: 5 what are neural networks? 4. Three generations of test automation: 9 script-based, model-based and AI-powered 5. Integrating Vision AI with model-based test automation 19 6. Tricentis platform: Vision AI, risk AI and self-healing AI 21 7. Glossary 22 AI-powered test automation for the next generation of applications EXECUTIVE SUMMARY Tricentis Tosca, powered by Vision AI is a new, next-generation technology using advanced machine learning and neural networks that elevates test automation to a new business discipline. Unlike first generation script-based technologies which produced fragile and costly maintenance, Tosca’s Vision AI can be combined with model-based test automation to deliver faster, more resilient test automation across new tiers of technology. Core business benefits of Vision AI together with model- based test automation are: • Lower cost of maintenance • Speed to market • Reduced risk • Release predictability This whitepaper describes how Vision AI sees and steers elements on virtually any technology – from cloud-native, enterprise apps, to simple designs and mockups. This allows tests to be maintained with zero code in a human-readable model that anyone can understand and adopt. As such, Tosca eliminates the maintenance issues inherent in traditional testing methods, allowing organizations to deliver blazing-fast software innovation across their entire digital landscape. WHY AI-POWERED TEST AUTOMATION? In the year 2018, Tricentis developed the hypothesis that if we are to truly shift testing to the left – that is, build automation before the UI is created, as well as create resilient automation for modern applications that get updated daily, it will require a dynamic approach that entirely separates an application’s technical layer from automating it. In other words, only if we completely remove the need for technical identifiers (such as Class, ID, XPath etc.) and replace it with visual identifiers driven by AI-powered automation, will it truly deliver resilient test automation that keeps up with perpetual technological change. Why did Tricentis take a new approach by adding AI-powered test automation and build it on top of model-based test automation approach? AI-powered test automation is our response to the rapid rise of modern applications that are built on new tiers of technology from cloud native applications, microservices to containers. These new applications get updated daily, and script-based testing approaches have been unable to keep up. At the same time, what we witness in our customer’s portfolios is a mixture of modern and legacy systems that are often integrated in complex ways. A small change in one system can have rippling effects in other integrated technologies. According to MuleSoft (2020), the average organization uses more than 900 applications today. And a single transaction can touch more than 82 types of technologies. The terrible truth is that very few companies have real end-to-end tests, and those that do – the tests are not running when they are most needed. UI automation also continues to be a bottleneck in quicker testing, and agile delivery. The vision of Behaviour Driven Development (BDD) was to enable automation to be written by the business prior to the product existing. This was a struggle due to the fact that the automation is only ever written after the User Interface (UI) of an application is built. As a result, UI automation continues to be slow, and being slow is costly. The sooner you find a bug, the cheaper it is to fix it. This is why it is essential to test as early as possible in the development lifecycle – before the UI is created. To keep up with an ever-changing application landscape, and enable organizations to cope with their modernization initiatives, at Tricentis, we present Tricentis Tosca powered by Vision AI, the next evolution in test automation. Vision AI is a patented deep learning technology that delivers stable, self-healing, platform agnostic UI automation. Together with Tosca’s model-based test automation and Vision AI, organizations can reduce modernization costs and efforts, as well as build resilient end-to-end testing that extends across platforms and technologies. tricentis.com © 2021 Tricentis USA Corp. All rights reserved | 4 AI AND MACHINE LEARNING IN CONTEXT: WHAT ARE NEURAL NETWORKS? Artificial intelligence (AI) as a concept is ubiquitous in technology, business, science, medicine, economics, and many more other fields. The word “AI” is so commonplace nowadays that readers are usually expected to understand from context what is meant. However, there are common misconceptions on AI and machine learning (ML) including algorithms, as well as ways in which ML technologies learn over time. These concepts have implications on what the AI technology can claim to do and which future challenges it can solve. Let’s clear some air and define some of these concepts below. Artificial Intelligence vs. Machine Learning Think of artificial intelligence (AI) as the umbrella term and machine learning (ML) as a sub-component of AI. Broadly speaking, artificial intelligence is anything that can perform intelligent tasks that would normally require a human to do. This loose definition makes AI applicable to all sorts of areas like big data analysis, predictive analysis, SQL queries analysis and more. Machine learning, on the other hand, is a system that “continuously learns” and “improves” over time given more “experience”. This is quite an important differentiator as over time, machine learning systems will become more future proof. Consider the following example: your task is to find the fastest route from A to B. tricentis.com © 2021 Tricentis USA Corp. All rights reserved | 5 A machine learning system would know the problem (A) and the result (B), but not the part in the middle, that is, how to get there. The part in the middle is what you are expecting the ML system to “learn”. What is the difference between ML and an algorithm? An “algorithm” works differently to ML as it involves expertise and knowledge being added into a system in order to solve a particular problem. In the example above, an expert would use an algorithm to instruct the system how to get from A to B. The system is therefore only as smart as the knowledge or expertise that we build into it. What are neural networks? Figuratively speaking, a neural network works like a randomly configured “brain”. It is composed of an interconnected web of neurons which talk to each other. Similar to the brain – as you grow, learn and expose yourself to more experience, the chemistry of the brain changes. Certain pathways reinforce and certain pathways die off. The goal of neural networks, therefore, is to mimic the brain – or as IBM coined it in 2001, model the behavior of a computing system against the human autonomic nervous system (ANS).2 How does a neural network learn? Consider the task of catching a ball. We get an input from our eyes and the motor neural response to our hand. With time, you learn to catch the ball more effectively because the pathways in between your neurons are either reinforced or weakened based on the feedback of the result. Artificial neural networks work in the same way. We train the system by feedbacking it with a set of problems and solutions, and punishing or rewarding the system if the response is correct or wrong. 2 In 2001, IBM coined the term „autonomic computing” and modelled their approach against the human autonomic nervous system (ANS). The ANS regulates critical bodily functions such as homeostasis without conscious involvement. Applying this idea to computing, systems should adapt to their environment through self-configuration, self-optimization, self-protection and self-healing. References from: https:// www.aitesting.org/ tricentis.com © 2021 Tricentis USA Corp. All rights reserved | 6 To train a machine learning system to correctly deal with problems or tasks, we need to feed it with lots of training data. Training data is usually a large set of examples, and these should include: • Examples of good results • Examples of bad results • The ability to update our system Have a look at these images: It’s not rocket science to figure out that these are images of airplanes, despite seeing some of them for the first time. Simiarly, we train the system to figure out that this is an airplane because we feed it with large amounts of human labelled data and punish or reward the system based on the output given. Labelling data is the process of naming each individual image with a label such as “text_field”, “search_ button”, “scroll_down_menu”. Finally, all of this labelled training data is passed onto a machine learning system and we say to that system to ‘train’. The ML system starts randomly guessing the correct label for each object. If it is correct, it remembers how the pathways were modelled. When it is wrong, it remodels those internal pathways and tries again. This process happens thousands of times until it can correctly identify most labels for objects. What are the different ways in which a machine learning system learns? ML can learn through various techniques, like supervised, unsupervised or reinforced learning. The process we explained above is referred to as supervised learning. This involves feeding the system with many examples, rewarding and punishing the system based on the output given until it eventually reproduces the correct output. The downside of this approach is that you need accurately labeled data, which is a labor-intensive process. In unsupervised learning, you do not require labelled data.
Load more

Recommended publications
  • Tricentis Tosca Mobile Testing
    DATASHEET Tricentis Tosca Mobile Testing Overview Key Benefits Today’s enterprises are developing and deploying new “customer Mobile testing without programming experience” enhancements via mobile apps at an unprecedented Tricentis Tosca lets you create mobile tests in the same way rate. How can you ensure that each mobile interface is robust that you create UI and API tests—just drag and drop. You gain and seamlessly interacts with the functionality provided by your the power of Appium, the industry-standard mobile testing tool, core applications—especially when “mobile” transactions span without having to deal with Appium’s technical complexity. mobile, APIs, and other components that might all be evolving No complex setup or scripting is required. at different paces? Fully integrated into Tricentis Tosca Tricentis Tosca’s Mobile Engine 3.0 is designed to help testers There’s no need to have a disparate assortment of standalone integrate mobile testing into their broader testing strategy. By tools for testing each part of your enterprise system landscape. pairing the power of Appium with Tricentis Tosca’s Modelbased Tricentis Tosca provides you with a single platform that tests your Test Automation, we help you rapidly create mobile tests and use native, hybrid, and web applications for iOS and Android inde- them as building blocks for end-to-end test scenarios that might pendently and as part of multi-channel (e.g., mobile + API + SAP…) involve mobile, APIs, SAP, and other enterprise technologies. end-to-end test scenarios. You can start running test cases by first simulating data on your mobile device, followed by checking the data in your back-end system using a web service or database interface.
    [Show full text]
  • DIRECTOR's REPORT September 21, 2017
    DIRECTOR’S REPORT September 21, 2017 SUMMER PROGRAMMING The 2017 Summer Reading Club (SRC), Read Up! Rise Up! by Design, utilized key aspects of the design thinking methodology in the development of the SRC program curriculum. Design thinking, as it relates to program development, seeks to identify creative solutions to problems by utilizing solution-based strategies. In an ideal setting these creative strategies ultimately result in a constructive resolution to an identified problem or challenge. The design thinking methodology is used in a variety of disciplines i.e. urban planning, web development, education etc. Programming content focused on S.T.R.E.A.M (Science, Technology, Reading, Writing, Engineering, Arts and Math) related subjects. Throughout the summer program participants participated in variety of enrichment activities that promoted creative thinking, problem solving, reading, writing and other forms of creative expression. Summer Reading Club registration began May 15th, 2017 with the contest and associated programming continuing for 9 weeks (June 5th – August 5th). 10,156 students registered for this year’s SRC with 5,286 participants completing. The 2017 completion rate continued its upward trend with 52% of all participants completing the program. The Cleveland Public Library received generous financial and in-kind support from the Friends of the Cleveland Public Library Foundation, The Cleveland Museum of Art, The City of Cleveland, Cleveland Fire Department, Cleveland Metropolitan School District, United Way of Greater Cleveland, Greater Cleveland Food Bank, KPMG, Mitchell’s Ice Cream, McDonalds, and Georgio’s Pizza. The Library was also the recipient of multiple book grants that enabled children to receive free books for participating in the program.
    [Show full text]
  • Alternatives to Mvc for Web Applications
    Alternatives To Mvc For Web Applications Cleveland twins her perambulation inly, she repulsed it tails. Sporty and protracted Morly lionizes skeptically and distilling his exotics upwardly and sanctifyingly. Intranational and sonsy Woodman still revisit his phelloderm somnolently. We offer vendors absolutely not for mvc promoted using dependency injection, view system and double click on. Web application framework which sheet a modelviewcontroller MVC. Vue is with excellent alternative framework to hustle and leverage as society need. Artisan console tab or http handler has no more streamlined for software components are alternatives to. At the application for no, we have better have to check if they come to connect you will tell what data. Api rest of time and validation components like this power a more direct instantiation of applications to for mvc web layer and examples of asp update this discussion comes at the model. In mvc pattern never be useful, mobile application will only difficult. 10 Node Frameworks to vent in 2019 Scotchio. What a point many systems too much more community will surely help you can modify or surnames of. Wrong way for web application to work on azure active scan does. The alternative to for. Which is for mac support for quick and quicker manner without obscuring node modules. React Flux vs MVC Javatpoint. Why MVC is better probe the Web Form C Corner. In any subscribed parties within asp update panels are. This web mvc frameworks and you and double detection after development of. Database for the alternate form of the asynchronous technique. 11 Python Frameworks for Web Development In 2021.
    [Show full text]
  • Secure Programming Practices Lecture 5 Error Handling
    SWE 781 Secure Software Design and Programming Error Handling Lecture 5 Ron Ritchey, Ph.D. Chief Scientist 703/377.6704 [email protected] 0 Copyright Ronald W. Ritchey 2008, All Rights Reserved Schedule (tentative) Date Subject Sep 1st Introduction (today) ; Chess/West chapter 1, Wheeler chapters 1,2,3 Sep 8th Computer attack overview Sep 15th Input Validation; Chess/West chapter 5, Wheeler chapter 5 Sep 22nd Buffer Overflows; Chess/West chapters 6, 7; Wheeler chapter 6 Sep 29th Class Cancelled Oct 6th Error Handling; Chess/West chapter 8; Wheeler chapter 9 (9.1, 9.2, 9.3 only) Oct 13th Columbus Recess Oct 20th Mid-Term exam Oct 27th Mid Term Review / Major Assignment Introduction; Privacy, Secrets, and Cryptography; Chess/West chapter 11; Wheeler chapter 11 (11.3, 11.4, 11.5 only) Nov 3rd Implementing authentication and access control Nov 10th Web Application Vulnerabilities; Chess/West chapter 9,10 Nov 17th Secure programming best practices / Major Assignment Stage Check ; Chess/West chapter 12; Wheeler chapters 7,8,9,10 Nov 24th Static Code Analysis & Runtime Analysis Dec 1st The State of the Art (guest lecturer) Dec 8th TBD (Virtual Machines, Usability [phishing], E-Voting, Privilege Separation, Java Security, Network Security & Worms) 1 Copyright Ronald W. Ritchey 2008, All Rights Reserved Today’s Agenda * . Error Handling, What could possibly go wrong? . Handling return codes . Managing exceptions . Preventing resource leaks . Logging and debugging . Minor Assignment 3 * Today’s materials derive heavily from Chess/West, Securing Programming with Static Analysis 2 Copyright Ronald W. Ritchey 2008, All Rights Reserved Error Handling: What could possibly go wrong? 3 Copyright Ronald W.
    [Show full text]
  • Sell-1647C , Stratiform, Massive Sulfide, Sedimentary Deposits
    CONTACT INFORMATION Mining Records Curator Arizona Geological Survey 416 W. Congress St., Suite 100 Tucson, Arizona 85701 520-770-3500 http://www.azgs.az.gov [email protected] The following file is part of the James Doyle Sell Mining Collection ACCESS STATEMENT These digitized collections are accessible for purposes of education and research. We have indicated what we know about copyright and rights of privacy, publicity, or trademark. Due to the nature of archival collections, we are not always able to identify this information. We are eager to hear from any rights owners, so that we may obtain accurate information. Upon request, we will remove material from public view while we address a rights issue. CONSTRAINTS STATEMENT The Arizona Geological Survey does not claim to control all rights for all materials in its collection. These rights include, but are not limited to: copyright, privacy rights, and cultural protection rights. The User hereby assumes all responsibility for obtaining any rights to use the material in excess of “fair use.” The Survey makes no intellectual property claims to the products created by individual authors in the manuscript collections, except when the author deeded those rights to the Survey or when those authors were employed by the State of Arizona and created intellectual products as a function of their official duties. The Survey does maintain property rights to the physical and digital representations of the works. QUALITY STATEMENT The Arizona Geological Survey is not responsible for the accuracy of the records, information, or opinions that may be contained in the files. The Survey collects, catalogs, and archives data on mineral properties regardless of its views of the veracity or accuracy of those data.
    [Show full text]
  • SAP S/4HANA Migration Guide Key Steps for Faster, Safer SAP Updates
    SAP S/4HANA Migration Guide Key Steps for Faster, Safer SAP Updates Tricentis | SAP S/4HANA Migration Guide | 1 SAP customers face a major challenge when migrating their businesses to S/4HANA. While upgrading to S/4HANA promises many benefits, it is not without risk. Not only will the migration impact SAP applications, but also the customizations and connected technologies (UIs, APIs, mobile, databases, third-party applications, etc.) that collectively run your business. Poorly planned migrations can lead to cost overruns, system downtimes, security lapses, and other serious business consequences. And the migration is only the beginning. With S/4HANA, SAP is promising more frequent SAP updates than ever before. To prepare for these updates, organizations need to be confident that their development, testing, and training processes can handle the speed and scope required to implement these updates safely, without risk to the business. Whether your migration approach is a new implementation (greenfield approach) or system conversion (brownfield or bluefield approach), this guide will show you how to gain certainty in your roadmap to S/4HANA and avoid false starts and unexpected costs along the way. In this guide, we’ll cover the 4 crucial steps to a successful S/4HANA migration: 1. Get a custom S/4HANA migration assessment to identify the technical and business risks involved. 2. Identify the testing needed to address those risks. 3. Optimize your test suite for resilient, risk-based testing. 4. Use a continuous testing platform to automate and accelerate ongoing testing. 1. Get a Custom S/4HANA Migration Assessment Like a crystal ball, a S/4HANA migration assessment lets you see into the future.
    [Show full text]
  • Enterprise Test Automation Speed Changes Everything
    Enterprise Test Automation Speed changes everything. Today’s enterprises are undertaking digital trans- ly driven by AI. It addresses both agile develop- formation to boost speed, agility, and innovation, ment and complex enterprise apps—increasing while keeping an eye on costs. Yet, traditional soft- software delivery speed, reducing costs, and im- ware testing hasn’t evolved with the new world of proving quality. Now, testing takes just minutes Agile and DevOps—not to mention the complexity or hours instead of days or weeks, while being far of large, enterprise apps— and has become the more cost effective and highly accurate. This kind #1 barrier to software release speed and agility. of enterprise automation drives massive efficiency Enter Tricentis. We offer a new and fundamentally and speed gains. And the potential of digital trans- different way to tackle software testing, dramati- formation becomes abundantly clear. cally accelerating software delivery. Our approach is totally automated, fully codeless, and intelligent- Platform Benefits ACCELERATE RELEASE SPEED REDUCE TESTING COSTS INCREASE SOFTWARE QUALITY Leveraging artificial intelligence Our platform is AI-driven and Boost release confidence and and the efficiencies of the codeless, helping you eliminate obtain business risk coverage cloud, you can accelerate soft- error-prone manual testing >85%. The quality of your soft- ware delivery by reducing test and achieve end-to-end test ware goes up. The stress of cycle times as much as 80%. automation rates >90% to re- your day goes down. duce costs. >80 >90 >85 %FASTER %TEST AUTOMATION %RISK COVERAGE © 2021 Tricentis USA Corp. All rights reserved 1 The World’s #1 Testing and Automation Platform ADVANCED ANALYTICS ro Proect and Portfolio iiilit ontino etin and Atomation Platform Anale anae Atomate Assess Risk Design and Build Execute at Scale Reduce testing efforts by exposing risks Design manual, open source and Scale ditrited endtoend tetin in critical business processes nocode atomated tet from mainframe to moile A.I.
    [Show full text]
  • Where Does Selenium Fit in an Enterprise Quality Strategy?
    Where Does Selenium Fit in an Enterprise Quality Strategy? Tricentis | Where Does Selenium Fit in an Enterprise Quality Strategy | 1 “Selenium is the de facto standard for front-end test automation of modern web technologies due to the flexible and powerful browser automation capabilities of WebDriver…It’s a sophisticated tool that isn’t easy to learn. It requires your team to have programming expertise and familiarity with object-oriented languages.” - Sean Kenefick, Gartner, in “A Guidance Framework for Automating Your Front-End Web Testing Using Selenium” “Currently, open-source solutions are mainly oriented toward developers and focused on web and mobile technologies, making them somewhat specialized and not appropriate for all testing needs.” - Joachim Herschmann and Thomas Murphy, Gartner, in “Magic Quadrant for Software Test Automation” There’s no doubt that Selenium has earned its spot as the de facto standard for web browser automation. Selenium is well-suited for web UI development teams where testing is conducted by developers or testers who are well-versed in a programming / scripting language. Yet, Selenium is not a test automation panacea. When you move beyond this sweet spot and try to scale Selenium across a large enterprise, several hurdles emerge: • Testing end-to-end business transactions • Conquering the learning curve • Managing brittle scripts • Controlling the Total Cost of Testing This paper explores those challenges—and how to address them so that Selenium can play a key role in a broader enterprise-level quality strategy. Testing end-to-end business transactions Selenium only automates web browser interactions—it cannot test end-to-end business transactions.
    [Show full text]
  • Componentone Upload for ASP.NET Wijmo
    ComponentOne Upload for ASP.NET Wijmo Copyright 1987-2012 GrapeCity, Inc. All rights reserved. ComponentOne, a division of GrapeCity 201 South Highland Avenue, Third Floor Pittsburgh, PA 15206 • USA Internet: [email protected] Web site: http://www.componentone.com Sales E-mail: [email protected] Telephone: 1.800.858.2739 or 1.412.681.4343 (Pittsburgh, PA USA Office) Trademarks The ComponentOne product name is a trademark and ComponentOne is a registered trademark of GrapeCity, Inc. All other trademarks used herein are the properties of their respective owners. Warranty ComponentOne warrants that the original CD (or diskettes) are free from defects in material and workmanship, assuming normal use, for a period of 90 days from the date of purchase. If a defect occurs during this time, you may return the defective CD (or disk) to ComponentOne, along with a dated proof of purchase, and ComponentOne will replace it at no charge. After 90 days, you can obtain a replacement for a defective CD (or disk) by sending it and a check for $25 (to cover postage and handling) to ComponentOne. Except for the express warranty of the original CD (or disks) set forth here, ComponentOne makes no other warranties, express or implied. Every attempt has been made to ensure that the information contained in this manual is correct as of the time it was written. We are not responsible for any errors or omissions. ComponentOne’s liability is limited to the amount you paid for the product. ComponentOne is not liable for any special, consequential, or other damages for any reason.
    [Show full text]
  • Superintendent United States Air Force Academy
    Superintendent United States Air Force Academy Lieutenant General Michelle Johnson United States Air Force Over the past year, I have witnessed our USAFA cadets respond with excellence to increasing amounts of responsibility—truly on track to become leaders of character. Taking responsibility for your actions extends to all avenues of the cadet experience. This handbook is an indispensible tool for your journey towards becoming an outstanding lieutenant for our Air Force; in one volume, it integrates the classroom, the squadron, the athletic field, and the airfield into a course of study intentionally and uniquely designed for the Air Force Academy. The Air Force Academy offers an experience unlike any other; and I am confident that through this experience, each of you will find a strong footing. Through the intense, four-year immersion experience you will graduate with a solid understanding of the Air Force mission in air, space, and cyberspace; your strong liberal arts education, infused with critical STEM competencies, will be further enhanced by the character and leadership development that guides each of you on a path to living honorably; and the competitive opportunities and exposure to Air Force professionals build critical leadership skills and reinforce the Airman ethos at every opportunity. As you transform the myriad development opportunities at USAFA into becoming outstanding second lieutenants for our Air Force, let this handbook serve as your guide in navigating the details of that journey and to holistically cultivate your Academy experience. Commandant of Cadets United States Air Force Academy Brigadier General Stephen Williams United States Air Force Our mission at USAFA is to educate, train and inspire you to become officers of character.
    [Show full text]
  • Overview of the Clients for AS a Client for Every Need
    Overview of the clients for AS A Client for every need . Why would you want more than one client for AS? . Different users have different needs: . Just run existing AS applications . Develop and maintain AS applications . Use AS commands for ad-hoc data analysis . Do further analysis of AS data on a PC . Combine with data from other sources . Use AS data/output in third-party software . Not able to use a 3270 user interface 2 Existing and New Clients for AS . 3270 AS Client . Shuttle AS Edition . Ascent Clients . Client Connections 3 3270 terminal emulation . How the majority of AS users have used AS in the past . Requires a 3270 emulator such as Rocket BlueZone or IBM Personal Communications . Best UI of any 3270 product! 4 Rocket.Ascent . Ascent is the new Rocket AS software that can run on multiple operating system platforms . There are two main components: . Ascent Client – user interface for end-users and AS developers . Client currently requires AS v6.3 . Ascent Server* – application server which client connects to and where AS procedures execute . The Client is available now, the Server is in development 5 Ascent Developer Client (Windows / Linux) . Built-on Eclipse, the popular Java-based development environment . Highly customizable user interface for a layout and style that suits you . Edit multiple procedures and data tables etc . Significant productivity gains for AS developers and power users 6 Ascent Viewer Client (Windows/Linux) . Great for PC users who just want to use an existing AS application . AS applications get an attractive modern PC style without any code changes .
    [Show full text]
  • Software Testing Reinvented for Agile and Devops
    Tricentis: Software Testing Reinvented for Agile and DevOps Tricentis accelerates software testing for digital transformation. Our industry-leading Continuous Testing Platform provides auto- mated insight into the business risks of your software releases—transforming testing from a roadblock to a catalyst for innovation. #1 Continuous Testing Platform— Accelerate Cloud, SAP, Agile, and DevOps Initiatives Agile Automated Distributed Dev Testing Continuous Testing Load Testing Open source testing and agile test Resilient regression testing at the Cloud-based performance testing management speed of change labs on-demand Tricentis Analytics Cross Project and Portfolio Visibility Benefits Expose change impacts in minutes with advanced, resil- Accelerate release cycles by orchestrating and scaling ient test automation optimized for 150+ technologies testing efforts across your teams, projects, applications, Modernize testing across SAP and packaged apps and tools (including open source) with the most comprehensive testing solution for the Reduce risks with centralized visibility/traceability, intelligent enterprise predictive analytics, and “release readiness” dashboards Results >90% 5X >80% Test Automation Testing Speed Increase Risk Coverage www.tricentis.com © 2019 Tricentis GmbH. All Rights Reserved In the News Sample Customers DEC 3, 2018 Tricentis Named a Leader in the 2018 Gartner Magic Quadrant for Software Test Automation for Fourth Year in a Row NOV 18, 2018 The 18 Hottest Companies in Enterprise DevOps JUNE 20, 2018 Recognized as
    [Show full text]