Software Test Automation
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Software Development and Test Automation. Why you need test automation. What you should and what you should not automate.
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William Josephson Co-founder at Solano Labs presented at MassTLC's automated testing event on June 12, 2013 at Brightcove, Boston, MA
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Machine learning in software testing
This document discusses how machine learning can be applied to various activities in software testing. It describes how machine learning works using training and test data to make predictions. Supervised and unsupervised learning techniques are discussed. Specific applications mentioned include software defect prediction, test planning, test case management, debugging, and refining blackbox test specifications. Challenges include availability of past data and finding predictable patterns, while potential steps forward include expanding machine learning to more blackbox techniques, identifying the right patterns for different test activities, algorithm analysis, and crowdsourcing.
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Test automation can help your team deliver products faster with fewer bugs.
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- It discusses how Polarion can help integrate requirements, testing and defect management and manage activities with all stakeholders.
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Cutthroat competition and customers’ expectation encourages businesses to build more powerful tools by enhancing or adding new features. Whether these changes are small or big, simple or complex, it affects the existing functionality as well and brings unexpected issues. Hence, it is important to test existing features of the application to ensure induction of new changes has not impacted them. This is called “Regression Testing”.
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This document discusses how automation is changing the testing scene by reducing challenges in manual testing. It introduces CloudTestr, an automated testing platform, and how it can reduce testing time from weeks to days through features like integrated test management, scheduled execution, and remote testing. An accelerated testing methodology is outlined involving test strategy, execution, defect management, and release. FAVExpress is introduced as a way to generate test cases based on requirements.
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This document provides an overview of automation testing. It defines automation testing as automatically testing software using test scripts without human intervention. The document discusses how automation testing aims to expedite testing, increase coverage, and improve accuracy compared to manual testing. It provides an example of how automation could be used to test an e-commerce checkout process. Key differences between manual and automation testing are outlined, and types of automation testing as well as advantages and disadvantages of waterfall and V-model approaches are covered.
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The document discusses effective test automation strategies in an agile environment. It begins by defining automated testing and its goals of reducing manual testing while still providing coverage. Success stories from companies like Google, Facebook, and Amazon are provided that demonstrate how extensive automation allows for rapid deployment schedules. The test automation pyramid concept of testing at different levels from units to APIs to interfaces is introduced. The rest of the document covers the WSO2 test automation framework, lessons learned around maintaining automation, and the benefits of continuous integration/delivery.
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Automated testing involves using automation tools to execute test case suites and compare expected and actual results to generate test reports. The goal is to reduce manually run test cases but not eliminate manual testing. Automation increases test speed and coverage since tests can run unattended. It is suitable for repetitive, tedious, time-consuming, or business critical test cases but not for newly designed or frequently changing tests. The automation process involves tool selection, scope definition, planning, development, execution, and maintenance.
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The document discusses test automation architecture and provides recommendations for building an effective architecture. It recommends prioritizing unit testing and API/service layer testing over GUI testing to create a testing pyramid. Unit tests should be isolated and test small pieces of code, while API tests can test application logic through service calls. GUI tests should be limited in number and used to test broad end-to-end scenarios, not every small scenario. The goal is to have fewer, more stable automated tests rather than many fragile tests. Following best practices like testing different layers, prioritizing types of tests, and continuous refactoring can help create a maintainable and effective test automation architecture.
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An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
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Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
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Software Test Automation
- 1. INTERSECTION OF BUSINESS, TECHNOLOGY AND INNOVATION
- 2. What Is Test Automation ● Test Automation means using an automation tool/software to execute test case. ● Test automation include preparing test data, executing test, comparing expected and actual results, and generate test reports. ● You can simply think application is testing other application.
- 3. Why Test Automation ● Save time and money ● Quicker Feedback ● Improve Release Frequency ● Risk Assessments with new changes ● Test multilingual application ● Reduce human error
- 4. Manual VS Automated Efforts Let’s take application with 200 functional tests. Each functional test execution require test data setup, comparing test results, and test results report generation. Assuming human can run 2 tests per hour, running all manually would take total 100 hours. Now let's assume, QA/Engineer take 5 hours to automate 1 functional test and with this rate it will take 1000 hours.
- 5. Return Of Investment • Sounds like lot of time and money, right? Think again! This investment pays off just after 10 executions. • How much each regression test cycle cost? Let's say if your cost for your engineer is $50/Hour (Salary + benefits) then it will cost $5000. • Many organization get return of investment within first year. Even with slower pace one should receive return of investment within 2 years.
- 6. What you shouldn’t Automate? • One off test scenario • Tests need manual intervention. • Test verification have external dependency • Non-deterministic tests • Tests which are maintenance nightmare
- 7. What you should Automate? • Test cases which take long time to execute • Test cases which test critical business functionality • Test cases that are executed repeatedly • Test cases that are very monotonous and difficult to test manually
- 8. What you should Automate? • Test cases which take long time to execute • Test cases which test critical business functionality • Test cases that are executed repeatedly • Test cases that are very monotonous and difficult to test manually
- 9. Test Automation Framework Test Automation Framework is an execution environment for automated tests. Framework is blend of various guidelines, process, practices, project structure, modularity, data set-up, result verification, report generation etc. to automate tests. Advantage of Test Automation framework • Code Reusability • Reduce maintenance cost • Library to test different application framework • Standardize process and practice • Reporting capability
- 10. Questions? Feel free to email info@thesunflowerlab.com for any additional questions. Thanks.