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conneqt-digital · 3 months
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https://conneqtdigital.in/our-partners/tricentis-partner/
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Tricentis Partner - Conneqt Digital
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nous-infosystems · 6 months
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Efficiency Meets Quality: The Power of Tricentis Implementation in Continuous Testing
Tricentis Implementation: Accelerate and Automate Continuous Testing
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Current organizations strive to deliver high-quality applications at an accelerated pace. This requires efficient and effective software testing practices to ensure optimal performance and functionality. Tricentis implementation is revolutionizing the testing process by offering a comprehensive solution to accelerate and automate continuous testing, enabling organizations to achieve their software delivery goals seamlessly. This blog post will delve into Tricentis implementation and explore its benefits for agile software development.
Tricentis implementation introduces a smart and impactful analysis of software changes through intelligent test automation. With its advanced features like innovative impact analysis, regression testing, and model-based test automation, Tricentis empowers organizations to identify the impact of changes and efficiently plan their testing efforts. By automating the creation and execution of test cases, Tricentis streamlines the testing process, saving time and effort compared to traditional manual testing methods.
The Tricentis continuous testing platform is designed to integrate testing seamlessly into the agile and DevOps processes. It enables organizations to optimize and accelerate their software testing by providing real-time feedback on quality and performance. With Tricentis, teams can efficiently conduct end-to-end data integrity testing, ensuring that applications perform flawlessly across various platforms and environments. This reduces the risk of issues arising during production and enhances overall customer satisfaction.
Tricentis Tosca, a flagship product of Tricentis, is a versatile and powerful testing tool that caters to diverse software testing needs. It offers an intelligent test automation suite, enabling organizations to efficiently create and execute automated tests. With Tricentis Tosca's intuitive user interface, teams can design and manage UI tests effortlessly, ensuring maximum test coverage and accuracy. Its native testing capabilities for mobile apps further enhance the testing process, allowing organizations to deliver robust applications across multiple platforms.
One of the key advantages of Tricentis implementation is its ability to optimize and accelerate the testing process in agile and DevOps environments. By integrating seamlessly with CI/CD pipelines, Tricentis enables organizations to achieve faster software delivery cycles without compromising quality. It supports efficient test data management, allowing teams to generate and manage test data effectively, further enhancing the testing process's speed and reliability.
With Tricentis implementation, organizations can leverage the power of real-time analytics and reporting to gain actionable insights into their testing efforts. Tricentis provides comprehensive dashboards and reports with visibility into test coverage, execution results, and quality metrics. This enables teams to make data-driven decisions, identify bottlenecks, and continuously improve their testing processes for optimal results.
Conclusion
Tricentis implementation is revolutionizing the way organizations approach software testing. By accelerating and automating continuous testing, Tricentis empowers agile and DevOps teams to deliver high-quality applications at an accelerated pace. With its intelligent test automation capabilities, comprehensive testing tools like Tricentis Tosca, and seamless integration with CI/CD pipelines, Tricentis implementation is a game-changer for organizations aiming to achieve faster software delivery cycles without compromising quality.
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mckinsolusa · 1 year
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Sap Cloud Solutions
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fresherstechq · 1 year
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https://www.fresherstech.com/tricentis-off-campus-recruitment/
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woodjessica123-blog · 17 days
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7 Best Regression Testing Tools
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Regression testing ensures that new changes or updates to a software application don’t break existing functionality. Various tools can help automate and manage regression testing. Here are seven of the best regression testing tools commonly used by teams:
1. Selenium
Overview: Selenium is a widely used open-source tool for automating web browsers. It supports multiple programming languages like Java, C#, Python, and more.
Key Features:
Works with all major browsers.
Integrates with CI/CD tools like Jenkins.
Supports parallel test execution.
Extensible with Selenium WebDriver.
2. Katalon Studio
Overview: Katalon Studio is a user-friendly, all-in-one automation tool for web, mobile, desktop, and API testing. It’s great for both beginners and experts.
Key Features:
Built-in templates for common test cases.
Supports web, mobile, and API testing.
Detailed test execution reports.
CI/CD integration with Jenkins, GitLab, etc.
3. TestComplete
Overview: TestComplete is a powerful tool for automating UI testing of desktop, web, and mobile applications.
Key Features:
Supports multiple scripting languages like JavaScript, Python, VBScript.
Record-and-playback feature.
Smart object recognition.
Data-driven and keyword-driven testing.
4. Ranorex Studio
Overview: Ranorex is a robust test automation tool for desktop, web, and mobile applications. It is designed for users with minimal programming skills.
Key Features:
GUI object recognition.
Cross-browser and cross-platform testing.
Seamless integration with CI/CD pipelines.
Reporting and debugging capabilities.
5. QTP/UFT (Unified Functional Testing)
Overview: Developed by Micro Focus, UFT is a popular regression testing tool designed for functional and regression testing of various applications, including desktop and web apps.
Key Features:
Supports a wide range of applications (SAP, Oracle, .NET, etc.).
GUI and API testing in a single tool.
Advanced debugging and reporting.
Data-driven testing.
6. IBM Rational Functional Tester (RFT)
Overview: RFT is an automated functional and regression testing tool from IBM, designed for testing web-based and Java-based applications.
Key Features:
Supports script-free, visual-based testing.
Integration with IBM’s DevOps tools.
Test reuse and modularity.
Data-driven testing.
7. Tosca by Tricentis
Overview: Tosca is a model-based testing tool that helps automate end-to-end testing for complex applications.
Key Features:
Scriptless automation for non-technical users.
Support for SAP, web, mobile, and API testing.
Service virtualization and test data management.
Continuous testing integration for DevOps.
Conclusion:
Each of these tools has strengths in different areas, so your choice will depend on your team's specific needs, such as the types of applications you test, integration requirements, and technical expertise. Tools like Selenium are great for flexibility, while Katalon and TestComplete are more suited for teams that prefer easier setups with built-in features.
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Tricentis to Acquire SeaLights to Deliver AI-Enabled Solutions to Customers Within and Outside the SAP Environment http://dlvr.it/TBCgNr
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Herramientas de testing que ayudan a ser ágil
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Sígueme en LinkedIn Una herramienta de testing es un instrumento automatizado que soporta como mínimo una actividad de prueba aunque suelen ser mas como planificación,control,especificación y ejecución. Estas herramienta se pueden utilizar en cualquier test,tipo de prueba ,fase de desarrollo y ciclo de vida de desarrollo y ayudan a mejorar la eficiencia de los controles de calidad. Las metodologías de desarrollo ágil como scrum,XP o kanban tienen control de calidad y aseguramiento de calidad como otras metodologías iterativas,incrementales o secuenciales pero scrum es una metodología que se enfoca en la entrega continua ,la mejora continua y en aceptar los cambios sobre todo si va a traer valor al cliente por eso hay una serie de herramientas de control de calidad que se utilizan normalmente con esta metodología ágil y que voy a agrupar por el objetivo que tienen.
Tipos de herramientas
Análisis de cobertura de código Mide el % de código que se ha probado ,generalmente el código que hay en un método de una clase ,suele basarse en el número de caminos que se ha ejecutado del código. Este tipo de herramientas dependen del lenguaje de programación en que está escrito el código.  Estas herramientas miden la cobertura que no es mas que el porcentaje de código que se ha ejecutado de un método o de una clase de una librería. Estas herramientas crean informes de cobertura de manera automática. Estas herramientas depende del lenguaje asi para los lenguajes de java y python tenemos: -Clover que es una herramienta de analisis de cobertura de código que soporta los lenguajes de programación de java y groovy;soporta los framework de pruebas de componente Junit y TestNG y además se integra con los Intellij IDEA Y Eclipse. -Pytest-cov es un complemento gratuito de Python que se utiliza para realizar analisis de cobertura de código escrito en este lenguaje y que genera informes de cobertura de código.Lo puedes instalar desde la linea de comandos utilizando pip que es el instalador de paquetes de Python. Son herramientas que se utilizan en las pruebas de componente que se realizan en la metodología de scrum además de en otras metodologías y que son pruebas fundamentales en el control de calidad. y que ayudan a cumplir el principio noveno del manifiesto ágil. Herramientas de testing basadas en modelo Estas herramientas básicamente lo que hacen es generar casos de prueba automáticamente a partir de modelos. Los modelos se pueden representar casi con cualquier cosa como puede ser imágenes,gráficos,diagramas u otros elementos. Lo que es importante es que los requisitos se escriban de una manera que la herramienta los pueda entender. Hay herramientas que además de generar casos de prueba tambien los ejecuta ,una de las herramientas más utilizada para resto es Tricentis Tosca. Es unas herramienta muy completa porque permite automatizar las pruebas de un extremo a otro, diseñar casos de prueba, automatizarlos mediante scripts, diseñar y generar datos para las pruebas, analizar las pruebas y generar informes de las pruebas. Estas herramientas ayudan muchísimo a la hora de realizar las pruebas porque automatiza muchas actividades de pruebas y en metodologías ágiles como scrum la automatización de pruebas y de procesos es fundamental para conseguir ser ágiles y que ayudan a cumplir el principio noveno del manifiesto ágil. Análisis de código fuente Analizan el código fuente antes de ejecutarlo y lo comparan con reglas de buena codificación y generan informes para poder mejorar la calidad del código. Estas herramientas se esta volviendo imprescindibles en metodologías ágiles como scrum porque permiten encontrar defectos y vulnerabilidades en una fase temprana del desarrollo. El noveno principio del manifiesto ágil dice “la atención continua a la excelencia técnica y al buen diseño mejora la agilidad” por lo tanto estas herramientas nos ayudan a eso en cualquier metodología pero en las ágiles aún más porque favorecen la agilidad . La herramienta mas importante de este tipo es Sonarqube,una herramienta que permite analizar la calidad de un código desde un repositorio o desde un IDE, tiene versión de pago y gratuita ,también hay una versión en la nube que se llama SonarCloud, si te interesa un curso de esto en Udemy hay varios. En definitiva estas herramientas ayudan a cumplir el principio noveno del manifiesto ágil. Testing unitario Se prueba que la unidad de componente mas pequeña de un software funciona según lo diseñado, en general prueban los métodos de una clase. Se necesita de un framework y que suele poder integrarse con entornos de desarrollo integrados o IDE. Básicamente lo que se hace es que el programador o tester codifica la prueba que se ejecuta contra el código de la aplicación. Las herramientas de testing mas conocidas para java serían JUnit y TestNG y tambien mockito que se utiliza para simular llamadas a métodos externos. Estas herramientas ayudan a cumplir el principio noveno del manifiesto ágil como las otras. Gestión de incidentes Los defectos se suelen  gestionar en herramientas de gestión de incidencias ;estas herramientas de gestión de incidencias suelen integrarse con herramientas de gestión de proyectos. Suelen tener notificaciones por correo electrónico o a chat de herramientas de comunicación como Teams. La herramienta mas conocida para gestión de incidencias en Mantis ,es de código abierto, gratuita y es una aplicación web que puedes instalar en tu entorno y personalizar. Suele utilizarse para seguimiento de incidencias ,muy utilizada en telecomunicaciones . XRay es la otra herramientas mas utiliza sobre todo en proyectos con scrum u otras metodologías ágiles, se integra con Jira Estas herramientas ayudan a cumplir el principio noveno del manifiesto ágil como las otras. Ejecución de pruebas  Permiten la la creación de scripts de prueba automatizados ,es decir, permiten automatizar la ejecución de los casos de prueba. Estas herramientas se utilizan para ejecutar casos de prueba funcionales y los scripts se pueden crear utilizando un grabador o utilizando algún lenguaje de programación. Estas herramientas de testing son fundamentales para mejorar la agilidad de un proyecto y algunas de ellas son: Cypress. Es abierto, gratuito y se puede integrar con herramientas de CI como Jenkins y soporta los navegadores de Chrome, Edge y Firefox; permite automatizar las pruebas para aplicaciones web pero no soporta pruebas para móviles en mis libros escribo que sí pero no es verdad y no se integra con Appium por lo menos hasta lo que yo se. Esta basado en javascript y es más rápido que Selenium.Selenium Es abierto, gratuito y se puede utilizar con lenguajes como java, python y algunos lenguajes más ;permite automatizar pruebas funcionales y de regresión y soporta los navegadores de firefox, chrome, edge y safari. Permite automatizar pruebas sobre aplicaciones web y de móvil utilizando Appium.
Componentes de Selenium
Selenium IDE permite editar, grabar y depurar lo que se muestra en el navegador. Selenium remote control es un sistema de cliente/servidor que permite utilizar el navegador web de forma local o en otro ordenador. Selenium webdriver permite utilizar un navegador de forma local . Se inicia una instancia del navegador y así se puede controlar y realizar distintas acciones sobre el . Cualquiera de estos lenguajes son compatibles con Selenium WebDriver: PHP, Java, .Net, Perl, Ruby o Python. Selenium grid permite ejecutar varios navegadores a la vez en distintos SO.Permite ejecutar grandes cantidades de pruebas en poco tiempo.UFT Es una herramienta de pago de HP,se puede utilizar con windows y utiliza el lenguaje VisualBasic para automatizar casos de prueba;te permite automatizar pruebas sobre aplicaciones web y móviles.Katalon Studio Es una herramienta que permite automatizar pruebas en aplicaciones web ,escritorio y movil;además soporta los navegadores chrome,firefox,edge y safari y permite automatizar pruebas sobre API´s y importar colecciones de Postman. Se puede instalar en Windows,Linux y MAC y además se integra con todo tipo de aplicaciones como testlink,jira,jenkins y muchos más. Lo mejor que tiene es que pose una plataforma para pruebas online sobre distintos sistemas operativos y moviles y tiene versión gratuita y de pago. Te ha gustado hasta aquí el articulo de herramientas de testing?si quieres saber mas sobre herramientas de testing compra alguno de los libros que puedes ver en este sitio. Read the full article
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ericvanderburg · 2 months
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Tricentis Acquires SeaLights to Map Code Changes to Tests
http://securitytc.com/T9l8Pc
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metastatblog · 3 months
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Software Testing Automation Market Analysis, Size, Share, Growth, Trends, and Forecasts 2023-2030
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The Software Testing Automation Market represents a pivotal domain where innovative solutions converge to streamline and enhance the testing processes integral to software deployment. Software testing automation is not merely a facet of the tech industry; rather, it is a dynamic ecosystem driven by the perpetual quest for precision and reliability. At its core, the Global Software Testing Automation Market is a response to the escalating demands of software development and the need for rapid, error-free deployment in an era where digital prowess defines competitiveness.
Get a Free Sample Report:https://www.metastatinsight.com/request-sample/2526
Who are the largest manufacturers of the Software Testing Automation Market worldwide?
Broadcom Inc.
Capgemini SE
Cognizant Technology Solutions Corp.
IBM Corporation
Idera, Inc.
Katalon, Inc.
Keysight Technologies Inc.
Micro Focus International plc (OpenText)
Parasoft Corporation
QualiTest Group
SmartBear Software, Inc.
Tricentis USA Corp.
Worksoft, Inc.
The significance of the market lies in its role as a catalyst for expediting the software development life cycle. By harnessing automation tools and technologies, organizations can transcend the traditional constraints of manual testing, unlocking possibilities for increased speed, accuracy, and scalability in the testing phase. In this market, cutting-edge tools and platforms are continuously emerging, offering solutions that address the nuances of diverse software applications. From functional testing to regression testing, the Global Software Testing Automation Market spans a spectrum of methodologies and techniques, each tailored to meet the specific demands of modern software development projects.
Access Full Report @https://www.metastatinsight.com/report/software-testing-automation-market/2526
As businesses strive to roll out software updates and new features swiftly, the demand for efficient testing processes becomes increasingly pronounced. Software testing automation emerges as a linchpin in this scenario, allowing organizations to iterate and deploy with confidence, knowing that rigorous testing has been conducted seamlessly and comprehensively.
Global Software Testing Automation market is estimated to reach $44,573.6 Million by 2030; growing at a CAGR of 13.6% from 2023 to 2030.
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mulemasters · 3 months
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tosca ci integration with jenkins
Tosca CI Integration with Jenkins: A Guide
If you're working in software development, you know that Continuous Integration (CI) is a game-changer. It ensures that your codebase remains stable and that issues are caught early. Integrating Tricentis Tosca with Jenkins can streamline your testing process, making it easier to maintain high-quality software. Here’s a simple guide to help you set up Tosca CI integration with Jenkins.
Step 1: Prerequisites
Before you start, make sure you have:
Jenkins Installed: Ensure Jenkins is installed and running. You can download it from the official Jenkins website.
Tosca Installed: You should have Tricentis Tosca installed and configured on your system.
Tosca CI Client: The Tosca CI Client should be installed on the machine where Jenkins is running.
Step 2: Configure Tosca for CI
Create Test Cases in Tosca: Develop and organize your test cases in Tosca.
Set Up Execution Lists: Create execution lists that group your test cases in a logical order. These lists will be triggered during the CI process.
Step 3: Install Jenkins Plugins
Tosca CI Plugin: You need to install the Tosca CI Plugin in Jenkins. Go to Manage Jenkins > Manage Plugins > Available and search for "Tosca". Install the plugin and restart Jenkins if required.
Required Plugins: Ensure you have other necessary plugins installed, like the "Pipeline" plugin for creating Jenkins pipelines.
Step 4: Configure Jenkins Job
Create a New Job: In Jenkins, create a new job by selecting New Item, then choose Freestyle project or Pipeline depending on your setup.
Configure Source Code Management: If your test cases or project are in a version control system (like Git), configure the repository URL and credentials under the Source Code Management section.
Build Steps: Add build steps to integrate Tosca tests.
For a Freestyle project, add a Build Step and select Execute Windows batch command or Execute shell script.
Use the Tosca CI Client command to trigger the execution list: sh ToscaCIClient.exe --executionList="" --project=""
Step 5: Configure Pipeline (Optional)
If you prefer using Jenkins Pipelines, you can add a Jenkinsfile to your repository with the following content:pipeline { agent any stages { stage('Checkout') { steps { git 'https://github.com/your-repo/your-project.git' } } stage('Execute Tosca Tests') { steps { bat 'ToscaCIClient.exe --executionList="<Your Execution List>" --project="<Path to Your Tosca Project>"' } } } }
Step 6: Trigger the Job
Manual Trigger: You can manually trigger the job by clicking Build Now in Jenkins.
Automated Trigger: Set up triggers like SCM polling or webhook triggers to automate the process.
Step 7: Review Results
Once the build completes, review the test results. The Tosca CI Client will generate reports that you can view in Jenkins. Check the console output for detailed logs and any potential issues.
Conclusion
Integrating Tosca with Jenkins enables you to automate your testing process, ensuring continuous feedback and early detection of issues. This setup not only saves time but also enhances the reliability of your software. By following these steps, you'll have a robust CI pipeline that leverages the strengths of Tosca and Jenkins. Happy testing!
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techninja · 3 months
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The Evolving Landscape of Chaos Engineering Tools: Ensuring Resilience in Complex Digital Systems
Introduction
In today's fast-paced digital landscape, where businesses rely heavily on complex, interconnected systems, ensuring reliability and resilience has become a critical priority. Enter chaos engineering tools - software applications designed to facilitate the practice of chaos engineering, a discipline that involves controlled experiments to identify weaknesses and vulnerabilities in a system. As the chaos engineering tools market continues to evolve, it is essential to understand the key players, trends, and case studies shaping this dynamic industry.
Key Players in the Chaos Engineering Tools Market
The chaos engineering tools market is dominated by several key players, each offering unique solutions and capabilities. Microsoft (US) and AWS (US) stand out as leading providers, offering integrated chaos engineering tools like Azure Chaos Studio and AWS Fault Injection Simulator, respectively. These tech giants leverage their extensive cloud ecosystems to provide versatile and scalable chaos engineering solutions. Other notable players include OpenText (Canada), Virtusa (US), and Tricentis (US), all of which have adopted various growth strategies to strengthen their positions in the market. These strategies include product launches, contracts, partnerships, mergers and acquisitions, and new product development activities.
Trends Shaping the Chaos Engineering Tools Market
Several key trends are driving the growth and evolution of the chaos engineering tools market. One significant trend is the increasing adoption of hybrid and multi-cloud environments, which is expected to fuel the market's expansion. As organizations embrace the flexibility and scalability of cloud computing, the need for tools to ensure the resilience of these complex environments has become paramount. Another notable trend is the rise of automation in chaos engineering. Automated tools are becoming increasingly popular as they streamline complex testing procedures and enable continuous testing. By efficiently simulating chaotic events in distributed systems, these tools help identify vulnerabilities and improve system resilience. The chaos engineering tools market has also seen a surge in seed funding, which has fueled innovation and development. Startups and early-stage companies are receiving essential financial backing to create and enhance novel tools and solutions within the chaos engineering domain, further driving the market's growth.
Case Studies: Chaos Engineering in Action
To illustrate the real-world impact of chaos engineering tools, let's examine a few case studies:
Netflix: Netflix, a pioneer in chaos engineering, has been using its own tool, Chaos Monkey, to inject failures into its production systems since 2011. By simulating various failure scenarios, Netflix has been able to identify and fix issues before they impact its customers, ensuring a seamless streaming experience.
Gremlin: Gremlin, a chaos engineering start up, recently introduced the Detected Risks feature, which automatically identifies critical reliability issues such as misconfigurations in Kubernetes-based services. By categorizing these issues based on severity and offering suggested solutions, Gremlin streamlines risk identification and enables more efficient resolution of high-priority issues.
Steadybit: In September 2022, chaos engineering startup Steadybit raised $7.8 million in seed funding, signifying substantial financial support for its innovative chaos engineering solutions and future growth endeavors. Steadybit's tools help organizations proactively identify and mitigate potential weaknesses in their systems.
Conclusion
As the chaos engineering tools market continues to evolve, it is clear that these tools play a crucial role in ensuring the resilience of complex digital systems. With the increasing adoption of hybrid and multi-cloud environments, the rise of automation, and the influx of seed funding, the market is poised for significant growth in the coming years. By leveraging the capabilities of leading players like Microsoft and AWS, and embracing the trends shaping the industry, organizations can proactively identify and mitigate potential weaknesses in their systems. The success stories of Netflix, Gremlin, and Steadybit demonstrate the real-world impact of chaos engineering tools, underscoring their importance in a world driven by advanced technologies and a need for unwavering service availability. As we move forward, it will be exciting to see how the chaos engineering tools market continues to evolve and adapt to the changing needs of organizations. One thing is certain: chaos engineering will remain a fundamental practice in reliability engineering, fostering a robust knowledge base and community resources to help organizations navigate the complexities of the digital age.
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yethiconsulting · 4 months
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Streamlining QA Processes: Essential Automation Strategies for 2024
In 2024, the importance of streamlined QA processes cannot be overstated. Automation is the key to enhancing efficiency, accuracy, and speed in software testing. Here are essential automation strategies to transform your QA processes this year:
Adopt a Comprehensive Automation Framework: Choose a robust framework like Selenium or Katalon Studio that supports a wide range of applications. A well-structured framework facilitates efficient test case creation, execution, and maintenance.
Implement Continuous Integration and Continuous Testing (CI/CT): Integrate automated tests into your CI/CD pipeline using tools like Jenkins or GitLab CI. Continuous testing ensures rapid feedback and early detection of defects, enhancing overall software quality.
Focus on Test Coverage and Prioritization: Automate critical and repetitive test cases to maximize coverage. Use risk-based testing to prioritize automation efforts, ensuring that high-risk areas are thoroughly tested.
Leverage Codeless Automation Tools: Tools like TestProject and Tricentis Tosca enable testers without coding skills to create and execute automated tests. These tools reduce the learning curve and accelerate the automation process.
Utilize API Testing: Incorporate API testing using tools like Postman or SoapUI to validate backend functionality early in the development cycle. Automated API tests ensure robust integration and faster identification of issues.
Incorporate AI and Machine Learning: Utilize AI-driven tools to enhance qa test automation. AI can help in generating test cases, predicting test outcomes, and optimizing test execution, making your QA processes smarter and more efficient.
Monitor and Analyze Test Results: Use advanced reporting and analytics tools to monitor test performance. Tools like Allure or TestRail provide insights into test execution, helping teams identify trends, bottlenecks, and areas for improvement.
By implementing these essential automation strategies, QA testing can streamline their processes, reduce manual effort, and deliver high-quality software faster. Stay ahead in 2024 by embracing these advanced techniques to enhance your QA efficiency and effectiveness.
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Tricentis to Acquire SeaLights to Deliver AI-Enabled Solutions to Customers Within the SAP Environment http://dlvr.it/TB18Md
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businessindustry · 4 months
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Automated Testing Software Market Global Industry Analysis by Trends - 2032
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The Reports and Insights, a leading market research company, has recently releases report titled “Automated Testing Software Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2024-2032.” The study provides a detailed analysis of the industry, including the global Automated Testing Software Market share, size, trends, and growth forecasts. The report also includes competitor and regional analysis and highlights the latest advancements in the market.
Report Highlights:
How big is the Automated Testing Software Market?
The automated testing software market size reached US$ 5.1 Billion in 2023. Looking forward, Reports and Insights expects the market to reach US$ 10.9 Billion by 2032, exhibiting a growth rate (CAGR) of 8.8% during 2024-2032.
What are Automated Testing Software?                                                                                                                                                                            
Automated testing software comprises tools and frameworks created to automate the running of tests for software applications. It enables developers and quality assurance teams to efficiently test software functionality, performance, and security by executing pre-scripted tests. This software can mimic user interactions, detect bugs and errors, and provide comprehensive reports on test outcomes. Its use enhances testing speed and accuracy, resulting in quicker development cycles and improved software quality.
Request for a sample copy with detail analysis: https://www.reportsandinsights.com/sample-request/1735
What are the growth prospects and trends in the Automated Testing Software industry?
The automated testing software market growth is driven by various factors and trends. The market for automated testing software is experiencing rapid expansion within the software industry, propelled by the widespread adoption of agile and DevOps methodologies. This market encompasses a range of tools and platforms aimed at automating testing processes, enhancing software quality, and expediting time-to-market. Key drivers of market growth include the increasing requirement for continuous testing, the imperative to cut down testing expenses and time, and the escalating complexity of software applications. Additionally, the market is influenced by the escalating trend of digital transformation across industries, which necessitates dependable testing solutions to ensure software applications' reliability and performance. Hence, all these factors contribute to automated testing software market growth.
What is included in market segmentation?
The report has segmented the market into the following categories:
By Type of Testing:
Functional Testing
Performance Testing
Security Testing
Compatibility Testing
Usability Testing
Others
By Testing Tool:
Test Management Tools
Functional Testing Tools
Performance Testing Tools
Security Testing Tools
Codeless Testing Tools
Others
By Deployment Mode:
On-Premises
Cloud-based
By Organization Size:
Small and Medium-sized Enterprises (SMEs
Large Enterprises
By End-User Industry:
IT and Telecom
BFSI (Banking, Financial Services, and Insurance)
Healthcare
Retail
Manufacturing
Government and Public Sector
Media and Entertainment
Others
Segmentation By Region:
North America:
United States
Canada
Europe:
Germany
The U.K.
France
Spain
Italy
Russia
Poland
BENELUX
NORDIC
Rest of Europe
Asia Pacific:
China
Japan
India
South Korea
ASEAN
Australia & New Zealand
Rest of Asia Pacific
Latin America:
Brazil
Mexico
Argentina
Middle East & Africa:
Saudi Arabia
South Africa
United Arab Emirates
Israel
Who are the key players operating in the industry?
The report covers the major market players including:
IBM Corporation
SmartBear Software
Tricentis
Ranorex GmbH
TestComplete
Selenium
Appium
Sauce Labs Inc.
Parasoft Corporation
Eggplant (formerly TestPlant)
Cigniti Technologies
QualiTest Group
Broadcom Inc. (formerly CA Technologies)
Hewlett Packard Enterprise (HPE)
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ericvanderburg · 4 months
Text
Tricentis Adds Additional AI Copilots to Test Automation Platform
http://securitytc.com/T7tCL4
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