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#QA Engineers
concettolabs · 9 months
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codemify · 1 year
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How long is QA course?
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With the booming industry, QA engineers are in teh high demand in the tech market. Ongoing demand also influences many other people from other sectors who want to get hands-on experience as a QA engineer or QA tester. As many people are unfamiliar with this field, people look for a way to enter and earn well. But for them, QA courses are a better option, and the course duration depends on the person's ability to learn the skills we will discuss further. Today average salary of a QA Engineer is around $96k, which can go up to 130k per experience and skill.
Basically, this software testing QA training course is intended by working professionals to proceed from exposing you to the foundations of software testing to advanced subjects such as software configuration management, developing a test plan, test estimates, and so on over a period of 75+ hours or one month. Sometimes, people who are totally unfamiliar with the IT field and have another background may take more time to understand the concepts.
Codemify is a prominent tutor for one of the best QA Courses and offers excellent teaching in the United States. Here many have been placed in top software companies and earned handsome packages. Our institute is backed by highly qualified and experienced tutors with extensive experience in the Software market. Emphasising each issue of our students is always our first priority, and our reasonable charges attract more. Here, you will also learn how to crack the interviews and what type of QA questions companies ask. During our working tenure, almost all students got placed in top tech companies in the United States.
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wpwebinfotech · 2 years
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QA and Testing services budget for large enterprises rose to 25% of the development cost in order to maintain quality, security and improve the customer experience while not bogging down the potential for new development. Click the link https://bit.ly/3tnGtyd and get the best QA and Testing Services from our experienced QA engineers. 
#QA #qualityassurance #QualityAnalyst #testing #softwaretesting #websitetesting #qaandtesting #qaengineer #hireqaengineer #customerexperience #qatester #qaservices #automationtesting #manualtesting #RegressionTesting #SecurityTesting #wpwebinfotech
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qualizeal · 2 months
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Quality Engineering and Digital Transformation Services - QualiZeal
Our Next Gen Quality Assurance & Engineering Services pave the way for accelerated digital growth. Drive faster time to market and assure success for enterprise software in the connected world.
Visit for more info:
https://qualizeal.com/
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nekofantasia · 10 months
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Wonderful day at work today :D
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rpgprogrammers · 1 year
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michel366 · 13 days
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tripta-123 · 29 days
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Importance of Full Stack QA Training for Your IT Career
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Full Stack QA training is vital as it offers you an understanding of testing procedures, manages software cycles, and performs both front-end & back-end quality assurance. Learn these skills at CodeSquadz’s full-stack QA training to boost your career.
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neko-in-lcl · 2 months
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Maraphon of job searching is over
Finally, this week I received an offer from the company communicated before (two months ago)! It was such a relief that first of all I thought: "It's done, we now can return to our life and little calmness routine". And it's amazing!
It was really a maraphon there I was working EVERY DAY for vacancies search and preparing all the necessary information (theory, sample tasks, most difficult cases) for interviews for a month in a row >_< I didn't sleep much, left the home like 2 or 3 times max and constantly fight with enxiety.
Yes, there were a couple of companies I prefer more, but they ignored my requests & resume :( So I returned to this company again. The previous time there was a vacancy for QA engineer for a really difficult backend service, and I refuse the offer due to not wanted to leave my actual company. But things here turned not as I expected, so I have to leave it now. And there was the important factor for my job searching (a possibility to work from another countries) that I thought this company doesn't meet. But turns around, it's possible (if you're working good and colleagues don't question a quality of your work) – so I returned to them on another vacancy. It's really a unique opportunity – because it's the QA analyst position that is not a linear QA – and i thought: "Listen, you're really good at this job, and you deserve to be in this position!". So we talked with QA lead and he was happy for my return and think it's a good match. I blushed at that moment, really ^^ So it could be difficult and a new expirience for me, but I'm glad and feeling joyful. My mind is already gone to its deserved rest, and today is the first day I'll read my actual book (it's been 20 days since last time!). I just happy to rest and be not worried about money and future (in short perspective). Yay!
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ideyalabs · 2 months
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Enhancing Software Testing with AI: A Game-Changer for the Future
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The Significance of QA in Software Development
Introduction:
In the ever-evolving world of software development, ensuring that applications and systems run seamlessly is critical. Artificial Intelligence (AI) has emerged as a transformative force, revolutionizing quality assurance (QA) automation by improving efficiency, accuracy, and reliability. In this article, we'll explore how companies are leveraging AI in QA automation and delve into the latest technological trends that are reshaping the landscape.
The Emergence of AI in QA Automation
Why AI in QA Automation?
AI in Quality Assurance (QA) Automation offers several compelling advantages, making it a valuable addition to the software development process. Here are the key reasons or advantages for integrating AI into QA Automation
• Enhanced Efficiency : AI streamlines QA processes, reducing the need for manual intervention and accelerating testing.
• Improved Accuracy : AI algorithms are proficient at identifying potential issues, ensuring comprehensive test coverage.
• Cost Savings : By predicting vulnerabilities and addressing them proactively, AI saves both time and resources.
• Real-time Feedback : Integration with Continuous Integration and Continuous Testing (CI/CT) allows AI to provide rapid, real-time feedback.
• Simplified Communication : Natural Language Processing (NLP) algorithms simplify test documentation and facilitate effective communication among team members.
How is AI technology integrated into the QA process?
AI technology is integrated into the quality assurance (QA) process to enhance its efficiency, accuracy, and overall effectiveness. It serves several specific functionalities within QA, addressing various aspects of testing and validation. Here's how AI is integrated and the specific functionalities it serves in the QA process.
Specific functionalities it serves:
1. AI-Driven Test Case Generation: Algorithm Proficiency : AI algorithms have evolved to become proficient at generating test cases. They do this by analyzing the application's code and comprehending its functionality.
Reducing Manual Effort : The reliance on manual test case creation is reduced, as AI can automatically generate test cases.
Comprehensive Test Coverage : AI identifies potential issues within the application, which helps in achieving comprehensive test coverage, ensuring that various aspects of the software are thoroughly tested.
2. Predictive Analytics for Bug Detection: Machine Learning Models : Predictive analytics in AI relies on machine learning models to identify vulnerabilities, bugs, and areas of concern within the codebase.
Proactive Approach : This proactive approach allows companies to address potential issues before they escalate into major problems, ultimately saving time and resources.
3. Continuous Integration and Continuous Testing (CI/CT): AI Integration : Integrating AI into CI/CT pipelines is a game-changer for software development.
Automated Testing : AI algorithms can execute tests in parallel, ensuring rapid feedback and real-time identification of bugs.
Accelerated Development : By automating testing at each development stage, CI/CT with AI accelerates the entire software development lifecycle.
4. Natural Language Processing (NLP) for Test Documentation: Extracting Insights : NLP algorithms extract valuable insights from test plans and logs, making it easier to understand and interpret test results.
Improved Communication : This simplifies communication among team members and stakeholders, enabling them to pinpoint issues more efficiently.
5. AI-Driven Test Maintenance: Automated Updates : AI-based tools detect changes in the application's functionality and automatically update test scripts.
Reducing Manual Work : This automation significantly reduces the burden of maintaining test suites, which is often a time-consuming task in QA.
6. Automated Visual Testing: Human Vision Simulation : AI in automated visual testing simulates human vision, allowing it to identify visual anomalies in applications.
Enhanced User Experience : This ensures a polished user experience by automatically detecting issues like UI glitches or layout problems.
7. Test Data Generation: Realistic Data Sets : AI algorithms can generate diverse and realistic test data that mimics real-world scenarios.
Enhancing Accuracy : This enhances the accuracy of test results as the test data closely resembles what the application is likely to encounter in the real world.
8. Virtual QA Assistants: Chatbots and Virtual Assistants : Equipped with AI, chatbots and virtual assistants can answer common QA-related queries, guide team members, and even execute simple testing tasks.
Accessibility : This makes QA more accessible to all stakeholders, regardless of their technical background, as they can interact with these virtual assistants.
9. AI-Enhanced Performance Testing: Real-World Simulation : By doing so, they can identify performance bottlenecks and optimize application performance, ensuring that the software can handle real-world usage effectively.
Identifying Bottlenecks : By automating testing at each development stage, CI/CT with AI accelerates the entire software development lifecycle.
In conclusion, AI in QA automation is revolutionizing the software testing process by enhancing efficiency, accuracy, and overall software quality. Each of these AI-driven components contributes to a more streamlined and effective QA process, ultimately leading to better software and improved user experiences.
Emerging Tech Trends in AI QA Automation
• AI in Security Testing: With the growing threat of cyberattacks, AI is used to identify vulnerabilities and weaknesses in software security.
• AI in Mobile App Testing: As mobile applications gain prominence; AI ensures their functionality and performance across various devices and operating systems.
• AI in Cloud-Based Testing: With companies shifting to cloud-based infrastructure, AI aids in testing the scalability, reliability, and compatibility of cloud-deployed applications.
• AI in Robotic Process Automation (RPA) Testing: RPA is integral to business processes, and AI validates the functionality of bots and automated workflows.
Disadvantages of AI in QA Automation
While AI in QA automation offers numerous advantages, there are also certain disadvantages and challenges associated with its implementation.
Here are some of the disadvantages of AI in QA automation:
1. Initial Implementation Challenges: • Setting up AI-driven QA processes can be complex and require significant initial investments in terms of infrastructure, tools, and training.
• Organizations may face resistance from team members who are unfamiliar with AI technology and may require time to adapt to the new workflows.
2. Dependency on Data Quality • AI in QA heavily relies on data for training machine learning models and making predictions. If the data used is of poor quality, biased, or unrepresentative, it can lead to inaccurate results.
• Ensuring high-quality, relevant, and up-to-date training data is essential for the success of AI-driven QA.
3. Ethical and Privacy Concerns: • AI algorithms may inadvertently perpetuate biases present in the training data, which can lead to unfair or discriminatory outcomes in testing.
• Data privacy and security concerns arise when sensitive information is used for testing, and it must be handled with care to avoid breaches or compliance issues.
4. Limited Human Judgment and Creativity 5. Maintenance and Updates 6. False Positives and Negatives 7. Integration Challenges 8. Costs of AI Implementation 9. Skill Gap 10. Overreliance on AI
It's essential for organizations to carefully weigh the advantages and disadvantages of AI in QA automation and implement strategies to mitigate potential drawbacks. A well-balanced approach that combines AI's strengths with human expertise can lead to effective and efficient QA processes.
Conclusion
AI is reshaping the QA automation landscape, optimizing testing processes, reducing human intervention, and enhancing software quality. Staying current with the latest technological trends in AI QA automation is essential for competitiveness in the dynamic software development industry. By incorporating AI into your QA practices, you can streamline your processes, deliver higher-quality software, and delight your end-users.
Remember, AI in QA automation is not merely a trend; it's a transformative force that has the potential to revolutionize the way we build and maintain software systems. Embrace it and witness your software development endeavors thrive in the age of AI.
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concettolabs · 2 years
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charlessmithpost · 3 months
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QA Automation Mastery empowers teams to deliver high-quality software swiftly. Automated tests ensure rapid and precise validation, reducing manual efforts and accelerating release cycles. QA Automation Mastery is the cornerstone for efficient, error-free development, fostering innovation and customer satisfaction.
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qa-tester-in-india · 3 months
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Software tester in India
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Roles and Responsibilities:
Test Planning: Creating a comprehensive test plan that outlines the testing approach, resources, schedule, and deliverables.
Test Case Design: Developing test cases based on software requirements and specifications.
Test Execution: Running test cases, reporting defects, and retesting after fixes are implemented.
Automation Testing: Using automation tools to streamline repetitive testing tasks and improve efficiency.
Regression Testing: Ensuring that new changes do not adversely affect existing functionality.
Performance Testing: Assessing the software’s performance under various conditions.
Collaboration: Working closely with developers, business analysts, and other stakeholders to understand requirements and provide feedback.
Skills and Qualifications:
Technical Skills: Familiarity with testing tools, programming languages, and automation frameworks.
Analytical Skills: The ability to analyze requirements and identify potential areas of risk.
Communication Skills: Effective communication is crucial for reporting bugs and collaborating with team members.
Attention to Detail: Software testers need to be meticulous in identifying and documenting defects.
Certifications:
Certifications such as ISTQB (International Software Testing Qualifications Board) can enhance your credibility as a software tester.
Tools and Technologies:
Familiarity with testing tools like Selenium, JUnit, TestNG, and various defect tracking tools.
Industry Trends:
Keeping up with the latest trends in software testing, such as shift-left testing, continuous integration, and agile methodologies.
Career Growth:
With experience, software testers can move into roles such as test lead, test manager, or even specialize in areas like security testing, performance testing, or automation.
Networking and Communities:
Joining testing communities and attending conferences can provide opportunities to learn, share experiences, and stay updated on industry trends.
Adaptability:
Being adaptable to changes in technology and methodologies is crucial in the rapidly evolving field of software testing.
India has a significant IT industry, and there are ample opportunities for software testers in various domains such as finance, healthcare, e-commerce, and more. Continuous learning and staying updated with industry best practices are essential for a successful career in software testing in India or anywhere else.
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qualizeal · 2 months
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spreejobs · 4 months
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QA/QC ENGINEER - MECHANICAL Job Vacancy in Dubai, United Arab Emirates
QA/QC ENGINEER - MECHANICAL Job Vacancy in Dubai, United Arab Emirates
QA/QC ENGINEER – MECHANICAL Job Vacancy in Dubai, United Arab Emirates We are currently seeking an experienced QA/QC Mechanical Engineer to ensure the mechanical systems and components in our building projects meet the highest standards of quality and compliance. Responsibilities: Quality Assurance: Develop, implement, and maintain quality assurance plans specific to mechanical systems in…
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linussun · 5 months
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Привет. Я Лин, это мой блог о жизни.
Хочу для начала рассказать о себе, чтобы было небольшое представление, кто я такая и чем живу.
Я младшая в семье, мне 24 года. У меня есть старший брат Н. и старшая сестра К., ну и мама, и папа😂 И, конечно же, у нас есть собака Тоша и кошка Мася. У меня хорошие отношения с родителями и братом, с сестрой почти никаких, но общаемся периодически.
Да, мне 24 и я живу с родителями и сестрой, с недавнего времени ещё и брат к нам вернулся, так как расстался и съехал от своей девушки. Эту историю я как-нибудь потом расскажу😅
В данный момент я в поисках работы. Отучилась пару месяцев назад на тестировщика и пытаюсь устроиться куда-нибудь, но пока что мне не везет:( Я прошла полугодовой курс и изучаю дополнительную информацию, которую могу найти в интернете.
Вообще по высшему образованию от универа из моего города я — социальный работник, хехе
Ещё есть сертификаты законченной модельной школы, курсов массажа (классический, оздоровительный и лимфодренажный) и мастера шугаринга.
Да, не люблю сидеть на месте и всегда изучаю что-то новое, поэтому ушла с прошлой работы на почте. Подозреваю у себя СДВГ, тревожность и депрессию, но диагнозы пока не подтверждены.
Посещаю психолога, в основном сижу дома, так как на улице мне становится тревожно. Но это зависит от ситуации и компании, что-то странное, в чем я разбираюсь.
Итак, я люблю смотреть сериалы(детективы, фэнтези, ужасы и многое другое), фильмы, мультфильмы, аниме(мое любимое навсегда — это Наруто). Мне нравится вышивать, но, к сожалению, делаю это редко, ибо иногда сложно усидеть за одним и тем же, параллельно я обычно что-то смотрю. Люблю документалки и всякие видосы по серийным убийцам и фильмы снятых на реальных событиях.
Обожаю читать: книги и фанфики моё всё. Ещё я бета на фикбуке, ахах, редактирую работы авторов.
Слушаю я почти всё, кроме русской музыки(кстати, как и фильмов, и сериалов), меня она не привлекает. В основном это поп, кейпоп, рэп, хип-хоп, иногда джаз.
Пока что это всё, если что-то интересно — спрашивайте, я с радостью пообщаюсь.
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