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By Smartesting
Test design is at the heart of effective testing, a crucial process that can make or break your software quality. Why invest time and resources in managing, executing, maintaining, and automating test cases if they don't directly address business needs or mitigate production risks?
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By Mariana Santos
Software quality has evolved over time. Initially, the focus was on finding and resolving defects prior to a product launch. As technology advanced, the emphasis shifted towards maintaining quality across the whole development process, particularly with the rise of Agile and DevOps methodologies. Quality is now approached proactively, encompassing all phases of the product lifecycle - from planning to deployment.
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By Mariana Santos
AI is becoming a part of our everyday lives, and in the software testing industry, it is starting to show its impact as well. Traditional testing methods can often happen at a later stage of the development life cycle, which may present challenges for meeting the demands of modern software delivery. This is where shift-left testing comes to shine. This testing methodology has become one of the most used strategies for delivering high-quality software without missing bug findings along the way.
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By Beatriz Biscaia
Traditional testing approaches can struggle to keep up with the dynamic nature of modern development cycles. While effective in certain contexts, these methods may miss some defects, which can lead to costly fixes, customer dissatisfaction, and damage to the product's reputation. The problem lies in the limitations of scripted testing, which might lack the flexibility required to identify novel defects.
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By Beatriz Biscaia
Combining Artificial Intelligence and human intelligence in testing becameessential for delivering high-quality products quickly and efficiently. AI excels at automating repetitive tasks, analyzing vast datasets, and improving test coverage. Humans, on the other hand, bring creativity, critical thinking, and the ability to handle complex scenarios that machines can’t easily navigate. Together, they form a powerful synergy that enhances speed and accuracy in testing but also brings challenges..
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By Mariana Santos
While still in its early days, artificial intelligence is becoming a driving force behind innovation in software testing. While automation has improved testing efficiency, AI can take it further by influencing critical decision-making. Rather than reacting to issues as they arise, teams can now identify potential problems earlier in the development cycle. In this article, we’ll explore how artificial intelligence can help teams rethink their testing strategies.
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By Ivan Filippov
The dynamic landscape of product development continuously increases the scope of what is demanded from quality engineering (QE) professionals. So, it is not surprising that workplace learning and upskilling are critical to the organizational success, as highlighted by Workplace Learning Report: Without a doubt, the more technical side of the skill spectrum - e.g.
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By Beatriz Biscaia
The exploratory tester's role goes beyond finding bugs. It involves understanding user behavior, improving software quality, gathering feedback, and refining testing strategies. As an exploratory testing expert, you are an investigator who understands the software, uses creativity and intuition to guide the session, and discovers new ways to uncover hidden issues.
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By Mariana Santos
Pipelines for continuous integration and continuous deployment, or CI/CD, are critical for contemporary software teams that aim for speed and agility. These pipelines, which automate the integration, testing, and deployment of code changes, enable teams to release new features and improvements quickly. There are obstacles involved in creating an effective CI/CD pipeline, though. This article explores common obstacles teams face in CI/CD implementation.
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By Ivan Filippov
Increasingly digital consumption of products and services, along with the shift to remote work and education, have significantly affected how software is developed and tested. According to Deloitte’s “2023 Quality Engineering Trends” report, “new technologies” is still the top factor driving testing spend.
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By Xray
Lewis Prescott helps us answer this question. But... we want to hear yours too! Do you use AI for your API testing sessions?
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By Xray
Lewis Prescott helps us define what contract testing really means. What's your take on it?
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By Xray
In this episode of QA Therapy, Lewis Prescott dives deep into the world of API testing and exploratory testing! Lewis shares his insights on how these two testing methods can be combined to enhance the quality of your software and speed up your testing cycles. Tune in to hear: The fundamentals of API testing How exploratory testing plays a key role in discovering issues early Practical tips for integrating both approaches into your testing strategy.
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By Xray
Lewis Prescott explains how it ensures systems communicate seamlessly and reliably. Want to optimize your testing process? Start here!
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By Xray
Leandro Melendez (Señor Performo) says that Exploratory Testing is not just about what you find but how you found it. Why does it matter? Knowing where you clicked and the paths you took ensures reproducibility. Observability gives you the visibility to connect actions to outcomes.
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By Xray
The team is thrilled to welcome back Leandro Melendez, aka Señor Performo, for his second appearance on the show! Last time, it was all about performance testing, but now, Leandro is here to explore the powerful combination of performance testing AND exploratory testing. With nearly 20 years of IT experience and a decade dedicated to performance testing using top-tier tools like Roller, NeoLoad, and more, Leandro shares his insights on.
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By Xray
Leandro Melendez, Sr Performo, explains: User Path – Follow the system’s intended flow. Toddler Path – Push every button and test the limits. Discover why combining these methods unlocks better quality. Watch and test smarter!
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By Xray
In this episode, we sit down with Ash Winter, seasoned community-focused tester, coach, and co-author of Team Guide to Software Testability. Ash brings his wealth of knowledge to discuss how testability isn't just about testing, but a team effort that transforms the way we build and maintain software. Key topics covered: Ash's enthusiasm and practical approach make this episode a must-listen for testers, developers, and tech leaders looking to improve their processes.
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By Xray
It's easy to overlook exploratory testing. But is that wise? Could incorporating exploratory testing slow down your processes, or will it uncover hidden issues that your automated tests miss? In this episode, we dive deep into these questions and more with a special guest, Szilard Szell, a seasoned DevOps transformation lead and test coach.
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By Xray
It's more than just a buzzword - it's a culture that brings development and operations together. Ready to boost your software lifecycle? Tune in now.
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By Xray
As teams adopt Agile for managing software development, tools like Jira Software provide the foundation by promoting collaboration, transparency, commitment and flexibility. When it comes to testing, agile values testing as an integrated part of the SDLC, and testers are encouraged to work alongside developers. So what does Agile Testing in Jira look like and how can we increase agility in our teams?
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By Xray
With over 100+ types of product risks, it's impossible that all of your scripted/pre-planned tests will cover all potential threats to your software. Adding exploratory testing to your testing strategy ensures your software is thoroughly tested and meets the highest standards of quality. Through exploratory testing, you design and execute tests as you go. This iteration covers a wider scope of functionality and ensures your system works properly.
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By Xray
We all know that the process of testing can be, for a software tester, an everyday challenge. Rather than just an activity, software testing must be considered as one of the most important practices inside the Software Development Life Cycle. In this eBook, we will focus on performing test management and quality assurance in Jira Software. We will share awesome Jira apps used by Fortune 500 companies like Porsche, Audi, Vodafone, Lufthansa, Nike, Audi, Samsung and many others.
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Xray is the #1 Manual & Automated Test Management App for Quality Assurance in Jira. Xray supports both manual and automated tests, including BDD using Cucumber besides JUnit, NUnit, Robot and others.
Xray is built for every member of your software team to plan, track, and release great software:
- Unify Testing and Development: No more excuses for untested code. Xray integrates directly with the leading SDLC software: Jira. With your development and test teams working in the same tool, you never ship untested or broken code again.
- Automate & Organize complex tests: Native integrations with test automation frameworks like Cucumber, Selenium and JUnit improve your team’s efficiency. Xray’s test plan and advanced test folder structure make it easy to orchestrate and execute even the most complex test suite.
- Make DevOps more than a buzzword: Empower your agile transformation with Xray’s extensible test management platform. Our REST API and out-of-the-box integrations make it easy to build your CI/CD pipeline. And Xray’s powerful reports and dashboard gadgets give you complete visibility into your test coverage and readiness to deploy.
Discover the future of testing with Jira today!