How to improve test automation with shift-down strategy

Guide to Testing Pyramid🔈🔉🔊 The Testing Pyramid is a framework that helps teams structure their automated testing strategy for efficiency and reliability. It emphasizes having more unit tests at the base, a moderate number of integration tests in the middle, and fewer UI or end-to-end tests at the top. This approach ensures faster feedback, reduced maintenance costs, and balanced test coverage. Unit tests validate individual components, integration tests verify module interactions, and UI tests confirm user-facing functionality. By following the testing pyramid, teams can achieve a stable, scalable, and efficient testing process, improving overall software quality and delivery speed.📖📚🧾 #testpyramid #testingtools Read more:- https://lnkd.in/gSqxJrzG

The Future of Software Testing Due to technological advancements and changing customer needs the software testing industry is evolving rapidly. This article explores the future of software testing, highlighting key trends and predictions that will shape the field. For details click here: https://lnkd.in/dGr6EDVy

The problem with retrying failed automated tests. As an architect, one of the frequent requests I hear from delivery teams (especially from recent hires of service vendors) is they want to enable retry logic for when a test fails, so the reporting won't show a failure. Whether being run in a pipeline or a scheduled regression run, enabling retry logic is a dangerous move, and for the following reasons: 1. The objective of a test is to find faults, not to simply show a green check. Those faults could be in the recently changed code, it could be in the infrastructure, it could be for a number of reasons. When you retry a failed test, you mask intermittent problems that could then happen in production. 2. When a test fails (in theory anyway), someone should investigate the root cause whether it is a flaky locator, or actual defect, or issue with a dependency (for example a dependent service reset or was being re-deployed). By having records of the frequency of the issues, you can document how severe the problem is. If it is something like a bad locator you can then fix it which improves your test's reliability. If the issue is a dependency being updated or garbage collection happening you can change the system so tests and infrastructure don't collide. If the root cause is a dependency resetting due to out of memory you now have more data in the effect of that memory issue. 3. If there is a global issue affecting all tests such as a DNS error in the test environments, all test jobs will now take at least twice as long to run, potentially clogging up the pipelines and infrastructure. If there is a global failure or failure of a dependency that many other services use, all suites might take an extended period of time to execute because they are waiting for something to happen unless you have a circuit breaker to stop all tests if the system detects specific failures in the system. I understand the desire to have passing tests, especially given tight deadlines and schedules, but software and system tests do not exist for a green check. They exist to detect and gather information about system behavior, including faults. We should treat our testing as a critical piece of feedback, not an obstacle to pushing code to the next stage of the pipeline. If we don't know about a problem, whether it be poor test design, flaky apps, or flaky infrastructure, we can't fix it.

Elevate your software with our guide to quality assurance best practices. Explore 7 key strategies for better testing, faster releases, and fewer bugs.

🚀 How I Built a Robust Cypress.io 🚀 How I Built a Robust Cypress.io “Behind every successful automation project, there’s a chaotic first commit.” “Behind every successful automation project, there’s a chaotic first commit.” I remember it like it was yesterday. Our mobile-first web application was growing rapidly, and manual testing became a bottleneck. Regression bugs haunted us in every release, and the team was crying out for help. I knew it was time to act. I decided to build a robust, scalable, and professional Cypress.io automation testing project — something maintainable, extendable, and powerful enough to cover everything from login flows to end-to-end business scenarios. What started as a simple plan turned into a real-world masterclass in Cypress, custom commands, POM, and solving unexpected errors. This article is your map to follow that journey and build your own Cypress automation project like a pro. Cypress First things first, I opened the terminal and ran: mkdir cypress-floward-e2e cd cypress-flowar https://lnkd.in/gWw8SD6B

⚖️Finding the Right Balance in Software Testing⚖️ When it comes to testing software, it’s not a question of whether to test, it’s what kind of testing delivers the most value. 🤔Should we use automated testing, manual testing, or a mix of both? And which approach works best for our team? 🕰️How Testing Has Evolved When I started developing software 25+ years ago, testing was pretty basic, black box or white box, and if you wanted automation, you wrote it yourself. Commercial tools were rare. Fast forward to 2025 🚀, and there’s no shortage of powerful testing frameworks, many fully integrated into development pipelines. The challenge now isn’t how to test, it’s choosing the right tools for your needs. 🎯What Testing Should Achieve There’s no one-size-fits-all approach, but any good testing strategy should: ✅ Give confidence in every release. ✅ Let you make bold, sweeping changes safely. ✅ Reduce maintenance headaches. ✅ Keep customers happy — and coming back. 💡Our Journey at HolidayRentPro When we started building www.HolidayRentPro.com, we didn’t think much about testing. A few hard-learned lessons later, we realised that consistent quality required a proper testing setup. We implemented end-to-end testing with Playwright, which integrates neatly with our stack (ASP.NET / Blazor Server / EF Core / SQL Server). Our suite spins up the full app, creates a test tenant, runs all tests, and cleans up automatically. Right now, we have 89 test cases covering everything from setup to guest check-in and owner areas, and a simple rule: no new feature goes in production without adding test coverage for it. It’s taken time and effort 💪, but it’s given us the confidence to release faster, knowing we’re standing on a solid foundation. 💬 Over to You How do you handle testing in your projects? What tools or strategies have made the biggest difference for you? Drop your thoughts below 👇 — always love hearing how other teams tackle this!

Traditional testing no longer fits the pace of modern software delivery. 🚫 This article shows why you should rethink your approach to catch issues earlier and move faster with fewer risks. Read this piece if your team is under pressure.

Traditional testing no longer fits the pace of modern software delivery. 🚫 This article shows why you should rethink your approach to catch issues earlier and move faster with fewer risks. Read this piece if your team is under pressure.

Traditional testing no longer fits the pace of modern software delivery. 🚫 This article shows why you should rethink your approach to catch issues earlier and move faster with fewer risks. Read this piece if your team is under pressure.

🎯 𝑼𝒏𝒅𝒆𝒓𝒔𝒕𝒂𝒏𝒅𝒊𝒏𝒈 𝒕𝒉𝒆 𝑻𝒚𝒑𝒆𝒔 𝒐𝒇 𝑺𝒐𝒇𝒕𝒘𝒂𝒓𝒆 𝑻𝒆𝒔𝒕𝒊𝒏𝒈 – 𝑨 𝑪𝒐𝒎𝒑𝒍𝒆𝒕𝒆 𝑩𝒓𝒆𝒂𝒌𝒅𝒐𝒘𝒏 𝒇𝒐𝒓 𝑬𝒗𝒆𝒓𝒚 𝑸𝑨 𝑨𝒔𝒑𝒊𝒓𝒂𝒏𝒕! 💻🚀 In 𝘴𝘰𝘧𝘵𝘸𝘢𝘳𝘦 𝘥𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵, 𝘵𝘦𝘴𝘵𝘪𝘯𝘨 is not just about finding 𝐛𝐮𝐠𝐬 — it’s about ensuring quality, performance, and reliability before your product reaches real users. 🧠✨ 🔹 1️⃣ "𝑴𝒂𝒏𝒖𝒂𝒍 𝑻𝒆𝒔𝒕𝒊𝒏𝒈" This is the traditional and foundational approach where testers execute test cases without using any automation tools. 🧍♂️ 𝘐𝘵 𝘧𝘰𝘤𝘶𝘴𝘦𝘴 𝘰𝘯 𝘵𝘩𝘦 𝘩𝘶𝘮𝘢𝘯 𝘱𝘦𝘳𝘴𝘱𝘦𝘤𝘵𝘪𝘷𝘦 — 𝘦𝘹𝘱𝘭𝘰𝘳𝘪𝘯𝘨 𝘵𝘩𝘦 𝘢𝘱𝘱, 𝘷𝘦𝘳𝘪𝘧𝘺𝘪𝘯𝘨 𝘶𝘴𝘢𝘣𝘪𝘭𝘪𝘵𝘺, 𝘢𝘯𝘥 𝘪𝘥𝘦𝘯𝘵𝘪𝘧𝘺𝘪𝘯𝘨 𝘳𝘦𝘢𝘭-𝘸𝘰𝘳𝘭𝘥 𝘪𝘴𝘴𝘶𝘦𝘴 𝘵𝘩𝘢𝘵 𝘢𝘶𝘵𝘰𝘮𝘢𝘵𝘪𝘰𝘯 𝘮𝘪𝘨𝘩𝘵 𝘮𝘪𝘴𝘴. ➡️ 𝐓𝐲𝐩𝐞𝐬 𝐮𝐧𝐝𝐞𝐫 𝐌𝐚𝐧𝐮𝐚𝐥 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 𝐢𝐧𝐜𝐥𝐮𝐝𝐞: 𝑾𝒉𝒊𝒕𝒆 𝑩𝒐𝒙 𝑻𝒆𝒔𝒕𝒊𝒏𝒈 – Testing the internal logic/code of the application. 𝑩𝒍𝒂𝒄𝒌 𝑩𝒐𝒙 𝑻𝒆𝒔𝒕𝒊𝒏𝒈 – Testing functionality without knowing the internal structure. 𝑮𝒓𝒆𝒚 𝑩𝒐𝒙 𝑻𝒆𝒔𝒕𝒊𝒏𝒈 – A mix of both, where partial knowledge of the system is used. 🔹 2️⃣ "𝑨𝒖𝒕𝒐𝒎𝒂𝒕𝒊𝒐𝒏 𝑻𝒆𝒔𝒕𝒊𝒏𝒈" As projects grow, automation becomes essential for faster and repetitive test executions. 🤖⚙️ 𝑨𝒖𝒕𝒐𝒎𝒂𝒕𝒊𝒐𝒏 𝒉𝒆𝒍𝒑𝒔 𝒊𝒏: ➡️𝐑𝐞𝐝𝐮𝐜𝐢𝐧𝐠 𝐦𝐚𝐧𝐮𝐚𝐥 𝐞𝐟𝐟𝐨𝐫𝐭 ➡️𝐈𝐧𝐜𝐫𝐞𝐚𝐬𝐢𝐧𝐠 𝐭𝐞𝐬𝐭 𝐜𝐨𝐯𝐞𝐫𝐚𝐠𝐞 ➡️𝐈𝐦𝐩𝐫𝐨𝐯𝐢𝐧𝐠 𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐜𝐲 𝘗𝘰𝘱𝘶𝘭𝘢𝘳 𝘵𝘰𝘰𝘭𝘴 𝘪𝘯𝘤𝘭𝘶𝘥𝘦 𝘚𝘦𝘭𝘦𝘯𝘪𝘶𝘮, 𝘊𝘺𝘱𝘳𝘦𝘴𝘴, 𝘗𝘭𝘢𝘺𝘸𝘳𝘪𝘨𝘩𝘵, 𝘢𝘯𝘥 𝘛𝘦𝘴𝘵𝘕𝘎. 🔹 3️⃣ "𝑭𝒖𝒏𝒄𝒕𝒊𝒐𝒏𝒂𝒍 𝑻𝒆𝒔𝒕𝒊𝒏𝒈" This ensures that every function of the software application works according to the requirements. ✅ Includes: 𝑼𝒏𝒊𝒕 𝑻𝒆𝒔𝒕𝒊𝒏𝒈 – Testing individual components or modules. 𝑰𝒏𝒕𝒆𝒈𝒓𝒂𝒕𝒊𝒐𝒏 𝑻𝒆𝒔𝒕𝒊𝒏𝒈 – Ensuring multiple modules work together. 🔸 𝑰𝒏𝒄𝒓𝒆𝒎𝒆𝒏𝒕𝒂𝒍 𝑻𝒆𝒔𝒕𝒊𝒏𝒈(𝘉𝘰𝘵𝘵𝘰𝘮-𝘶𝘱 / 𝘛𝘰𝘱-𝘥𝘰𝘸𝘯) 𝑺𝒚𝒔𝒕𝒆𝒎 𝑻𝒆𝒔𝒕𝒊𝒏𝒈 – Validating the entire system as a whole. 𝑼𝒔𝒂𝒃𝒊𝒍𝒊𝒕𝒚 𝑻𝒆𝒔𝒕𝒊𝒏𝒈 – Checking how user-friendly and intuitive the software is. 🔹 4️⃣ "𝑵𝒐𝒏-𝑭𝒖𝒏𝒄𝒕𝒊𝒐𝒏𝒂𝒍 𝑻𝒆𝒔𝒕𝒊𝒏𝒈" 𝘛𝘩𝘪𝘴 𝘵𝘺𝘱𝘦 𝘧𝘰𝘤𝘶𝘴𝘦𝘴 𝘰𝘯 𝘩𝘰𝘸 𝘵𝘩𝘦 𝘴𝘺𝘴𝘵𝘦𝘮 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘴 𝘳𝘢𝘵𝘩𝘦𝘳 𝘵𝘩𝘢𝘯 𝘸𝘩𝘢𝘵 𝘪𝘵 𝘥𝘰𝘦𝘴. 📊 𝘐𝘵 𝘮𝘦𝘢𝘴𝘶𝘳𝘦𝘴 𝘴𝘰𝘧𝘵𝘸𝘢𝘳𝘦 𝘢𝘵𝘵𝘳𝘪𝘣𝘶𝘵𝘦𝘴 𝘭𝘪𝘬𝘦 𝘴𝘱𝘦𝘦𝘥, 𝘴𝘤𝘢𝘭𝘢𝘣𝘪𝘭𝘪𝘵𝘺, 𝘢𝘯𝘥 𝘴𝘵𝘢𝘣𝘪𝘭𝘪𝘵𝘺. Includes: "𝑷𝒆𝒓𝒇𝒐𝒓𝒎𝒂𝒏𝒄𝒆 𝑻𝒆𝒔𝒕𝒊𝒏𝒈" 🧩 𝑳𝒐𝒂𝒅 𝒕𝒆𝒔𝒕𝒊𝒏𝒈 – Checks system behavior under expected load. 💪 𝑺𝒕𝒓𝒆𝒔𝒔 𝑻𝒆𝒔𝒕𝒊𝒏𝒈 – Determines the system’s breaking point. 📈 𝑺𝒄𝒂𝒍𝒂𝒃𝒊𝒍𝒊𝒕𝒚 𝑻𝒆𝒔𝒕𝒊𝒏𝒈 – Evaluates how well the system scales up/down. ⚡ 𝑺𝒕𝒂𝒃𝒊𝒍𝒊𝒕𝒚 𝑻𝒆𝒔𝒕𝒊𝒏𝒈 – Ensures the system remains stable over time. 🔎𝑪𝒐𝒎𝒑𝒂𝒕𝒊𝒃𝒊𝒍𝒊𝒕𝒚 𝑻𝒆𝒔𝒕𝒊𝒏𝒈 – Ensures the app works across different devices, browsers, and OS. #interviewpreparation #testingcommunity #automationtesting #qainterview