Has Manual Testing Become Obsolete?  ## Metadata - Author: [[Varun Awasthi]] - Full Title: Has Manual Testing Become Obsolete? - Category: #articles - Document Note: --- tags: [#ManualTesting, #AI, #QualityAssurance] - #ManualTesting - #AI - #QualityAssurance Author: Varun Awasthi Source: LeadDev Reference: https://leaddev.com/software-quality/manual-testing-become-obsolete/ date created: 2025-07-09 08:00 --- # Title: Has manual testing become obsolete? ## Table of Contents: - [📝 Summary](#📝-summary) - [📖 Main Content](#📖-main-content) - [🗒️ Notes](#🗒️-notes) - [📖 References](#📖-references) - [🗣️ Paraphrase](#🗣️-paraphrase) - [📰 Newsletter](#📰-newsletter) - [✅ Action Items](#✅-action-items) - [🧪 Hypotheses](#🧪-hypotheses) - [📊 Methodology](#📊-methodology) - [❓ Questions](#❓-questions) - [🔮 Future Research](#🔮-future-research) - [💡 Implications](#💡-implications) - [🧠 Learning Styles Assessment](#🧠-learning-styles-assessment) - [📊 Accessibility Assessment](#📊-accessibility-assessment) - [🌍 DEIB Assessment](#🌍-deib-assessment) - [✅ Logical validity](#✅-logical-validity) - [🔍 DARVO Analysis](#🔍-darvo-analysis) - [🔍 SEO Evaluation](#🔍-seo-evaluation) - [🎯 Conclusion](#🎯-conclusion) ### References: Include a list of sources consulted and cited in the article. ## 📝 Summary: This article argues that while AI-driven automation accelerates delivery, it cannot replace human judgment in finding edge cases, interpreting business rules, or adapting to rapid change. Manual QA remains vital for complex scenarios, creative problem-solving, and ensuring quality in dynamic contexts. ## 📖 Main Content: Varun Awasthi outlines three core strengths of manual testing in an AI-enhanced world: 1. **Human judgment for edge cases** - Automated tests miss unpredictable flows; humans spot anomalies (e.g., holiday-biased fraud model). 2. **Business context interpretation** - Complex rules (e.g., geo-location logic) require domain knowledge beyond test scripts. 3. **Rapid adaptability** - In emergencies (e.g., COVID-19 loan feature), manual testers quickly adjust to overnight changes when automation lags. He concludes that manual testing will evolve to complement AI, remaining “the cornerstone of software testing.” ### 🗒️ Notes - **Speed vs. Complexity** - Agile/DevOps + AI → faster releases but persistent complexity. - Automation handles repetition; human testers handle nuance. - **Edge-Case Detection** - Fraud model flagged valid transactions due to holiday bias. - Manual intervention broadened data and retrained model. - **Business Understanding** - “Pay later” feature visible to unintended users → geo-logic bug. - Human testers prevented rollout mistakes. - **Adaptability in Crisis** - COVID-19 emergency loan: automation too slow; manual testers triaged issues. - **Future Hybrid Methods** - Manual testing remains essential alongside automation for quality. ## 📖 References: - Awasthi, V. (2025, July 08). *Has manual testing become obsolete?* LeadDev. ## 🗣️ Paraphrase: 1. **Original**: “Automations can help, but they can’t catch everything. Edge cases require human judgment, which is where manual QA steps in…” **Paraphrase**: While scripts speed routine checks, they overlook unusual scenarios—manual QA fills that gap with critical human insight. 2. **Original**: “Manual testing is growing and remains the cornerstone of software testing for all applications…” **Paraphrase**: Far from fading away, hands-on testing remains fundamental, evolving to work hand-in-hand with automation. ## 📰 Newsletter: Hey WordPress wizards! 🧙‍♀️ This week, let’s talk QA. AI makes us faster, but it can’t replace the human eye. Learn why manual testing still catches the weird stuff—like holiday-biased fraud flags and geo-logic slip-ups—and why during emergencies (remember COVID loan rollouts?), people beat bots every time. Don’t let your releases skip that final sanity check! 🔍 [Read more](https://leaddev.com/software-quality/manual-testing-become-obsolete/) ## ✅ Action Items: Tell me how each future article maps to: - My open-source advocacy goals. - Contributor onboarding strategies. - Educational value for new developers. - OSPO leadership aspirations. - Transparency & inclusivity in WordPress. ## 🧪 Hypotheses: - Manual testing reduces high-severity production bugs by 40% in AI-driven pipelines. - Crisis scenarios see 3× faster issue resolution with human QA vs. automation alone. - Hybrid test strategies improve release confidence score by 25%. ### 📊 Methodology: - **Data**: Production bug reports, incident resolution timelines, test coverage metrics. - **Design**: A/B test releases with vs. without manual QA. - **Analysis**: Compare bug density, time-to-fix, and user-reported issues. ### ❓ Questions: - Which edge cases most often slip past AI tests? - How quickly can automation frameworks adapt during emergencies? - What training improves human testers’ efficiency in AI environments? ### 🔮 Future Research: - Quantify ROI of hybrid QA models in continuous delivery. - Develop frameworks for rapid test-script generation in crises. - Study long-term retention of manual testing skills in AI-driven teams. ### 💡 Implications: Findings could guide best practices for merging AI and human testing, influence CI/CD pipeline designs, and inform OSPO policies on quality standards. ### 🧠 Learning Styles Assessment: - **Visual** - Present: No diagrams. - Improve: Add flowcharts comparing manual vs. automated workflows. - **Aural** - Present: None. - Improve: Provide a podcast summary of the article. - **Verbal** - Present: Clear prose and examples. - Improve: Include analogies (e.g., “QA as human radar”). - **Kinesthetic** - Present: Real-world examples. - Improve: Add a hands-on testing exercise template. - **Logical** - Present: Cause-effect examples. - Improve: Include data tables on bug catch rates. - **Social** - Present: No peer discussion prompts. - Improve: Suggest a group QA hackathon. - **Solitary** - Present: Reflection on QA value. - Improve: Add journaling prompts for personal QA challenges. - **Naturalistic** - Present: No nature references. - Improve: Use nature-inspired metaphors (“bug safari”). ### 📊 Accessibility Assessment: - **Screen Reader**: Headings OK; images need alt-text. - **Keyboard**: Ensure focus indicators on all interactive elements. - **Contrast**: Good text contrast; verify with WCAG tools. - **Resizing**: Responsive theme supports scaling. ### 🌍 DEIB Assessment: - **Cultural**: Examples from finance/banking; add healthcare or education contexts. - **Language**: Neutral; define “DevOps” acronym. - **Neurodiversity**: Dense text; break into more bullets. - **Representation**: Single-author perspective; include multi-vendor case studies. - **Safety**: No sensitive content. ### ✅ Logical validity: - **Causal Reasoning**: Automation gaps → human QA catch errors, strengthening the need for hybrid methods. - **Inductive Reasoning**: Real-world anecdotes support claims. No logical fallacies detected. ### 🔍 DARVO Analysis: No Deny, Attack, or Reverse Victim/Offender tactics present—tone remains collaborative. ### 🔍 SEO Evaluation: - **Keywords**: “manual testing,” “AI,” “QA” in title and headers. - **Meta Description**: Add: “Explore why manual QA remains vital in an AI-driven world—from edge-case detection to rapid crisis response.” - **Headers**: H2/H3 usage appropriate; include keywords in subheaders. - **Content Length**: ~650 words; consider adding deeper case studies. - **Links**: External LeadDev link authoritative; add links to AI-testing tools. - **Images**: Add descriptive alt-text. - **Mobile**: Responsive; test load performance. - **Engagement**: Encourage comments or QA community forum links. - **Schema**: Implement Article schema. - **Social**: Sharing buttons present; verify Open Graph tags. ## 🎯 Conclusion: Despite AI’s rise, manual testing’s creative judgment, contextual insight, and adaptability ensure it remains an essential pillar of software quality—evolving to work alongside automation, not be replaced by it. - Summary: AI can improve a lot of processes – but where does testing and QA fit into the new landscape? - URL: https://leaddev.com/software-quality/manual-testing-become-obsolete?utm_source=leaddev&utm_medium=RSS [](https://leaddev.com/software-quality/manual-testing-become-obsolete)[quality assurance – article hero](https://leaddev.com/software-quality/manual-testing-become-obsolete) With the rise of AI, is the role of QA going to evolve with the times or slowly fade into obscurity? Software development is moving faster than ever. Agile and DevOps have brought shorter sprints, smaller releases, and constant updates. With the addition of AI, the pressure to deliver quickly – without breaking things – has compounded. However, while AI has increased the speed of delivery, it has not erased complexity. Automations *can* help, but they can’t catch everything. Edge cases require human judgment, which is where manual QA steps in; spotting the gaps and asking the right questions. #### The human aspect of quality assurance Automations excel at repetitive tasks, but their hurdles are plentiful too: troubles with unpredictability, complex user interactions, and testing edge scenarios are but a few. A human-in-the-loop QA can offset these risks massively. For instance, in one fraud detection project I was a part of, we used machine learning models trained on historical transaction patterns to flag suspicious activity. At first, everything was working smoothly. High-value transactions were being flagged as expected. However, during a second round of deeper testing, we noticed that some legitimate high-value transactions were being flagged as fraudulent. Why? The model had learned that high-value transactions during the holiday season were often fraudulent. Therefore, when similar transactions arose, even if valid, they were viewed as suspect. To add another layer of difficulty, our tests did not catch the error, as they had used validation data from the same holiday period. To fix this, we broadened the test data to include different data sets and re-trained the model on those. Without manual testing processes here, the issue would never have been caught, and the system would have continued to misallocate transactions, highlighting the importance of manual sifting. Just as financial institutions require human oversight to interpret massive volumes of data, software development relies on human understanding to make sense of complex application code. Automated tests can perform thousands of checks, but they can only identify the things they are intended to identify. They cannot adapt to new situations or think creatively. For example, during a banking project, a new “pay later” feature was released for credit card users. Here, automated tests gave it the green light. Everything looked fine until, during manual testing, it was discovered that the feature was appearing for international users, who weren’t meant to see it. This happened due to a geo-location logic issue that the automation didn’t catch. A human tester, however, with an understanding of the business rules and user expectations, prevented a costly mistake from reaching customers. This is where human testers excel – able to consider all the context of the application and the wider business needs. #### **Ability to adapt to rapid changes** As software development shifts, so too do testing requirements. Given the rapid nature of change in tech, automated testing techniques, ironically, are at risk of not keeping pace. To illustrate this, take this real-world example. During the COVID-19 crisis, we had to roll out an emergency loan feature in our mobile app. While the automation was in place for standard flows – new rules, new features, and new logic came in overnight. It was simply impossible to build an automation for it in such a short time period. Manual testers came as a blessing. We quickly understood the changes, ran tests flagged issues, and shared feedback, helping solve a precarious situation. In moments like these, manual testing isn’t a fallback, but rather a key advantage to keeping the wheels turning. When time is short, human judgment and adaptability are hard to beat. Lena Reinhard on stage at LeadDev New York 2023 Manual testing is growing and remains the cornerstone of software testing for all applications. While automation is crucial for handling large test volumes and repetitive tasks, manual testing is still necessary to ensure software quality. By providing the intelligence, creativity, and adaptability that automated systems cannot match, manual testing is evolving to enhance automation rather than replace it. Ultimately, manual testing remains unaffected. It has and will continue to be an essential part of the software quality assurance process to meet the challenges of the future software landscape., Has Manual Testing Become Obsolete?, Varun Awasthi, 01jzqmypcp1j085xswcbcgy306.