17 answers
Asked
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Is software testing replace with AI??
I use chatgpt and analysis my behaviour for career and it's suggest me that software testing suit me and enjoy but I fear that ai will replace my job. Is any one share idea about this things? If no how and where I can start ? Please help me
17 answers
Updated
Ronald’s Answer
Hi there. I do not believe AI will be replacing humans when it comes to testing. AI is still very regimented, and will only account for the test cases that have been captured before. Humans have a thing for always finding a NEW way to break things. As such, so long as human ingenuity sticks around, software testing will be a thing we will keep doing ALONG SIDE AI.
AI is a great tool to elevate what we do. Just like any tool, if you do not understand it, nor know how to use it, it does nothing productive towards your, or anyone's, goals. I would 100% still consider Software Testing a field of work that will continue to thrive into the future. Now more than ever given multiple Large Language Models (LLMs) are popping up. Every day new exploits and bugs are found that were not thought of. AI cannot, yet, iterate beyond the scope of what it is instructed to do.
AI is a great tool to elevate what we do. Just like any tool, if you do not understand it, nor know how to use it, it does nothing productive towards your, or anyone's, goals. I would 100% still consider Software Testing a field of work that will continue to thrive into the future. Now more than ever given multiple Large Language Models (LLMs) are popping up. Every day new exploits and bugs are found that were not thought of. AI cannot, yet, iterate beyond the scope of what it is instructed to do.
Thank you, Ronald for the advice.
Sahil
Updated
Fred’s Answer
I doubt AI will replace humans in the development process for quite a while. As with all new technologies/ideas, they hype and promise is always greater than the actual thing. for example, blockchain was going to solve the world's problems. Before that, we were supposed to be in a perpetual economic growth cycle and nobody would ever have to work again. Heck, in the 1950's, they promised us flying cars...
Will there be changes? Sure. testers may have to learn to work with AI. it will most likely be a partnership, not a replacement.
These opinions are my own, and of course, could be completely wrong.
Will there be changes? Sure. testers may have to learn to work with AI. it will most likely be a partnership, not a replacement.
These opinions are my own, and of course, could be completely wrong.
Thank you for the advice.
Sahil
Joshua Allard, Ph.D.
Data Science & AI, Quantum AI designer developer
40
Answers
Port St. Lucie, Florida
Updated
Joshua’s Answer
It’s natural to be concerned about the impact of AI on the job market, especially in fields like software testing. However, AI is more likely to augment the role of software testers rather than replace them entirely. While AI can automate repetitive tasks such as running test cases, detecting bugs, and predicting code failures, it lacks the creative, strategic, and human elements of testing. Tasks like understanding user behavior, exploring unique edge cases, and designing complex test scenarios require human insight. This is why AI is better viewed as augmented intelligence rather than artificial—it enhances our ability to do more complex work rather than replacing human expertise.
For software testers, AI tools will complement and increase efficiency by taking over the more repetitive aspects of the job, leaving you free to focus on critical thinking, high-level test strategies, and ensuring the best user experience. Learning to work with AI tools can create more opportunities for testers who can use these technologies effectively. The key is seeing AI not as a replacement but as a tool to make your work more innovative and efficient.
If you’re interested in pursuing a career in software testing, you can start by learning the fundamentals of the field. Begin by understanding the basics, such as different types of testing (manual, automated, performance, etc.) and core concepts like test cases, test plans, and bug reporting. Tools like Jira for manual testing and Selenium or Cucumber for automation are widely used in the industry, and learning a programming language like Python, or Java will be highly beneficial for automation testing. You can take online courses on platforms like Udemy, Coursera, or LinkedIn Learning, which offer accessible, hands-on learning.
Certifications like the ISTQB Foundation Level can provide a competitive edge when applying for jobs. They can also help you gain real-world practice by testing open-source projects or participating in bug bounty programs, which can help build your experience. Networking is also essential, so consider joining communities like the Ministry of Testing or Test Automation University to connect with other professionals and stay updated with industry trends.
Adopting AI tools in software testing will be critical to future-proofing your career. Understanding how to integrate AI can allow you to automate more competent test cases, improve test coverage, and save time on routine tasks. This will position you to focus on the human aspects of testing that AI cannot replicate, such as creativity and understanding complex user needs.
In summary, while AI will undoubtedly change software testing, it will do so in ways that augment human capabilities rather than replace them. By continuously learning, adapting, and using AI to enhance your work, you can ensure a long and fulfilling career in software testing. It’s essential to view AI as augmented intelligence—a way to amplify your potential—rather than something that detracts from your abilities.
For software testers, AI tools will complement and increase efficiency by taking over the more repetitive aspects of the job, leaving you free to focus on critical thinking, high-level test strategies, and ensuring the best user experience. Learning to work with AI tools can create more opportunities for testers who can use these technologies effectively. The key is seeing AI not as a replacement but as a tool to make your work more innovative and efficient.
If you’re interested in pursuing a career in software testing, you can start by learning the fundamentals of the field. Begin by understanding the basics, such as different types of testing (manual, automated, performance, etc.) and core concepts like test cases, test plans, and bug reporting. Tools like Jira for manual testing and Selenium or Cucumber for automation are widely used in the industry, and learning a programming language like Python, or Java will be highly beneficial for automation testing. You can take online courses on platforms like Udemy, Coursera, or LinkedIn Learning, which offer accessible, hands-on learning.
Certifications like the ISTQB Foundation Level can provide a competitive edge when applying for jobs. They can also help you gain real-world practice by testing open-source projects or participating in bug bounty programs, which can help build your experience. Networking is also essential, so consider joining communities like the Ministry of Testing or Test Automation University to connect with other professionals and stay updated with industry trends.
Adopting AI tools in software testing will be critical to future-proofing your career. Understanding how to integrate AI can allow you to automate more competent test cases, improve test coverage, and save time on routine tasks. This will position you to focus on the human aspects of testing that AI cannot replicate, such as creativity and understanding complex user needs.
In summary, while AI will undoubtedly change software testing, it will do so in ways that augment human capabilities rather than replace them. By continuously learning, adapting, and using AI to enhance your work, you can ensure a long and fulfilling career in software testing. It’s essential to view AI as augmented intelligence—a way to amplify your potential—rather than something that detracts from your abilities.
Thanks for your encouragement!
Sahil
Updated
venkat’s Answer
AI won't eliminate the need for testing, but it will significantly enhance the quality and scope of testing procedures. It's crucial for all testers to adopt AI as a beneficial tool. The combination of human intelligence and AI will elevate the testing process to new heights.
Those beginning their journey in the testing field should focus on mastering testing techniques and welcoming the use of AI. This approach will not only make you a valuable asset to any employer, but it will also boost your chances of employment.
Those beginning their journey in the testing field should focus on mastering testing techniques and welcoming the use of AI. This approach will not only make you a valuable asset to any employer, but it will also boost your chances of employment.
Updated
Stan’s Answer
The main worry is that software testing, as a sector, is sadly being pushed down the priority list. Previously, each team had dedicated testing professionals, but this was later centralized. Now, developers are left to handle their own testing. AI could potentially simplify this process for developers. However, the pressing issue is the potential scarcity of this role in the future.
Updated
Gergő’s Answer
Hi Sahil,
There are a number of long answers already, so I'll write something short, what I heard once on an AI course and I think it's absolutely make sense.
"AI is not going to replace humans, but humans with AI are going to replace humans without AI."
I hope this helps!
There are a number of long answers already, so I'll write something short, what I heard once on an AI course and I think it's absolutely make sense.
"AI is not going to replace humans, but humans with AI are going to replace humans without AI."
I hope this helps!
Peterson Chaves
Senior Software Engineer - Tech Lead
2
Answers
São Caetano do Sul, State of São Paulo, Brazil
Updated
Peterson’s Answer
Hello! I'm convinced that AI will enhance many professions, but it won't take over them entirely. It's possible that some manual tasks may be automated, but professional roles will remain crucial.
When it comes to testing, I firmly believe that professionals who equip themselves with AI knowledge will rise above their peers. They'll be able to fully leverage AI, using it to improve their work significantly.
As a Test Engineer, you can utilize AI to develop all sorts of test scenarios, including unit tests and accessibility tests. However, the need for review means your role remains indispensable. You'll face the exciting challenge of crafting the best prompts to achieve optimal results. Professionals who limit themselves to tasks like "I created the unit tests for the selected method" might find themselves at risk.
I encourage you to delve into this subject, understand how it can streamline your daily tasks, and ultimately boost your productivity and value. =)
When it comes to testing, I firmly believe that professionals who equip themselves with AI knowledge will rise above their peers. They'll be able to fully leverage AI, using it to improve their work significantly.
As a Test Engineer, you can utilize AI to develop all sorts of test scenarios, including unit tests and accessibility tests. However, the need for review means your role remains indispensable. You'll face the exciting challenge of crafting the best prompts to achieve optimal results. Professionals who limit themselves to tasks like "I created the unit tests for the selected method" might find themselves at risk.
I encourage you to delve into this subject, understand how it can streamline your daily tasks, and ultimately boost your productivity and value. =)
Updated
Vidhya Sagar’s Answer
No, software testing is not being replaced by AI. However, AI is transforming the field of software testing in significant ways.
Here’s why:
AI Augments, Not Replaces, Human Testers
Human intuition and creativity are irreplaceable: AI excels at repetitive tasks and pattern recognition, but it lacks the nuanced understanding, creativity, and problem-solving skills of human testers. Humans are better equipped to:
Design complex test cases that consider real-user scenarios.
Understand the subjective aspects of user experience (e.g., usability, accessibility).
Identify edge cases and unexpected behaviors that AI might miss.
AI as a powerful tool for testers: Instead of replacing testers, AI provides them with powerful tools to enhance their efficiency and effectiveness:
Test automation: AI can automate repetitive and time-consuming testing tasks, freeing up testers to focus on more complex and exploratory testing.
Test case generation: AI can analyze code and requirements to automatically generate test cases, improving test coverage.
Defect prediction: AI can analyze historical data to identify patterns and predict potential defects, allowing for proactive testing and early bug detection.
In conclusion: The future of software testing lies in the collaboration between human testers and AI. AI will continue to automate tasks and provide valuable insights, but human testers will remain essential for their creativity, critical thinking, and domain expertise.
Here’s why:
AI Augments, Not Replaces, Human Testers
Human intuition and creativity are irreplaceable: AI excels at repetitive tasks and pattern recognition, but it lacks the nuanced understanding, creativity, and problem-solving skills of human testers. Humans are better equipped to:
Design complex test cases that consider real-user scenarios.
Understand the subjective aspects of user experience (e.g., usability, accessibility).
Identify edge cases and unexpected behaviors that AI might miss.
AI as a powerful tool for testers: Instead of replacing testers, AI provides them with powerful tools to enhance their efficiency and effectiveness:
Test automation: AI can automate repetitive and time-consuming testing tasks, freeing up testers to focus on more complex and exploratory testing.
Test case generation: AI can analyze code and requirements to automatically generate test cases, improving test coverage.
Defect prediction: AI can analyze historical data to identify patterns and predict potential defects, allowing for proactive testing and early bug detection.
In conclusion: The future of software testing lies in the collaboration between human testers and AI. AI will continue to automate tasks and provide valuable insights, but human testers will remain essential for their creativity, critical thinking, and domain expertise.
Thank you so much!
Sahil
Updated
Arpit’s Answer
I believe that AI will not replace software testing but rather augment it and create new opportunities.
While AI can automate certain aspects of testing, it cannot fully replace the human judgment, creativity, and domain expertise required for effective testing. AI can be used to identify patterns in data, generate test cases, and automate repetitive tasks, but it cannot understand the nuances of complex systems or anticipate unforeseen scenarios.
Here's an example: Imagine a self-driving car. AI can be used to train the car's algorithms to recognize objects and make decisions on the road. However, human testers are still needed to ensure that the car can handle a variety of real-world scenarios, such as extreme weather conditions, unexpected obstacles, and diverse road types.
Instead of fearing AI, we should embrace it as a tool that can help us become more efficient and effective testers. By learning to use AI tools and techniques, we can focus on higher-level tasks, such as designing test strategies, analyzing test results, and providing valuable insights to development teams.
The future of software testing is bright. By embracing AI and developing your skills, one can position self for a successful and rewarding career.
While AI can automate certain aspects of testing, it cannot fully replace the human judgment, creativity, and domain expertise required for effective testing. AI can be used to identify patterns in data, generate test cases, and automate repetitive tasks, but it cannot understand the nuances of complex systems or anticipate unforeseen scenarios.
Here's an example: Imagine a self-driving car. AI can be used to train the car's algorithms to recognize objects and make decisions on the road. However, human testers are still needed to ensure that the car can handle a variety of real-world scenarios, such as extreme weather conditions, unexpected obstacles, and diverse road types.
Instead of fearing AI, we should embrace it as a tool that can help us become more efficient and effective testers. By learning to use AI tools and techniques, we can focus on higher-level tasks, such as designing test strategies, analyzing test results, and providing valuable insights to development teams.
The future of software testing is bright. By embracing AI and developing your skills, one can position self for a successful and rewarding career.
Updated
Ashutosh’s Answer
Software developers, as a whole, aren't likely to be replaced by AI. However, it's easy to envision certain aspects of the work, such as testing, being enhanced by AI technology. Gradually, we'll see more tasks being handed over to machines, allowing developers to concentrate on creating more value higher up the chain. As this transition occurs, it's plausible that testing may evolve as a profession over the medium term. In the immediate future, test engineers can utilize AI to enhance the quality of the software they're working on. As many have pointed out, while the tools of the trade may change, the core purpose of the job will stay the same. This is a promising and exciting time for the industry.
Updated
Steven’s Answer
AI will definitely change the world as we know it. But rest assured, you will always need human interaction for something. Take simple grocery check outs. Yes, the customer is able to do this process themselves now, but there is someone that watches them, there is someone that maintains the hardware and someone that maintains the software. All the AI is truly doing is the type of job an individual works.
Updated
Vincent’s Answer
In my experience, there are definietley components of software testing that is being replaced with AI. That being said, I have seen the automation replace some of the more basic, repeatable testing. This automation compliments the human element and allows the testers to focus on the nuances of the product they are testing.
Updated
Shoshana’s Answer
Hi Sahil,
Your concern is valid. Yes, I am seeing AI being leveraged more and more for testing. That being said, there is a need for someone to validate results and determine how to improve the testing coverage and educate/train clients on how to use the tools. If you are looking to execute the testing, that piece is being taken over by AI.
I hope this helps.
Shoshana
Your concern is valid. Yes, I am seeing AI being leveraged more and more for testing. That being said, there is a need for someone to validate results and determine how to improve the testing coverage and educate/train clients on how to use the tools. If you are looking to execute the testing, that piece is being taken over by AI.
I hope this helps.
Shoshana
Updated
David’s Answer
Hey,
I truly believe that AI won't be taking over every human role, and there will always be a necessity for a human touch.
Remember, AI is still software at its core, so you could consider becoming a tester or developer for innovative AI products.
It might be beneficial to dedicate some of your time to learning more about AI. It seems like you're already on the right track with your use of tools like ChatGPT!
Wishing you all the best in your career journey.
I truly believe that AI won't be taking over every human role, and there will always be a necessity for a human touch.
Remember, AI is still software at its core, so you could consider becoming a tester or developer for innovative AI products.
It might be beneficial to dedicate some of your time to learning more about AI. It seems like you're already on the right track with your use of tools like ChatGPT!
Wishing you all the best in your career journey.
Thank you, this is amazing! I really needed it.
Sahil
Updated
Aman’s Answer
Hi Sahil,
I completely understand your concerns about AI potentially replacing jobs, especially in fields like software testing. It's a valid fear, considering how fast technology is advancing. However, let’s delve deeper. While AI and automation tools are becoming more prevalent in the testing space, they are actually designed to complement human testers rather than completely replace them.
Think about it: AI can handle repetitive tasks, such as running functional tests or executing scripts that require minimal decision-making. However, here’s where humans shine! Software testers play a critical role in understanding user needs, interpreting complex requirements, and providing feedback based on user experience which is still something AI struggles to fully grasp. Furthermore, testers are adept at exploratory testing to uncover unforeseen issues, something that requires a human touch.
If you’re looking to get started in software testing, consider certifications like ISTQB (International Software Testing Qualifications Board) or take part in specialized courses from platforms like Coursera or Udemy that focus on both manual and automated testing. You could even explore tools such as Selenium or JUnit that are widely used in the industry today. Additionally, getting hands-on experience by working on real projects or internships can bolster your skills. Networking within communities like Software Testing Club or joining local meetups can also provide you with insights and job opportunities. Stay ahead by continuously learning and adapting your skills. In the end, remember that your adaptability will be one of your greatest assets amidst the evolving technology landscape.
Best of luck on your journey into software testing!
I completely understand your concerns about AI potentially replacing jobs, especially in fields like software testing. It's a valid fear, considering how fast technology is advancing. However, let’s delve deeper. While AI and automation tools are becoming more prevalent in the testing space, they are actually designed to complement human testers rather than completely replace them.
Think about it: AI can handle repetitive tasks, such as running functional tests or executing scripts that require minimal decision-making. However, here’s where humans shine! Software testers play a critical role in understanding user needs, interpreting complex requirements, and providing feedback based on user experience which is still something AI struggles to fully grasp. Furthermore, testers are adept at exploratory testing to uncover unforeseen issues, something that requires a human touch.
If you’re looking to get started in software testing, consider certifications like ISTQB (International Software Testing Qualifications Board) or take part in specialized courses from platforms like Coursera or Udemy that focus on both manual and automated testing. You could even explore tools such as Selenium or JUnit that are widely used in the industry today. Additionally, getting hands-on experience by working on real projects or internships can bolster your skills. Networking within communities like Software Testing Club or joining local meetups can also provide you with insights and job opportunities. Stay ahead by continuously learning and adapting your skills. In the end, remember that your adaptability will be one of your greatest assets amidst the evolving technology landscape.
Best of luck on your journey into software testing!
Updated
Muhammad’s Answer
1. Career-Counseling
2. Software-Testing
3. Artificial-Intelligence
4. Quality-Assurance
5. Job
6. Computer-Software
2. Software-Testing
3. Artificial-Intelligence
4. Quality-Assurance
5. Job
6. Computer-Software
What are these?? Can you please explain
Sahil
Hi Muhammad, can you please add some context and detail to your answer? What does this list represent?
Sharyn Grose, Admin
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