Skip to the main content.

Curiosity Modeller

Design Complex Systems, Create Visual Models, Collaborate on Requirements, Eradicate Bugs and Deliver Quality! 

Product Overview Solutions
Success Stories Integrations
Book a Demo Release Notes
Free Trial Brochure

Enterprise Test Data

Stream Complete and Compliant Test Data On-Demand, Removing Bottlenecks and Boosting Coverage!

Explore Curiosity's Solutions

Our innovative solutions help you deliver quality software earlier, and at less cost!

robot-excited copy-1              AI Accelerated Quality              Scalable AI accelerated test creation for improved quality and faster software delivery.

palette copy-1                      Test Case Design                Generate the smallest set of test cases needed to test complex systems.

database-arrow-right copy-3          Data Subsetting & Cloning      Extract the smallest data sets needed for referential integrity and coverage.

cloud-cog copy                  API Test Automation              Make complex API testing simple, using a visual approach to generate rigorous API tests.

plus-box-multiple copy-1         Synthetic Data Generation             Generate complete and compliant synthetic data on-demand for every scenario.

file-find copy-1                                     Data Allocation                  Automatically find and make data for every possible test, testing continuously and in parallel.

sitemap copy-1                Requirements Modelling          Model complex systems and requirements as complete flowcharts in-sprint.

lock copy-1                                 Data Masking                            Identify and mask sensitive information across databases and files.

database-sync copy-2                   Legacy TDM Replacement        Move to a modern test data solution with cutting-edge capabilities.

Explore Curiosity's Resources

See how we empower customer success, watch our latest webinars, read our newest eBooks and more.

video-vintage copy                                      Webinars                                Register for upcoming events, and watch our latest on-demand webinars.

radio copy                                   Podcasts                                  Listen to the latest episode of the Why Didn't You Test That? Podcast and more.

notebook copy                                           eBooks                                Download our latest research papers and solutions briefs.

calendar copy                                       Events                                          Join the Curiosity team in person or virtually at our upcoming events and conferences.

book-open-page-variant copy                                          Blog                                        Discover software quality trends and thought leadership brought to you by the Curiosity team.

face-agent copy                               Help & Support                            Find a solution, request expert support and contact Curiosity. 

bookmark-check copy                            Success Stories                            Learn how our customers found success with Curiosity's Modeller and Enterprise Test Data.

file-document-multiple (1) copy                                 Documentation                            Get started with the Curiosity Platform, discover our learning portal and find solutions. 

connection copy                                  Integrations                              Explore Modeller's wide range of connections and integrations.

Better Software, Faster Delivery!

Curiosity are your partners for designing and building complex systems in short sprints!

account-supervisor copy                            Meet Our Team                          Meet our team of world leading experts in software quality and test data.

calendar-month copy                                         Our History                                Explore Curiosity's long history of creating market-defining solutions and success.

check-decagram copy                                       Our Mission                                Discover how we aim to revolutionize the quality and speed of software delivery.

handshake copy                            Our Partners                            Learn about our partners and how we can help you solve your software delivery challenges.

account-tie-woman copy                                        Careers                                    Join our growing team of industry veterans, experts, innovators and specialists. 

typewriter copy                             Press Releases                          Read the latest Curiosity news and company updates.

bookmark-check copy                            Success Stories                          Learn how our customers found success with Curiosity's Modeller and Enterprise Test Data.

book-open-page-variant copy                                                  Blog                                                Discover software quality trends and thought leadership brought to you by the Curiosity team.

phone-classic copy                                      Contact Us                                           Get in touch with a Curiosity expert or leave us a message.

5 min read

Will Chat GPT and generative AI “replace” testing?

Will Chat GPT and generative AI “replace” testing?

There is a lot of buzz within the software testing and development communities about Chat GPT, and the role of generative AI in testing.

Some of the opinion pieces, webinars and videos focus on the potentially beneficial applications of generative AI for testing speed and quality. However, many focus on how Chat GPT might impact a tester’s future job prospects and security. Some go as far as questioning whether Chat GPT will replace the role of manual testers and SDETs [1].

The popularity of this type of content is natural, given the anxiety associated with wavering job security in tech, and the natural hunger of testers to learn the latest tools and skills. Meanwhile, some organisations still view testing as a problematic cost centre. The appeal of automation and AI for these managers in turn becomes cost avoidance, while still going through the motions of “QA”.

How well-founded is the speculation that Chat GPT might “replace” testing, or, at least, replace testers? And, for senior management, how should you think about the role of AI-based automation in your organisation’s future QA investment?

A worry as old as automation itself

The view that newer technologies and newly skilled workers will render existing jobs redundant is not new. The term “luddite”, for instance, stems from a movement of textile works in 19th Century England, who opposed textile machinery as a threat to the value of their highly-skilled work [2].

Luddites Chat GPT and Testing

“Luddites” in the early 1800s opposed – and smashed – new textile machinery like looms. Original image: Wikimedia.

Within software testing, these same concerns emerged some 10+ years ago, when marketers presented test execution automation as a “silver bullet” for testing efficiencies and bloated testing budgets.

And now today, Chat GPT and generative AI brings the promise that it will automate the automation itself, automating the labours performed by SDETs and engineers. These toilsome tasks might include writing test scripts and Gherkin specifications, or sourcing test data and analysing requirements.

Let’s assume that ChatGPT and generative AI can automate these tasks. For the sake of this article, let’s park the sizeable challenges surrounding the data used to train ML/AI models, questions of test coverage, and issues associated with governance, bias, and more.

What room will be left for the testers and SDETs who have spent years crafting their skills and expertise, if intelligent automation can produce test automation at a fraction of the time and cost?

The testing discipline is going nowhere

Yet, automating test execution did not automate away testing or QA. In fact, it created a raft of new and complex processes, requiring new skills, tools, and dedicated roles like the SDET.

No matter how much testing has “automated”, there has always been more to automate and maintain. Testing exhaustively is more of an impossible goal today than it was a decade ago.

The average test team has automated just 15-20% of all tests [3], reflecting this ever-growing testing requirement. The total number of possible test scenarios that could be automated just keeps growing.

To understand this ever-growing “to do” list, we must consider the relationship between speed and complexity. We must consider how doing individual tasks faster tends to create more tasks to complete, however paradoxical this might at first appear.

Moore’s law and more to test

One appeal of automation is the time and cost efficiency by which it executes high-volumes of tasks. In testing, automation has been well suited to repetitive and recurring tasks like regression testing. Chat GPT and generative AI promise to expand the scope beyond scenarios pre-defined by a human, further reducing the labour associated with creating and running tests.

Yet, the efficiency gained through automation is not isolated to testing. If it were, testing could hope to close the gap on exhaustive test coverage. Instead, the testing requirement continues to grow in size and complexity.

Just as QA becomes faster in its individual processes, so does software design, development, and every constituent part of the SDLC. These individual efficiencies enable faster software delivery, making changes of greater functional size and logical complexity. This leaves less time to test more.

The number of logical combinations to test will continue to grow, as will the need to maintain and refactor ever-growing volumes of historical code and tests. No matter how much you optimise, your delivery processes will also grow in complexity:

Complexity grows with automation in software development

As Moore’s law reminds us, this growing complexity of software systems will not slow down [4].

One benefit of automation is that we can offload this complexity and the associated workload to machines that are constantly growing in processing power. They can execute ever-more tasks, ever-faster. Yet, this efficiency in turn brings more complexity and, with it, more work to do.

The requirement to optimise and go faster will never go away, while the sum total of work in front of us will never in itself decrease.

How will Chat GPT sit alongside your testing?

It stands to reason, then, that Chat GPT and generative AI will not “replace” testing or remove the need to invest in QA. Like test execution automation before it, generative AI will provide a useful tool for moving faster.

Yet, there will always be a need for more work and at least a constant (if not greater) need for human input. Testers’ time might be applied less to repetitive tasks like scripting, but new processes will fill the void. Meanwhile, the creativity and critical thinking offered by testers will not diminish in value as these repetitive processes are automated; such creativity should be given greater freedom.

At the same time, your testers will have vital insight into how generative AI should be used at your organisation. Nothing is adopted overnight, and identifying the optimal applications of tools like Chat GPT will be an ongoing conversation, just as the testing community has continually explored and improved practices for getting the most out of test automation frameworks.

Lastly, as the volume of possible test scenarios grows, automation and AI will need a human steer in knowing where to target its efforts, even as we can increasingly use data to target test generation.

How can you use Chat GPT in your testing?

So, what can you do to get the most of Chat GPT in your testing?

If you are a tester or SDET, approach generative AI like you approached test automation tools and frameworks. Skill-up and learn new technologies, considering which are the best fit for your organisation. There are already a range of resources to learn how to leverage Chat GPT in testing, even if many are still quite speculative.

These new skills will not only help you remain competitive within an increasingly crowded job market; they will help you become a leader of beneficial change at your organisation.

If you are a QA manager or director, give your teams the time, space and investment needed to experiment and explore these new tools and techniques.

Change and improvement in testing practices are often blocked because teams are too busy pumping out deliverables using outdated techniques. Rather than hope that generative AI will provide a silver bullet to these growing inefficiencies, sacrifice a fraction of your teams’ available testing time to learn about new tools, and consider how they can best be applied. Remember that your solutions will lie in "engineering augmented by AI", just as test automation offered an accelerator – but not replacement – to Quality Engineering.

Lastly, if you would like to understand some of the ways that generative AI is being applied to test automation today, watch our live expert roundtable. In this roundtable, James Walker, Paul Gerrard and Jonathon Wright discuss the potential benefits and pitfalls of Chat GPT for testing today, while providing live demos of approaches that you can start putting into practice.

Watch Now!

This is original content and was not generated using ChatGPT


[1] See, for example, Shailesh Kumar, “Can ChatGPT replace QA SDET ? End Of All Manual Testing Jobs in 2023 ? OpenAI Chatbot GPT vs Tester”.

[2] Learn more about the Luddites on Wikipedia.

[3] Capgemini, Sogeti (2022), The World Quality Report 2021-22, P. 23. Retrieved from on December 12th 2022.

[4] Learn more about More's Law on Wikipedia.

4 Principles for scalable mobile test automation

3 min read

4 Principles for scalable mobile test automation

Welcome to Part 4/5 in our “Scalable Mobile Test Automation" series!

Read More
Curiosity, Omnext and Specialisterren Announce code-less automation

3 min read

Curiosity, Omnext and Specialisterren Announce code-less automation

Curiosity Software Ireland, specialist vendor in model-based testing, today announced its partnership with Omnext, experts in software quality...

Read More
Curiosity Software announce automated migration testing

3 min read

Curiosity Software announce automated migration testing

Curiosity Software Ireland, specialist vendor of visual test automation, today announced its dedicated solution for mainframe migration testing. The...

Read More
Parasoft and Curiosity partner!

2 min read

Parasoft and Curiosity partner!

Parasoft, the global leader in automated software testing, today announced they have partnered with Curiosity Software Ireland, specialist provider...

Read More
How Curiosity Accelerate Quality Software Delivery - Infographic

2 min read

How Curiosity Accelerate Quality Software Delivery - Infographic

Discover how Curiosity helps organisations delivery better quality software, faster. This infographic highlights key ways that Curiosity's tools,...

Read More
Experiments with GPT Vision for Modelling: A Journey from Screenshots to Whiteboards

6 min read

Experiments with GPT Vision for Modelling: A Journey from Screenshots to Whiteboards

The landscape of artificial intelligence is rapidly evolving. The recent announcement of GPT-4 with vision capabilities by OpenAI stands as a...

Read More
Artificial Intelligence Used for Software Testing, Needs Testing?

13 min read

Artificial Intelligence Used for Software Testing, Needs Testing?

Artificial Intelligence (AI) and Machine Learning (ML)solutions for quality assurance are growing increasingly popular.Seen as the “next big thing”,

Read More
Announcing Test Automation for Technologies Built with Apache Solr

2 min read

Announcing Test Automation for Technologies Built with Apache Solr

Curiosity Software Ireland, a specialist vendor in test data management and model-based test automation, today announced support for Apache Solr. The...

Read More
Mobile: A growing gap in your test automation strategy?

4 min read

Mobile: A growing gap in your test automation strategy?

As traffic fast shifts to mobile devices, you can’t wait for users to discover gaps in your testing coverage and strategy. This calls for a new...

Read More