Curiosity Modeller

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

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    Enterprise Test Data

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

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      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.

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

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                      Better Software, Faster Delivery!

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

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

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                              Explore Curiosity's Resources

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                              Creating Quality Since 1995

                              Curiosity are your partners when designing, building and rigorously testing complex systems in short sprints!

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                              Perfect Test Data

                              Don't lose time finding and making test data. With on-the-fly lookups, refreshes, and integrated data generation, parallel tests, teams, and frameworks self-provision the data they need. Test Data Automation provides rich data-as-a-service, enabling the rapid and rigorous testing needed for continuous software delivery.

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                              Test Data Bottlenecks Holding Development Back?

                              Today, far too much time is wasted in the SDLC finding and making data. Testers and developers often hunt manually for integrated data, making data in databases, files, messages or via the front-end. The data must align perfectly across systems, but often tests fail due to unstructured lookups. Data further leaves systems exposed to costly bugs, as it lacks combinations needed in testing, while testers don’t have time to create complex data by hand. Further time is lost as tests compete for data in shared environments, using up each other’s data as “parallel” teams wait for data to become available. These bottlenecks usually grow with the adoption of test automation and CI/CD. A structured, automated approach is needed to create environments filled with rich data on demand, finding the combinations needed in testing on-the-fly.

                              Free test data research


                              All the data testing, development, and CI/CD needs – available on-the-fly

                              Test Data Automation removes the time lost finding, making or waiting for test data, enabling automated “find and makes” that occur on-the-fly during testing, development and CI/CD. Testers and developers can submit on demand data requests using self-service forms created in intuitive business language, receiving the exact data combinations their tests need as-a-service. Each query can be made reusable for manual and automated testing, seamlessly maintaining a shopping cart of standard data “finds”. Running this catalogue of automated queries at the start of a sprint or data refresh automatically populates parallel environments with rich test data, providing bottleneck-free data to accelerate testing and development.

                              Automated Test Data Find and Makes-1

                              With Test Data Automation, testers, developers, and CI/CD pipelines access all the data they need to find bugs earlier and at less cost to fix. Integrated data “makes” fill any gaps needed to satisfy queries as they are submitted or run from the central catalogue, using query parsing, cloning and synthetic data generation to create all the combinations needed in testing. Test Data Allocation further avoids time-consuming data clashes, locking data combinations for each test to ensure that teams and frameworks work seamlessly in parallel. Integrating the automated “find and makes” with test automation frameworks and CI/CD pipelines lets tests self-provision the data they need on-the-fly, rapidly running the rigorous and targeted tests needed for continuous software delivery.

                              Free eBook - Test Data and AI


                              Accelerate your testing and development

                              Watch these examples of Test Data Automation for SQL Server and Oracle Databases, to discover how:

                              1. Manual and unstructured approaches to data lookups compare to structured and automated “find and makes”, in terms of speed, consistency, and predictability.

                              2. A test data mart produces central and aggregated views of data at its technical level, enabling automated and on-the-fly data lookups for both manual and automated testing.

                              3. Creating business views on top of the test data mart lets testers and developers search for data using business language, providing self-service data without bottlenecks or constraints.

                              4. End users can request data by casting queries or filling in configurable forms, using menus, fields, and checklists to receive the data they need, when and where they need it.

                              5. Queries and requests for new data automatically add attributes to the data mart, maintaining complete data sets to drive rapid and rigorous testing.

                              6. Testers and developers can store reusable queries as they fill in self-service search forms, building a standardised library that auto-populates environments with rich test data.

                              7. Test Data Allocation enables parallelised testing and development, locking data to ensure that no team, test, or framework transacts against data needed by another.

                              8. Automated data “makes” create missing data automatically as data requests are made, enabling the test coverage needed to find bugs earlier and at less cost to fix.

                              9. If there are insufficient rows of data to satisfy a query, SQL parsing automatically creates the missing rows on-the-fly, generating functions to find similar data to satisfy the query.

                              10. Automated data cloning produces missing rows needed for rigorous testing, “crawling” across tables to create consistent data that satisfies all the relationships needed in testing.

                              11. Synthetic test data generation creates data combinations needed in testing and development, using intuitive configuration and visual flows to generate rich test data.

                              12. The integrated and on-the-fly data creation seamlessly inputs new data as developers issue data lookups, populating all the data needed via message queues, files, and APIs.

                              13. Linking a standard catalogue of data “finds” to “makes” automatically creates the data needed at the start of a sprint, creating missing data attributes to satisfy every query.

                              14. The integrated find and makes fill environments with rich data-as-a-service, running the catalogue of standard queries to populate traditional instances, containers, and virtual databases.

                              15. “Exploding” data based on the catalogue of queries made by testers and developers automatically creates a varied set of rich test data for rapid and rigorous testing.

                              16. Model-based data design creates intuitive flowcharts automatically from the queries made by testers and developers, using generation algorithms to create the data needed in testing.


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                              Discover how better user stories and better tests build better systems.

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