The effort doesn't only arise during development.
Every new software version creates recurring effort for testing, regression, release, customer acceptance and, where necessary, root-cause analysis.
The critical point: This effort arises on both sides of the software delivery chain – at the vendor and at the customer.
A defect doesn't only cause cost through its fix. Reproduction, communication, follow-up questions and repeated tests alone can account for a significant share of the total effort.
Two sides, one shared process.
The quality of a software delivery is not decided at a single point. It emerges across a chain of development, quality assurance, release, customer acceptance, support and defect resolution.
Effort at the vendor
- Regression testing after changes
- Repeating existing tests for new versions
- Reviewing complex user workflows
- Reproducing customer-reported defects
- Evaluating logs and technical information
- Follow-up questions to customers to reconstruct the workflow
- Developing and verifying fixes
- Renewed regression testing after fixes
Effort at the customer
- Preparing acceptance and regression tests
- Involving key users and business users
- Manually executing recurring workflows
- Documenting test results
- Reporting and describing defects
- Providing additional information
- Repeating tests after fixes
- Re-checking after updates and hotfixes
A defect report describes the outcome – not always the path that led there.
For technical analysis, what matters most is often what happened immediately before the defect occurred.
User action
Which function was opened? What input was made? What steps were performed immediately before the defect occurred?
System state
What technical states existed at that point in time? What processes, resources, exceptions or network activity were involved?
Reproducibility
Can the exact same workflow be run again in the development or test environment?
Technical logs provide valuable information. However, they don't automatically establish the connection between a technical event and the specific user action.
That exact connection is what makes fast root-cause analysis possible.
User action and technical diagnostics become a single reproducible event.
GUITestStudio connects the execution of a real user workflow with continuous technical observation of the running application.
User actions
The steps performed are recorded and can be reproduced later.
Technical information
During the session, CPU usage, memory consumption, network activity, processes, exceptions and stack traces can be captured, among other things.
Repeatability
A recorded workflow can be run again and reused for root-cause analysis and regression testing.
A defect report becomes a reproducible technical event.
The developer no longer has to reconstruct the original user workflow solely from a description. The actual workflow can be replayed and analyzed technically at the same time.
From a manual cycle to a reusable process.
Today
With GUITestStudio
A workflow recorded once can be used many times.
A real workflow performed manually once can become a reusable regression test.
Version A
The workflow is recorded and stored as a reproducible test case.
Version B
The same workflow is automatically run again after the update.
Version C
The test remains part of the test suite and can be run again for further releases.
This creates a growing collection of real, reusable test scenarios with every release.
The knowledge about a workflow, once invested, doesn't have to be manually rebuilt for every new version.
A shared testing foundation for both sides.
The approach becomes especially interesting when standardized tests from the vendor are combined with a customer's own individual test scenarios.
Vendor tests
Standardized tests for central and recurring functions are created and reused across releases.
Customer-specific tests
The customer can record their own real workflows and use them as an addition to the standard tests.
Shared defect basis
When a defect occurs, there is not just a description available, but a reproducible workflow along with technical information.
Not only functional regressions become visible.
The same recorded usage scenario can be run on different software versions and compared with regard to technical metrics.
Memory
Comparing memory consumption during an identical usage scenario.
CPU
Detecting changed utilization and new or stronger load spikes.
Long-term behavior
Observing resource behavior during longer, repeated usage scenarios.
This adds an additional quality dimension alongside functional regression testing:
measurable performance and resource regression.
The economic leverage lies across the entire process chain.
The benefit doesn't come only from saved testing time. What matters is the possible reduction of total effort from the software change through to successful customer acceptance.
| Area | Today's Effort | Possible Contribution from GUITestStudio |
|---|---|---|
| Regression | Repeating manual workflows | Automated, reusable test cases |
| Defect reproduction | Reconstruction from descriptions | Replay of recorded user actions |
| Root-cause analysis | Separate view of user action and logs | Combined view of workflow and technical data |
| Follow-up questions | Multiple rounds of alignment between customer and vendor | More complete, reproducible defect context |
| Customer acceptance | Recurring manual execution | Automated repetition of defined scenarios |
| Performance | Individual technical readings | Comparison of the same usage scenario across versions |
Don't evaluate theoretically – try it out and measure it.
The benefit of GUITestStudio should be evaluated using real processes. A limited pilot program is well suited for this, comparing prior effort with the effort under GUITestStudio.
01 · Root-Cause Analysis
Selected real defects are recorded and reproduced using GUITestStudio.
- Time to reproduction
- Number of follow-up questions
- Time to root-cause analysis
- Time to fix
02 · Regression
Existing manual tests are mapped to automated test cases.
- Number of automated tests
- Manual test time before/after
- Execution time
- Detected regressions
03 · Release Comparison
Identical usage scenarios are run on different versions.
- Memory consumption
- CPU utilization
- Network activity
- Noticeable load spikes
04 · Customer System
A selected customer test system is included in the process.
- Effort for customer testing
- Reproducibility of defects
- Communication effort
- Effort for repeat acceptances
What matters is not the number of features in the tool, but the measurable change to the existing process.
| Metric | Question |
|---|---|
| Time to reproduction | How quickly can a reported defect be made reproducible? |
| Time to root-cause analysis | How quickly can the technical cause be narrowed down? |
| Follow-up questions | How many communication steps between customer and vendor are required? |
| Manual testing effort | How much time is saved through automated repetition? |
| Automated test cases | How many real workflows can be permanently secured through automation? |
| Defects found before release | Which regressions are already detected before customer acceptance? |
| Customer effort | How much does the effort for recurring acceptance and regression testing decrease? |
| Performance | Can changes in CPU, memory and other resources be objectively tracked? |
GUITestStudio as a link between the software vendor and the customer.
The core idea is not to provide yet another testing mechanism.
GUITestStudio is meant to more closely connect the process of testing, release, customer acceptance, defect communication and root-cause analysis, which today is often kept separate.
A real user workflow can become a reproducible test. A reproducible test can generate technical comparison data. And a defect recording can become an event that is traceable and repeatable on both sides.
Test automation
Repeatable safeguarding of existing workflows across multiple releases.
Defect diagnosis
Connecting user action and technical system state.
Reproducibility
The same workflow can be run again on different test systems and versions.
Customer acceptance
Individual customer scenarios can be retained as permanent tests.
Performance
Comparing the technical behavior of identical usage scenarios across versions.
Process cost
Reducing recurring effort in development, support and for customers.
Less effort with every software change.
Every new version today generates renewed testing and analysis effort. Part of that effort can be permanently reduced through reusable tests and reproducible root-cause analysis.
The vendor and the customer don't have to start from zero again with every version.
A test case created once, a workflow recorded once and a defect reproduction documented once can be reused across future releases.
This allows GUITestStudio to become a shared technical foundation for more efficient software delivery and quality assurance.
What automated testing
can actually change
With recurring software testing, the effort doesn't only fall on the software vendor. On the customer side too, workflows need to be re-checked after updates, defects reproduced and results documented. If the same test workflows are automated, a test case created once can be reused on both sides.
Full-time staff
Example staff tied up on the vendor side who, in the scenario under consideration, are occupied with recurring testing, verification and analysis tasks.
Per month at the customer
Five employees each spend five days per month on recurring tests and checks after software updates.
per year
Theoretical annual work volume from both sides, if the stated capacities are fully dedicated to these tasks.
From manual effort to automated test runs
The following calculation is deliberately built as a model calculation. It illustrates the order of magnitude of the potential and makes no claim about the personnel costs actually incurred today.
What does this working time correspond to financially?
For an illustrative example, this considers a fully-loaded rate of €80 per hour on the vendor side and €55 per hour on the customer side. These figures serve solely as a model calculation and can be replaced by actual internal fully-loaded rates.
Vendor side
38,400 hours × €80 per hour result in a theoretical annual labor cost volume of about €3.07 million.
Customer side
2,400 hours × €55 per hour result in a theoretical annual labor cost volume of about €132,000.
Total volume
Combined, this corresponds to a theoretical labor cost volume of about €3.20 million per year.
Not every test can be fully automated
What matters, then, is not the assumption that GUITestStudio replaces all staff. The more interesting question is what share of the recurring manual work can be automated.
* Model calculation based on €80/h on the vendor side and €55/h on the customer side. FTE equivalent based on 1,600 working hours per year. The figures serve to illustrate the possible potential and are not a forecast of actual savings.
A test case can replace work on both sides – without having to be created twice.
A workflow recorded once can be used by the software vendor for regression testing and then reused by the customer for acceptance and update checks. If a defect occurs in the process, screenshots, timeline, technical diagnostic data and – depending on configuration – metrics are available alongside the test result.
A real workflow is performed once.
The workflow is repeated any number of times.
Test cases and sessions can be exchanged between the parties involved.
Defects are examined using the actual workflow and technical information.
What this calculation does not account for
The potential shown deliberately focuses on recurring testing effort. Additional effects can arise from faster defect reproduction, fewer follow-up questions between customer and vendor, shorter analysis times, and earlier detection of regressions. These effects are not yet monetized in the model calculation.
Especially in defect investigation, an additional lever can emerge: instead of support, customer and development having to reconstruct a defect step by step through follow-up questions, a recorded session can directly hand over the actual workflow along with the available diagnostic data.