Manual testing becomes difficult to sustain as a regulated system grows
A release needs executed tests and documented evidence, and that evidence needs to trace back to the relevant requirements. Done by hand, that work grows with the system until releases slow to a crawl. Six week release cycles are common. Automation is how teams get that back down.
What the tests need to record
In a GxP system, a passing test also needs to leave a clear record of what was tested and what happened. It has to show what was tested, against which requirement, on which version, with what result, executed when and by whom or by what.
The automation framework needs to capture those details and keep the results in a form that can be reviewed later.
Governs electronic records and signatures in the US, and it applies here. Automated test results stored electronically need integrity controls, audit trails, and — where a person approves them — compliant electronic signatures.
Traceability
The link from requirement to test to result is the backbone of the process. A requirements management system holds the requirements, tests are linked to them, results are linked to the tests, and a traceability report shows coverage: every requirement has a test, every test has a result.
Automation helps because the links can be maintained by the system instead of by someone continually updating a spreadsheet.
Testing changes as the system evolves
A practical approach is to put the test suite into the delivery pipeline. Every change triggers the relevant tests, results are captured automatically, and a change that breaks something is caught before it reaches a validated environment.
This is broadly in line with the FDA's Computer Software Assurance guidance: focus validation effort on what carries risk, use automated assurance for the rest, and stop treating every release as a full revalidation from scratch.
What to automate
Not every test needs to be automated. The biggest return usually comes from regression testing, where the same checks have to run on every release.
Regression
The same checks that have to run on every release.
Functional
Tests against defined requirements.
Integration
Tests across system boundaries.
Performance
Where load matters.
Exploratory testing and user acceptance still involve people, and the strategy documents which is which.
SequoiaAT treats test automation as central to life sciences software reliability and compliance, building precise, repeatable tests that reduce manual error and speed validation. The public evidence is direct: on an NGS mutation calling platform, a Cypress framework covered 98 percent of frontend workflows and every pipeline stage was validated programmatically, which shortened releases and cut post release defects. integrated into their pipeline and cut release cycles from six weeks to two.
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