Manual vs automated ETRM/CTRM regression testing: which approach fits your platform?

Every ETRM/CTRM team runs regression tests. The interesting question is how. Manual vs automated regression testing isn't really a debate about tools, it's a decision about what your platform can absorb: how often it changes, how much risk sits behind each release, and how much of your team's time you're willing to spend proving the same things over and over.

This piece is a straight comparison. Where manual still earns its place, where automation earns its place, and how to work out which belongs where on platforms such as ION’s Endur, Findur or Allegro.

Manual regression testing: the honest case for it

Manual testing is flexible. A good tester can follow a hunch, notice something that doesn't feel right, and explore a workflow the way a real trader or middle-office user would. That's genuinely valuable for exploratory work, user acceptance testing, and one-off scenarios where the point is human judgment.

It's also cheap to start. No tooling, no framework, no scripting skills. If the change is small and the surface area is narrow, a person with a checklist can do the job.

Automated regression testing: the honest case for it

Automation solves the parts manual can't. Speed, repeatability, coverage, and evidence.

A well-built automation suite runs the same checks the same way every time, in hours rather than weeks. It scales across environments without scaling headcount. It produces a time-stamped audit trail that regulators and internal audit accept without argument. And because it can run overnight or on a continuous integration/continuous delivery (CI/CD) pipeline, testing stops being the thing that holds up a release.

Done properly, it also frees your best people to do the work only they can do: designing new tests, investigating genuine defects, and thinking about risk rather than clicking through the same screens for the fourth time this quarter. We've written more on the specific gains in Why intelligent test automation is becoming essential.

Where manual testing stops working

The trouble with manual regression is that it doesn't stay small.

An ETRM/CTRM platform touches trading, risk, operations, settlements, accounting and reporting. A single patch can ripple through all of them. Vendors release these updates on a regular cadence, and every patch needs the same suite of checks: does the trade lifecycle still work end to end, do valuations still reconcile, do the overnight jobs still complete, do the regulatory reports still tie out?

Doing that manually means a team of testers running the same scripts for days or weeks, every cycle. Coverage drops when the calendar gets tight. Evidence lives in spreadsheets and screenshots that auditors don't accept easily. And when three patches stack up because testing couldn't keep pace with releases, the risk of a bad one slipping through goes up sharply. We've unpacked that compounding effect in When testing doesn't scale, change slows down.

Manual regression also struggles with data. ETRM/CTRM systems behave differently depending on the trades, curves and positions loaded into them. Reproducing yesterday's issue tomorrow is often harder than finding it in the first place 

Where test automation goes wrong (and how to avoid it)

Test automation isn't a silver bullet. Generic UI-based automation tools tend to break every time the platform updates. Test scripts written for one ETRM/CTRM version don't survive the next. And the upfront investment can look daunting if the business case is built around headcount alone rather than release risk and audit cost.

The organizations that get real value from test automation share a few habits: they test at the application programming interface (API) level, they generate tests dynamically from platform configuration rather than hand-coding every case, and they treat the test suite as a living asset. We go deeper on the traps to avoid in Breaking the test automation myths: what really works for ETRM.

Getting the mix right

The honest answer isn't a 50/50 split. Automation should be the default, and manual reserved for the narrow moments where human judgment is genuinely the point: exploratory work, novel edge cases, and the sign-off decisions a person needs to make.

That includes user acceptance testing. UAT tends to sit in the manual bucket out of habit, but for teams whose business users are already stretched, automating the repeatable parts of UAT is often where the biggest time saving sits. Judgment doesn't disappear, the clicking through does. Beyond UAT, automate the checks that run every patch cycle: end-to-end trade lifecycle, valuations, overnight jobs, regulatory reporting.

The saving isn't just time. It's the ability to say yes to a patch, an upgrade, or a new regulatory requirement without your test cycle becoming the bottleneck.

A note on Triangle

Trinitatum built Triangle for exactly this problem. It's a purpose-built, API-level test automation platform for Endur, Findur and Allegro, with dynamic test generation and audit-ready evidence out of the box. If manual regression is slowing your release cycle, or your automation attempts haven't survived contact with a real ETRM/CTRM upgrade, we're worth a conversation.