Products

Problems
we solve

We can help your business

Request a Free Demo / trial

Insights

Insights
29 April, 2025

Test Automation: Do Custom Frameworks Hide a Dirty Secret?

Test Automation Framework Secret

It’s 2025, yet many organisations still develop bespoke test automation harnesses and frameworks, stitching together a modular in-house automation solution.  This is due to various invalid assumptions and short-sighted commercial decisions.

It baffles me, but some people genuinely believe they’ll save money, increase coverage, and create a better automation solution than they’d get with a professional tool, built by dedicated developers and with enterprise-grade support.

Well, here’s a little secret… the chances of successfully achieving this are so slim that we might as well call them zero.

Test Automation Framework: A Quick Definition

For simplicity’s sake, in this article, I will use the blanket term framework to refer to both custom automation frameworks (structured platforms for organising, executing, and reporting automated tests) and test automation harnesses (a collection of tools, stubs, and drivers to facilitate automated testing).

The key point is that they are in-house automation testing setups, often leveraging a patchwork of open-source tools and custom code to provide a bespoke, low-cost alternative to professional automation solutions.

The Problem With Frameworks

Over the past three decades, I’ve seen my fair share of custom automation frameworks, and none have lasted long or achieved their stated goal.

Look, I’m sure there are exceptions, but in my experience, bespoke automation frameworks take too much effort to build and quickly descend into an unwieldy, fragmented, and unmaintainable mess.

They introduce more challenges than they solve, often only apparent after substantial investment.

Without exception, every framework I have encountered has required exponentially more maintenance than anticipated, and most of them ended up becoming full-time software projects in their own right.

In fact, now I think about it, maybe frameworks are part of why automation used to have such a bad reputation.

Why Do People Still Use Bespoke Automation Frameworks?

Automation frameworks have repeatedly failed to deliver business benefits, yet people still waste time and effort developing them. Why? Well, there are three main reasons: naivety, penny-pinching, and dare I say it, hubris.

It’s incredible how many development teams believe their testing challenges are so specific that only a bespoke solution will suffice.

These teams assume that building in-house will give them better test automation than a professional software tool built by dedicated development teams, and that their patchwork solution will allow them to add features and fix issues according to their own priorities and timelines.

Would you develop a bespoke Office suite to replace MS or Google? No, that would be insane. Affordable, robust, and professionally supported office solutions exist; the same is true for test automation tools.

Plus, what happens when the build team moves on and the core test team are left to maintain things. Do they have the skills?

The absence of upfront licensing fees makes open-source-based custom frameworks appear cost-effective, especially for budget-conscious organisations, but this is a false economy.

Building a Robust Framework Requires Extensive—and Almost Universally Underestimated—Time and Expertise.

What begins as a simple solution inevitably grows more complex as new features are needed, consuming valuable development resources that could be focused on product innovation. As the framework evolves, technical debt will accumulate.

Then, there are the scope limitations; thesein-house frameworks typically support a narrower range of technologies than commercial solutions. As your application landscape diversifies, your framework may be unable to handle new technologies without significant rework.

And you know what? Even if you manage to pull off the almost impossible and develop a reasonable bespoke framework, you’ll be heavily dependent on a few key—and probably expensive—individuals who understand its inner workings. Knowledge gaps will become obvious when these team members leave, and your solution will rapidly deteriorate.

The Good News: You Can Get All The Benefits With A Professional Test Automation Tool

Instead of messing around with a flaky automation framework, you can get all the cost, coverage and flexibility benefits with a professional test automation tool. OpenText Functional Testing (formerly UFT One) is a leading test automation tool for a reason. It provides a viable solution, addressing all the limitations associated with frameworks while providing additional benefits:

Comprehensive Technology Coverage: Unlike most custom frameworks, OpenText supports over 200 technologies out of the box—from web and mobile to legacy systems, SAP, Salesforce, and more. This breadth eliminates the need to develop and maintain multiple frameworks for different parts of your application landscape.

Reduced Maintenance Burden: It’s a professional tool, so OpenText Functional Testing handles all the tool maintenance, be it bug fixes, patches, or compatibility updates. This frees your team to focus on creating valuable test cases rather than maintaining infrastructure.

AI-Powered Resilience: OpenText Functional Testing’s AI-driven object recognition capabilities significantly reduce test maintenance efforts by automatically adapting to UI changes. Implementing this sophisticated feature in a custom framework would require an unrealistic development effort.

Continuous Innovation: OpenText invests heavily in R&D to keep pace with emerging technologies and testing best practices.  OpenText Functional Testing benefits from these advancements without additional development effort from your team.

Professional Support: Access to expert support, comprehensive documentation, and a community of users provides resources that in-house frameworks typically lack.

Real-World Comparison

Let’s examine how OpenText Functional Testing compares to custom frameworks across key dimensions:

Custom FrameworksOpenText Functional Testing
Initial Setup TimeMonths to years of developmentHours of configuration
Technology CoverageLimited to what the team can build200+ technologies supported
ScalabilityOften limited by initial designEnterprise-grade, built for scale
Knowledge DependencyHigh risk of knowledge silosStandardised, documented, widely used
Total Cost (3-year)High (development + maintenance)Predictable licensing model
Innovation PaceDependent on internal resourcesContinuous updates and improvements

Bespoke Automation Frameworks Don’t Work. You Need to Make A Strategic Choice

Custom frameworks may seem appealing initially, but even if you manage to get them going, they can rapidly become a complete dog’s dinner.

Successful testing strategies aren’t built on reinventing the wheel but leveraging proven commercial solutions and focusing team expertise on creating tests that deliver business value.

You need to be realistic—there are existing, professional tools that cost less money and do it better.

The long-term advantages of a mature, commercial solution like OpenText Functional Testing are proven.

OpenText Functional Testing is the sensible option for organisations serious about achieving automation while getting the maximum value from their team.

Ready to move beyond the limitations of custom frameworks? Discover how OpenText Functional Testing can transform your testing approach today.

Stephen Davis
by Stephen Davis

Stephen Davis is the founder of Calleo Software, a OpenText (formerly Micro Focus) Gold Partner. His passion is to help test professionals improve the efficiency and effectiveness of software testing.

To view Stephen's LinkedIn profile and connect 

Stephen Davis LinkedIn profile

29th April 2025
AI for Test Data

How to Implement AI for Test Data: 10 Considerations

Test data has always been one of the slowest, least glamorous parts of software testing. It is rarely strategic work, but it holds everything up. No matter how good your test plan is, weak data can make the whole exercise unreliable.

Choosing Performance

How to Choose a Performance Testing Tool

If you’re looking for a new performance tool or new to performance testing, it can be a tough subject to get your head around. I’ve been involved in the industry for 3 decades, and during that time, it has evolved massively. Increasingly, I talk to people at companies who’ve never

DevWeb is better than JMeter

5 Ways DevWeb Is Better Than JMeter

JMeter often becomes the default because it looks free. There is no license fee, and it appears flexible enough to do almost anything. But JMeter’s ease is often a myth. In reality, it is rarely the most sensible or low-cost choice.

Testing is Vital

Seriously Though, Five Reasons Testing is Vital

In the last main Testing Times edition (April fools day), I argued, quite ludicrously, that testing is a waste of time. That it slows releases, costs money, and ruins everyone’s fun. Judging by the comments, a few readers took it a bit too literally. So let’s be serious for a minute.

Aviator Testing AI

DevOps Aviator: AI Made For Testers

DevOps Aviator brings generative AI into software delivery to help test teams move sooner, reduce manual effort, and get answers faster. It is part of the broader Aviator suite: a set of AI capabilities embedded across OpenText products.

Testing is a waste of time

5 Reasons Testing is a Waste of Time

Let’s be honest, testing is what teams do when they don’t trust their developers. It’s a tax on speed, a relic from waterfall days, and a crutch for people afraid to ship. It just slows down releases, kills creativity, and wastes budget that could be better spent on another sprint.

OpenText Summit 2026

OpenText Summit: Why This Free Event Is Worth Your Time

You walk into a room where people are talking about the exact problems you wrestle with: tricky deployments, clunky processes, and how to test faster. Sometimes, the right conversation with the right person is enough to unlock a solution or a possibility you hadn’t even considered.

Python

Functional Testing 26.1: Adds Python, Cloud Testing, and more AI

With 26.1, OpenText is giving you something concrete: Python‑based automation, AI‑assisted verification, and cloud labs that fit into your existing CI/CD. This turns functional testing from a separate QA activity into a shared capability that developers, SDETs, and testers can all contribute to.

LoadRunner AI

LoadRunner 26.1: A New Direction in Performance Testing?

OpenText’s version 26.1 is a clear statement of where the Performance Engineering (LoadRunner) family is heading: AI-assisted, simplifying complex tasks and enabling your team to be more productive. This creates a very practical question: how do you buy and deploy these new capabilities in a way that actually moves the needle on risk, cost, and delivery speed?

Insights

Search

Related Articles

To get other software testing insights, like this, direct to you inbox join the Calleo mailing list.

You can, of course, unsubscribe 

at any time!

By signing up you consent to receiving regular emails from Calleo with updates, tips and ideas on software testing along with the occasional promotion for software testing products. You can, of course, unsubscribe at any time. Click here for the privacy policy.

Sign up to receive the latest, Software Testing Insights, news and to join the Calleo mailing list.

You can, of course, unsubscribe at any time!

By signing up you consent to receiving regular emails from Calleo with updates, tips and ideas on software testing along with the occasional promotion for software testing products. You can, of course, unsubscribe at any time. Click here for the privacy policy.