Usually, the best things we do are those we do spontaneously. These spur-of-the-moment decisions give us an incredibly rewarding feeling, as, technically, we didn’t do anything, yet got to enjoy the outcome.
This, fortunately, doesn’t work with a test automation strategy. Why “fortunately”? Can you imagine the amount of failed projects and lost talents if companies relied on impromptu ventures? If even the tiniest thing goes wrong, and you don’t have a plan B, a workaround, or a rollback procedure, you’re just stuck in a ruin of your own making.
So, let’s figure out why everyone is raving about the importance of calculated thinking and how to apply it to your automation testing strategy to catapult your project forward.
We’ll begin with a road trip. You pack everything you need. Pick the motels you’ll rest at. Choose the landmarks you want to visit. Plan your route according to the weather and traffic. And enjoy your relaxing drive where everything is structured and organized.
This scenario answers the question, “What is a test automation strategy?” It outlines:
It serves as a blueprint for what and how your automated software testing services will be doing. It also accounts for SDLC risks and unexpected scenarios. So, if anything goes awry, you don’t scream and panic but initiate your well-thought-out recovery.
Ultimately, a testing automation strategy is assurance. Assurance of getting your money’s worth from automated testing (AT).
A strategy helps you prioritize which tests to automate. And instead of automating too much, too little, or at random, you work on areas of your product that get the biggest bang for your buck. In other words, you don’t waste time and resources automating tests that might not provide significant value.
The purpose of a software test automation strategy is to outline the steps involved in implementing and maintaining AT. It defines the tools, technologies, and processes you’ll use. It gives a clear direction for your testing team. In turn, you avoid confusion and give your crews a tangible, common goal they’re to work on.
Automated tests can become brittle and difficult to maintain over time. But among the core principles of an enterprise test automation strategy is accounting for the future. This means that a proper strategy prompts building reusable test components and using frameworks that promote maintainability. As a result, updating and upgrading tests becomes easier, saving time and effort in the long run.
If you create a high-quality strategy, integrating it into your development process will be much simpler. Why is that a noteworthy aspect? Because it enhances your efforts. For example, you might set up automated triggers to run tests after code changes. Or you can integrate AT with continuous integration (CI) pipelines.
When automated testing becomes an authentic part of your SDLC, it doesn’t disrupt any existing workflows or team duties. It functions as an extra cog in your marvelous dev mechanism, giving it an extra boost. Essentially, with a test automation strategy, AT carries out its duties without any “surprises” for your QA engineers or project quality.
As your application grows, its complexity is sure to increase. This means that you might need to update existing automated tests, create new ones, or even scrap those that are lacking. A well-defined strategy allows you to scale your test automation efforts in a targeted manner. It also allows you to be proactive by considering how to handle new features and functionalities from the get-go.
Some might think a test strategy for automation testing is just a glorified step-by-step instruction. Well, you don’t have to worry about them as competitors then. Remember, information is power. And a test automation strategy is exhaustive information on how you’re going to enrich your business with AT.
Let’s flip the coin. What exactly do you risk by not having an automation testing strategy? Turning your SDLC more chaotic, perhaps? Not quite. But you might just lose:
That’s not an artistic exaggeration. It’s simply what might happen when the impact of a haphazard strategy accumulates.
Without adequate test case prioritization, you’ll most likely automate instinctively, so to speak. Knowing the benefits AT offers, you’ll want to center on scenarios that are complicated (to ensure their accurate execution) or simple (to save your team’s time). Or you just might decide to automate everything in sight.
In reality, you’re just going to end up with low-value or high-maintenance tests, such as those that:
The result? A bunch of basically useless automated tests, effort that didn’t lead to anything, a confused team, and no real plan on how to get out of this mess.
When you don’t evaluate how AT impacts the testing process (and vice versa), you’re likely to get misaligned test cases. That is, they don’t contribute much, they don’t account for your project’s evolution, and have no definitive goal. Simply put, the tests can become fragile and break easily with code changes. This can lead to false positives and a loss of confidence in the entire test suite.
With software testing services, you always want to focus on crucial product areas. Because you want them to work flawlessly. They are the core of your app. Without a pre-analysis of your project, you won’t know what aspects are key, which of them might be better off with manual software testing, and how to valuably automate what you need.
So, not only will you be applying automation where it’s pointless or even harmful, you also can miss lots of bugs with an unfitting AT strategy.
Without a test automation strategy, you won’t be able to integrate AT into your development workflows. For example:
Briefly, you get stuck between your regular development and automation that seems to be its own thing. The two don’t support each other, existing as separate processes with no overlapping worth.
When you want to introduce new features or see your user base skyrocket, you need to adapt quite a few things. So, let’s return for a moment to the above scenario. Your AT is detached from your SDLC. It does something, but you’re not very sure what. You know that when your project grows, automation is likely to spread out, too. But how do you scale your test automation if there’s essentially no understanding of its place in your project?
You pretty much have this AT appendage dangling from the SDLC. You need to do something with it – yet what exactly? See, the point is that, yes, you’re bound to have a cumbersome and inefficient test suite that struggles to keep up with the pace of development. But the sheer amount of confusion and doubt you’ll get from the absence of an automation testing strategy overshadows every other concern.
Without a clear understanding of the goals and limitations of automation, you might expect too much. Or, even worse, not capitalize on the extent of AT advantages. This can lead to disappointment and a reluctance to continue investing in test automation. And in today’s IT industry, that’s almost always a loss.
Implementing and maintaining productive AT requires specific skills and knowledge. Automation testing specialists need to:
Even if you opt for codeless automated testing, you need a base for it. You need someone who’ll set it up, adapt it to your project, and make it actually work for you. Without a plan for training and development, you might struggle to find or cultivate the necessary professionals within the testing team. Finding talent in the market right now is a task to behold.
To summarize, it’s better to invest some time and effort into creating a custom automation testing strategy than try and survive everything that comes crumbling down when you don’t have it.
Let’s take our step-by-step guide on cultivating your AT a step further. What precisely would you need to include in your strategy? Here’s a breakdown of each component.
You can also add some helpful details like:
And remember that your automation testing strategy isn’t a stale document. It’s a living file that needs care in the form of amendments, updates, and upgrades. It should evolve with your project and business changes to be as productive as you need it to be.
Now, when it comes to including tasks in your testing automation strategy, allow us to simplify the selection process for you. First, we’ll review the baseline. These are the testing types companies automate most often as they provide the largest chunk of value and don’t require too many resources.
Second, we’ll provide you with a brief guide on how to pick tests for your AT efforts. And, of course, we sought wisdom nuggets from our QA engineers here. As we wish to present you with only actionable tips.
So, here are the nearly-always first automation candidates.
Regression testing means running the same set of tests after code changes to ensure existing functionalities work fine. Automation here is ideal because:
Smoke testing involves basic tests to ensure core features run properly after a new build or deployment.
API testing verifies the functionality, performance, and security of Application Programming Interfaces (APIs). They are like communication protocols for your product. Basically, they dictate how an app is to interact with other components or external systems. Automation is a good fit because:
Unit testing focuses on securing the functionality of individual units of code (functions, classes).
Performance testing measures an application’s response times, stability, and resource usage under load.
Automated integration testing focuses on verifying how different components of your application interact and exchange data with each other. It ensures that the overall system functions as intended when individual parts are combined.
Of course, you can always go the extra mile and automate more complex tests. For instance, you can make use of automated accessibility testing. It’s less common due to its intricacy. But for large projects or those that target lots of markets at once, it can be a good investment.
Overall, you should tread lightly when trying to automate scenarios that require human judgment or are quite difficult to streamline, like usability and security testing. But you can still use tools to simplify such tricky tasks. For instance, you can use user journey tracking or vulnerability scanners to pinpoint basic issues.
Yet, generally, a test that’s a perfect candidate for automation is the one that:
Plus, you should pay attention to other aspects that can impact your decision on what to automate.
But these are just some characteristics to look out for. The question is – what’s the process behind your selection?
Collaborate with developers, QA engineers, and product managers to understand their perspectives on testing needs and desired outcomes from automation. Based on these discussions, define the overall goals you aim to achieve with test automation. Or you can reverse engineer it and look for the perks automating a certain test offers.
Work with the testing team to identify core functionalities, critical user journeys, and high-risk areas that are essential to automate for comprehensive coverage. Look for functionalities that are stable and less prone to modifications.
Establish clear criteria for selecting test cases. Center on factors like:
Evaluate your existing test suite and identify manual tests that align with the selection criteria mentioned above.
Consider the value a test case brings to your app’s quality versus the effort required to automate it. Prioritize tests that deliver high value with manageable automation efforts. Aim for a balanced approach that automates tests across different functionalities and user journeys to achieve comprehensive coverage.
Document the test cases selected for automation, along with the rationale behind each selection. This plan serves as a reference point for your team and helps track progress.
If this seems a bit complicated or worrisome to you – it’s okay. After all, while this guide offers you lots of insights on a test automation strategy, it can’t give you a full, real-life picture of how things go.
So, to save your nerves and secure triumph, don’t hesitate to work with external expertise, like QA outsource. They’ll be your objective perspective on the state of your product. And their ample knowledge will help you pick tests that will offer the greatest value for your app’s success.
We anticipate what you might be thinking at that point. What about AI? It can help you create and implement an automation testing strategy. And AI-based tools can be great performance boosters for the team.
It would be smart of you to consider artificial intelligence here. But you do need to be fully aware of the strengths and weaknesses of AI for this task.
These AI uses might just hit your sweet spot. But here’s a spoon of something bitter.
To sum it up, be mindful of how and why you use AI for your project. Don’t go for it with only expecting the best or hoping for an easy win. Cultivating and maintaining your AI models and tools is also a lot of work. So, focus on these three tips:
We’ve discussed the subject of AI-based tools in software testing services at length in one of our previous articles. And if you want to know more, be sure to check the link below.
To get you well-armed for your automation adventure, you should also know the “enemies” you might face along the way. Specifically, we’ll discuss the difficulties that may affect your AT venture.
If you rely solely on automated tests, you miss out on the valuable perspective of human specialists. Automated tests can’t identify unexpected behavior or usability issues that users might encounter. This can lead to bugs slipping through testing and causing problems for real users, damaging the business’ reputation and potentially leading to lost revenue.
Choosing a complex tool that your team struggles to use can grind the testing process to a halt. This delays bug detection and fixes, which can push back release dates and frustrate customers waiting for new features. Additionally, wasted time spent on an unsuitable tool reduces overall team efficiency.
Brittle tests that break easily with minor code changes force QA engineers to spend more time fixing scripts than actually testing new functionality. This slows down the entire testing cycle and can lead to missed deadlines. Unreliable tests also create a false sense of security, potentially allowing bugs to go unnoticed.
A high code coverage percentage might look good on paper, but it doesn’t guarantee a well-tested product. Focusing on covering every line of code can lead to creating a large suite of shallow tests that don’t target critical functionalities. This misses important areas and exposes the business to potential risks.
If your teams don’t have the right data to run tests properly, they can produce inaccurate or misleading results. This can lead to wasting time chasing down phantom bugs or missing real problems entirely. Inconsistent or unreliable test data can cause delays and create uncertainty in the testing process.
Automation excels at functional testing, the nitty-gritty of whether specific features work as intended. But it has limitations when it comes to the broader user experience. For example, automation can’t tell you how user-friendly the software is or if the interface is intuitive.
These aspects require a human touch. They need someone who can assess usability and identify areas that are confusing or frustrating for real users. By neglecting these non-functional needs during testing, you risk deploying software that, while functionally sound, is clunky or difficult to use, ultimately hurting customer satisfaction and the business.
It’s great to be able to learn from others’ mistakes. So, let’s take a moment to thank all the pioneering specialists. Because of the hard work and innovation of QA experts and developers, we now, essentially, have an optimized roadmap to a fine project.
Be sure to take the above issues into account and include “safety measures” in your test automation strategy to minimize the occurrence and impact of potential mishaps.
To finish up, allow us to share a few tips that our team has gathered over the years. These insights, though seemingly simple, have the greatest impact on your test automation strategy. So, don’t take the following aspects lightly.
Setting goals might bring you back to writing yet another school paper. But these “generic” bits will define your entire approach to the automation testing strategy.
For instance, if you wanted to automate your regression testing, you’d need to:
Yet, if you, say, wanted to cut your manual testing by 20%, then you’d need to:
You see, the target is the same – to implement automation. The goal, however, that’s what dictates how you’ll go about everything. So, make sure your expectations for automated testing are crystal clear.
We tend to perceive tools as mere helpers. We get one or a few of them and enjoy a simpler workflow. But the reality is far from this idealistic version.
The truth is, you’re likely to spend quite some time on tool selection. It’s necessary because it’s worth it. So, prioritize options that:
Imagine you have a large net with just a few sizable holes. The net does cover a decent area. But the large (and some small) fish will be able to escape. That’s what focusing on high-percentage test coverage might do to your project – letting in large (and some small) bugs.
It’s better to create narrow tests that target the big game:
Overall, create tests that genuinely improve your product. And avoid spawning a ton of them for the false sense of security with high percentage numbers.
Don’t expect to set up AT once and let it do its magic. With advancements in AI, this may be possible in the future. Alas, for now, a test automation strategy needs care to keep delivering value to you.
So, make sure your automation suite is incessantly productive by:
You should also:
You might have a perfect test automation strategy on paper. But its execution entirely depends on your team. So, before you commence the active phase of automation, make sure you have suitable experts on board.
In the end, you’ll have a legion of experienced professionals, people who are thankful and dedicated to your project, and the opportunity to build an extraordinary product.
But, of course, if you don’t have the time or resources to create a team, you can always look into external expertise. Outsourced QA is now a staple in software development. It has:
Plus, hiring experts is often cheaper and much faster than forming your own. It’s only a matter of what you can do with what you have. So, don’t feel pressured into either option. Both in-house and external QA engineers will do their job well. You only have to look at your situation realistically and decide what would give it a bigger advantage.
You know how people say, “The true destination is the journey”? That’s very much true for automation. The final stop is evident – AT will either work out or not. So, it’s, in fact, the path that matters more: how you approach automated testing will decide where it leads.
We hope that with this guide both your AT journey and destination will lead to greatness. And if you need some help with setting your automation train on the right track – we’re always here.
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