CommunityDevOps ExchangePartners
10 minutes

Low-Code Test Automation Tips For Developers

Written by
Team Copado
Table of contents

Modern developers have a lot on their shoulders. Following the pandemic, executives reported accelerating the digitization of critical portions of their businesses by as much as four years, and developers are the foundation of those efforts. Meanwhile, they're increasingly expected to take ownership of business processes like Lean and value stream management, while non-coding business experts take on development in low-code platforms. As DevOps teams implement change, risk increases. They need continuous testing to support system integrity as development speeds up and people adjust to new workflows. Low-code test automation is what makes it possible to achieve high test coverage at the volume and pace modern development demands.

But test automation doesn’t happen overnight. How do developers prioritize and implement best practices? It is here where business processes go from burden to asset for developers. We can use some of these traditional principles, focused on process and flow, to guide tool selection and value creation in low-code test automation.

Verifying the Value of Automation 

Automating for automation's sake is not a goal. There's an up-front time investment in automation that gets overlooked amid the buzz. Invest in the wrong thing and the ROI goes negative. Tasks should only be automated if they meet three criteria. 




High Volume

While modern systems are intelligent, they don't reach the human capacity to decide without data. Repeatable tasks provide the data needed to support automation.

Automation is predictive, so it relies on stable and anticipated outcomes; if the desired outcome changes frequently, the process is a poor candidate for automation.

Time investment is front-loaded in automation. More time is spent ensuring that the initial code works for thousands of future instances. If that volume isn't expected, it doesn't make sense to invest the time.


Testing is a prime candidate for automation because it so often meets these three criteria. However, the volume of testing required in modern development makes writing and maintaining test scripts a tall order for many developers. Low-code test automation brings more people into test creation and maintenance. By streamlining the repetitive, tedious parts of test creation and maintenance, low-code tools can save time for citizen and professional developers alike.

5 Low-Code Test Automation Tips

Low-code test automation tools bring another opportunity: a chance to focus on best practices and create a robust, scalable testing strategy. This stems from baking business processes into testing and development. By focusing on the process, developers cut time to deployment and improve quality.  Developers can examine their own process to improve test automation tasks

#1: Starting with scalable test scripts 

Automation in testing starts with building scalable test scripts. You want to minimize the time spent writing and maintaining these scripts. To do so, focus on creating repeatable scripts that can be used across many different test cases. This can be done by breaking each step in code creation down into atomic processes. Those processes should then be defined by a keyword — and different projects should use the same keywords. 

A keyword-driven development tool can then create tests for automatable tasks across all your projects. When using such a tool, aim to keep keyword length between eight to 12 characters. This will avoid waste and streamline maintenance later.

#2: Improve visibility with readable scripts

When scripts are clear and readable, anyone can look at a test case and understand what’s happening. The test cases are written in clear, descriptive language and supported by succinct keywords. Readable tests are all the more important in low-code development where citizen developers modify and execute tests.

Visibility should play a key role in your test automation strategy. When everyone can understand tests at a glance, you can eliminate bottlenecks and test better, faster.

#3: Build flow with platform-agnostic tools and pipeline integrations

Developers should consider where their role fits within the overall ecosystem. Tools and strategies should not be focused on any single platform or device. When you can reuse the same test scripts for mobile and web browsers, you eliminate repetitive work and bottlenecks.

Flow is a common business process principle. When work moves easily through each stage of development, value does too. When workflows hit bottlenecks, value is stuck — and people get frustrated. One example of flow in development processes is the CI/CD pipeline, where changes are continually pushed into a deployable state. Continuous integration builds testing into the pipeline, validating code as it’s checked into the repository. A solid test automation strategy lets you deploy more safely without impeding flow.

#4: Set compliance and security as a foundation  

Compliance and security should set the foundation of code creation. A breach in either can cause costly damage to an organization’s reputation and even impede its ability to operate. Test scripts can also be a particularly vulnerable attack surface. You need a way to ensure sensitive information remains secure throughout testing and that your test scripts comply with local and industry regulations.

Some tools leverage built-in security requirements so they can be enabled at a baseline level in the test script. Design your test cases to ensure security and compliance measures take place early in development, rather than being plugged in as an afterthought.

#5: Pursue continuous improvement with AI

One problem with most low-code automation tools is that upgrades and system changes can break your tests. This means test cases require constant maintenance. That's a time-consuming issue that limits the benefits of automation. Between regular platform upgrades and new features for your custom applications, developers spend so much time maintaining tests that they don’t have time to create new ones or focus on more complicated work.

Some tools leverage AI to address this problem. Broken tests can self-heal in response to system updates. The test either adapts to the change automatically or triggers a notification that further intervention is needed. This is an exception-based approach to update management that saves time and effort. 

Low-code test automation tools should balance control with flexibility to support modern developer needs. Instead of grinding work to a halt with a long ramp-up period, test automation should improve process flow. With the right low-code test automation solution, developers can get tests up and running faster and maintain them more easily. It also makes it easier for them to support non-experts delving into low-code development. 



Book a demo

About The Author

#1 DevOps Platform for Salesforce

We build unstoppable teams by equipping DevOps professionals with the platform, tools and training they need to make release days obsolete. Work smarter, not longer.

How to Sync Salesforce Environments with Back Promotions
Copado and Wipro Team Up to Transform Salesforce DevOps
DevOps Needs for Operations in China: Salesforce on Alibaba Cloud
What is Salesforce Deployment Automation? How to Use Salesforce Automation Tools
Maximizing Copado's Cooperation with Essential Salesforce Instruments
Future Trends in Salesforce DevOps: What Architects Need to Know
From Chaos to Clarity: Managing Salesforce Environment Merges and Consolidations
Enhancing Customer Service with CopadoGPT Technology
What is Efficient Low Code Deployment?
Copado Launches Test Copilot to Deliver AI-powered Rapid Test Creation
Cloud-Native Testing Automation: A Comprehensive Guide
A Guide to Effective Change Management in Salesforce for DevOps Teams
Building a Scalable Governance Framework for Sustainable Value
Copado Launches Copado Explorer to Simplify and Streamline Testing on Salesforce
Exploring Top Cloud Automation Testing Tools
Master Salesforce DevOps with Copado Robotic Testing
Exploratory Testing vs. Automated Testing: Finding the Right Balance
A Guide to Salesforce Source Control
A Guide to DevOps Branching Strategies
Family Time vs. Mobile App Release Days: Can Test Automation Help Us Have Both?
How to Resolve Salesforce Merge Conflicts: A Guide
Copado Expands Beta Access to CopadoGPT for All Customers, Revolutionizing SaaS DevOps with AI
Is Mobile Test Automation Unnecessarily Hard? A Guide to Simplify Mobile Test Automation
From Silos to Streamlined Development: Tarun’s Tale of DevOps Success
Simplified Scaling: 10 Ways to Grow Your Salesforce Development Practice
What is Salesforce Incident Management?
What Is Automated Salesforce Testing? Choosing the Right Automation Tool for Salesforce
Copado Appoints Seasoned Sales Executive Bob Grewal to Chief Revenue Officer
Business Benefits of DevOps: A Guide
Copado Brings Generative AI to Its DevOps Platform to Improve Software Development for Enterprise SaaS
Celebrating 10 Years of Copado: A Decade of DevOps Evolution and Growth
Copado Celebrates 10 Years of DevOps for Enterprise SaaS Solutions
5 Reasons Why Copado = Less Divorces for Developers
What is DevOps? Build a Successful DevOps Ecosystem with Copado’s Best Practices
Scaling App Development While Meeting Security Standards
5 Data Deploy Features You Don’t Want to Miss
Top 5 Reasons I Choose Copado for Salesforce Development
How to Elevate Customer Experiences with Automated Testing
Getting Started With Value Stream Maps
Copado and nCino Partner to Provide Proven DevOps Tools for Financial Institutions
Unlocking Success with Copado: Mission-Critical Tools for Developers
How Automated Testing Enables DevOps Efficiency
How to Keep Salesforce Sandboxes in Sync
How to Switch from Manual to Automated Testing with Robotic Testing
Best Practices to Prevent Merge Conflicts with Copado 1 Platform
Software Bugs: The Three Causes of Programming Errors
How Does Copado Solve Release Readiness Roadblocks?
Why I Choose Copado Robotic Testing for my Test Automation
How to schedule a Function and Job Template in DevOps: A Step-by-Step Guide
Delivering Quality nCino Experiences with Automated Deployments and Testing
Best Practices Matter for Accelerated Salesforce Release Management
Maximize Your Code Quality, Security and performance with Copado Salesforce Code Analyzer
Upgrade Your Test Automation Game: The Benefits of Switching from Selenium to a More Advanced Platform
Three Takeaways From Copa Community Day
Cloud Native Applications: 5 Characteristics to Look for in the Right Tools
Using Salesforce nCino Architecture for Best Testing Results
How To Develop A Salesforce Testing Strategy For Your Enterprise
What Is Multi Cloud: Key Use Cases and Benefits for Enterprise Settings
5 Steps to Building a Salesforce Center of Excellence for Government Agencies
Salesforce UI testing: Benefits to Staying on Top of Updates
Benefits of UI Test Automation and Why You Should Care
Types of Salesforce Testing and When To Use Them
Copado + DataColada: Enabling CI/CD for Developers Across APAC
What is Salesforce API Testing and It Why Should Be Automated
Machine Learning Models: Adapting Data Patterns With Copado For AI Test Automation
Automated Testing Benefits: The Case For As Little Manual Testing As Possible
Beyond Selenium: Low Code Testing To Maximize Speed and Quality
UI Testing Best Practices: From Implementation to Automation
How Agile Test Automation Helps You Develop Better and Faster
Salesforce Test Cases: Knowing When to Test
DevOps Quality Assurance: Major Pitfalls and Challenges
11 Characteristics of Advanced Persistent Threats (APTs) That Set Them Apart
7 Key Compliance Regulations Relating to Data Storage
7 Ways Digital Transformation Consulting Revolutionizes Your Business
6 Top Cloud Security Trends
API Management Best Practices
Applying a Zero Trust Infrastructure in Kubernetes
Building a Data Pipeline Architecture Based on Best Practices Brings the Biggest Rewards
CI/CD Methodology vs. CI/CD Mentality: How to Meet Your Workflow Goals
DevOps to DevSecOps: How to Build Security into the Development Lifecycle
DevSecOps vs Agile: It’s Not Either/Or
How to Create a Digital Transformation Roadmap to Success
Infrastructure As Code: Overcome the Barriers to Effective Network Automation
Leveraging Compliance Automation Tools to Mitigate Risk
Moving Forward with These CI/CD Best Practices
Top 3 Data Compliance Challenges of Tomorrow and the Solutions You Need Today