Salesforce Test Automation (STA)
Amit Kumar Tiwari
Head of Salesforce Architecture & Practice | Delivering largest Salesforce Implementation for Wealth | Architect Leader | FinTech | Design Thinker | DevSecOps Advocate | Salesforce SME | AgilePM | Open-Source Evangelist
As Salesforce needs to deliver a single source of truth, testing a multitude of data sources, app integrations, development environments, and workflows become mission critical.?
Testing Salesforce is complicated for contemporary organizations trying to match with rapid development and ever-changing customer demand. STA helps improve speed and quality.
But STA can be tricky; and it’s common for test and quality engineers to struggle with aligning to best practices and appropriate tools to use.
To understand ‘Test Automation’, it’s worth looking at the challenges manual testing presents. Think about how many business logic customizations does our Salesforce platform have. Various browsers, devices, systems, and application integrations that can be used. How about every user journey and action that could be taken across the whole ecosystem? Now imagine about manually testing every permutation that above will create.
I am sure you must have realized, building, executing, and maintaining manual tests take a long time. Identifying each user journey is impossible with so many customizations, integrations, individual actions, and many other moving parts.?This makes manually testing our Salesforce platform hugely challenging and time-consuming. Even if we could create a precise list, the time needed to build every test case would kill lot of our development time.
And after all this we observed manual tests are fragile and often break, which eats up yet more time and money. Till certain extent on a small scale, it’s possible to perform system checks manually. But for large businesses, manual testing simply isn’t feasible. And without proper test coverage, risk is introduced.
Why STA? In case of Salesforce, we have three major automatic upgrades every year with lot of new features delivered. And these regular upgrades make the underlying code constantly changes, break manual scripts, force us to execute many regression tests which require many hours to fix. And dealing with Salesforce Lightning and building apps with Salesforce DX introduced further complexities.
It’s not fun to perform hundreds of repetitive tests quite frequently. As a result, testing is rushed, causing buggy versions to be released, preventing users and the business from functioning as expected.
Business Needs Salesforce Test Automation
Salesforce Test automation is an excellent approach for repetitive regression testing because it is fast and accurate. It ensures efficient testing by increasing test coverage.
The good thing is that, with the right strategy and tools, STA can remove lot of pressure from the QA teams (free up time to perform other tasks) and bring considerable benefits to the product delivery and quality.
Key benefits:
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This all means reduced risk, reduced costs, and competitive advantage!
STA Tools – Checklist
Salesforce Tests difficult to automate
Performing automated functional testing in Salesforce is a challenging task as most of the test web pages are dynamic. Here are some of the reasons why Salesforce is difficult to automate from a technical perspective:
How can we automate Salesforce? There are two main paths we can choose for Salesforce Test Automation: Code-based frameworks or No-code automation tools.
What does STA mean for our business?
The power and possibility that comes with using a fully integrated Salesforce CRM is an attractive prospect for modern businesses of any size. To get the most out of Salesforce a robust test automation tool is essential. The choice of right testing automation tool depends entirely on the business requirement, but all have a single objective to provide quality software at speed.
The use of suitable testing methods for automation will ensure lower prices, optimal performance, and more business profits. And implementing correct tests can help us to handle issues as soon as they arise and keep us ahead of any software updates, and free up our time for further innovation, development, and data analysis.