DEV Community

FastPath Automation
FastPath Automation

Posted on

Some practices for RPA developers

As companies increasingly realize the benefits of automation, the need for Robotic process automation (RPA) programmers will continue to grow.

There's already an increased demand from businesses for developers trained in RPA programming. While expectations may differ from company to company, a handful of best practices are crucial to the viability of this code. The following is a list of RPA development best practices that need to be implemented both aggressively and flexibly.

Use high-level frameworks

The best automation has a great design. Before development begins, the programmer should understand the particulars of this manual procedure. Make sure that the procedure design document (PDD) captures the process at both the workflow and keystroke level. When a programmer uses the PDD as a platform from which to design the automatic solution, it guarantees all automation is produced in a consistent and organized manner. The framework starts with a high-level perspective and then enables developers to go deeper into the exact details of every procedure. Most procedures follow a set of regular sequences, such as initialization, cleanup, processing, and error handling. These components should be contained in the PDD to function as a starting point for automating nearly all procedures.

Split procedures into specific workflows

Some business processes are complex, including many tasks, each with many steps. For example, when an accountant enters invoices in an on-line program, they must enter fields from five unique invoices, each with unique measures that accomplish a unit of work. When building automation, each distinct task needs to have its own dedicated workflow. This enables independent testing of components and enables multiple programmers to work on a single procedure. Be mindful when selecting the layout of every component. Normally, the flow and logic of a process remain in a flowchart, while the navigation and data manipulation are in sequences.

Select the activities carefully

Programmers must choose from a broad selection of activities for tackling the numerous process steps in automation. Picking the most suitable activity has a big effect on the visual layout and readability of a workflow. For other developers to have the ability to read, interpret, and follow the workflows created, a programmer should endeavor to create the workflow as simple as possible to understand. This ensures a smooth transition of automation from one programmer to another.

Boost workflow readability

Data comes in two forms: arguments and variables. Arguments are used to pass data from one workflow component to another and can be obtained through the workflow file. Variables may be used only inside one workflow file and need to be held in the innermost scope to reduce clutter. To correctly define workflow files, actions, arguments, and variables, provide the workflow files meaningful names -- and use comments and annotations to explain in more detail what's happening in a part of the automation, such as what arguments are being passed in and out of invoked components. To avoid confusion, add remarks simply to explain sections of the code which aren't intuitive.

These are just a few steps to consider when programming automation. Whatever you do, do it with greatness!

Top comments (0)