As we race through the 2020, challenges in front of Testing(more specifically Automation Testing) are increasing by leaps and bounce primarily attributed due to quick Agile development cycle, where development and release cycles involve releasing a set of features and extending those sets in iterated releases. Some of these challenges can be counted as picking the right automation tool, highly Skilled Automation Testing experts, high upfront expanses and testing always being under time constraints.
And it’s very well said that necessity is the mother of invention therefore some of these challenges have given birth to the industry’s newest innovation idea “codeless test automation”.
Codeless testing as the name implies, refers to an approach where test cases are automated with a minimum of code.
Next generation codeless test automation still leverages record and playback, but unlike legacy tools that record “static” test cases, many codeless tools are equipped with machine learning and AI capabilities which provide test re-usability, stability, and minimal test maintenance resulting into the lower training and maintenance upfront cost.

A high bar for testing experts – Test automation requires technical skills to design and maintain test automation framework, scripts and resolve technical issues therefore, in order to fulfil the requirements, strong programming skills and solid test automation tools knowledge is required. This is perhaps the most primary challenge in traditional automation tools as it causes multiple other challenges including dependency on specific resources, attrition, high upfront costs.
Frequent releases, Time constraints – For large projects having a fast release cycle, creating a test environment, and writing test scripts take a huge amount of time and resources which ultimately defeats the purpose of automation testing which was originally aimed at reducing testing times and resources.
Multiple setups required – Traditional automation testing involves writing separate execution scripts for each test case, and then executing through a separate setup dedicated to running, monitoring, and logging the test cases.
Significant Investment – As mentioned above, multiple attributes like Training, hiring specific resource, licensing, hardware and software costs make traditional automation tools an expansive affair sometimes and in spite of understanding the ROI in the long run, many people tend to give up test automation looking at the high upfront costs

This problem had led to devise a solution in the form of codeless testing. Codeless testing creates automation tests without writing a single piece of code or minimal code.
This approach has been continuously evolving with new innovation on technology, focusing more on reducing the coding process and making it more user-friendly.
The ultimate aim is to save time of testers in coding the functionalities and focusing more on Business scenarios, functionalities and on the core – bringing the quality through the optimal test coverage.
There are multiple approaches behind codeless testing. The most prominent are:
– Recording tests and playing it thereafter.
– Creating structured test flow diagrams using test blocks provided by tool(s) and later the test flow is used to run tests.
Codeless test automation functions quite similar to enterprise codeless platforms. Both take complex tasks traditionally achieved by coding and simplify them through automated code generation.
In the codeless test automation, a tester creates a flow by visually binding elements that represent “clicks” in the application. The tester simply goes through flow of the scenario and the code for the test is generated behind the scenes.
Idea behind the codeless automation is that Testers could focus their efforts on Business, testing functionality and evaluating the user experience rather than struggling with code of the testing framework.
There are multiple approaches to codeless testing. The two most prominent ones involving recording manual tests and playing it back and creating structured test flow diagrams that are used to run tests. The record and play approach is the most popular one right now and especially favoured by web-based products.

Make sure the approach or tool you select allows you to build complex logic and achieve interactions with complex web pages.
Common programming constructs such as conditional blocks, loops, arrays etc., should be easy to handle.
One of the biggest challenges with the code based automation tools like Selenium, UFT, Test Complete is that when the application changes, those automation scripts may fail.
Codeless automation can resolve it by gathering more than one element locator during the recording. In case a locator is no longer identified during playback, the other locators for that element can be explored. Therefore smart element locators are an opportunity for the codeless automation in creating stable tests with less maintenance.
Record-and-playback tools that require wait times between steps are again a challenge for the testers.
In conditional waiting, approach, scripts wait intelligently until a condition is true and then proceed as soon as possible.
This drastically cuts down on the execution time of the automation suite. Codeless tools should allow testers to insert conditional waiting. Alternatively, the tools took care of this behind the scenes.
The ability to configure the identification criterion for a complex UI element is very important. A good solution would visualise this.
One of the major limitations of older record-and-playback tools is the absence of control structures, such as loops and conditional clauses.
In coded automation frameworks, testers use loops and if-else clauses to control the flow of scripts. This is a necessary requirement for codeless solutions.
Test representations should reflect business process flow and directly connect with how your end -user exercises the system.
Recording a scenario is fairly easy to do. As the user acts on an application, the tool records those actions.
However, when a user validates the actions, that does not usually automatically include a web action which required a manual action of addition of assertions, again a time-consuming task.
That’s the opportunity for the codeless automation. The process of adding assertions should be as simple as adding the navigational steps.
A codeless approach should incorporate modularity and re-usability at the centre of the design. Oftentimes, this is overlooked. Remember, it is not just about easy test creation, but sustainability across multiple releases and changes that the application goes through.
Some of the existing record-and-playback tools do not allow to edit recorded scenarios simply. In the event of a change in the application flow, you have to re-record the entire scenario.
Some steps are common in almost every application and reused in multiple scenarios e.g. login scenario. In case there is a change in that common step, every test needs to be recorded again which is again a time-consuming task.
Therefore, codeless tools should allow to record common steps that they can then insert into any test flow. This would not only save time, but also promote reusability and make maintenance much simpler.
Codeless automation tools should make the updates in the recorded scenario as simple as they can.
The codeless automation system should be accessible, with the information flow managed transparently. It should be simple enough for extended teams to use, as well as contribute.
Testers should be able to record a scenario once on a given browser, and be able to play that recording on any other major browsers.
Adequate reporting is a must have requirement for any test automation. An automatically generated report with details on the description, screenshots should be quite helpful for a tester to analyse the failure.
In spite of providing the seamless records and play feature, there would still be pressing need to customise the code depending on the specific application’s requirements and functionalities. Hence testers should have the ability to insert code within the tests for those edge cases. For extra points, don’t limit this to UI-specific code, such as JavaScript.
There are always occasions where out-of-the-box support is not enough. It should be easy to extend the functionality while maintaining the same level of native simplicity.
Older record-and-playback tools required testers to click a button within the tool to execute their tests. In the era of DevOps, test automation is a key ingredient in continuous integration and continuous deployment.
Tests should integrate with such pipelines and automatically execute when triggered. For faster execution times, tests should be capable of running in parallel as well.

Codeless automation testing tools are a perfect solution for the testers to speed up their work. These tools have taken over the market owing to their ease-of-use and speed. Codeless test automation is particularly useful when it comes to agile software development process .
Codeless Test Automation offers several benefits as below.
Needless to say, when testers need to code their tests, they usually undergo specialised training to learn programming. With the introduction of codeless automation, it is easy to train a number of testers in creating automated tests, without any need for scripting skills.
When testers don’t have to spend all their time trying to automate their regression tests by writing code, they have more time for enhancing the test coverage, tests with a variety of data / business data and exploratory testing.
Defining test data inputs for multiple test scenarios becomes a headache and time-consuming task.
Codeless takes a layered approach to test data definitions, allowing default data values to be embedded within the application.
Individual test steps can then modify the default inputs as required for that specific test case.
At run time, environment and system properties can be invoked to pass execution specific data inputs, such as service host locations, or user credentials.

Although codeless automation provides multiple benefits, there are some limitations that are worth listin
One can get into a lot of maintainability issues, If the tests are not designed to be modular and reusable, especially when the number of tests drastically grows, and application is continuously changing
During the analysis of some codeless test automation tools, users have raised the need of more documentation requirement.
One prominent feedback for some codeless framework also highlights the lack of few expected features.
Debugging will be difficult due to the limited facilities from the tool.
Codeless testing, just like code-based continuous testing, relies on four key elements to succeed: Creation, Execution, Lab, and Analysis. Connecting test flows to a reliable creation and skill set matched tool, that can execute the tests reliably at scale from CI or other scheduler against a solid lab, and which then delivers a single pane of glass from a reporting and analysis standpoint, is a significant leap towards mature continuous testing in DevOps.
Maturity – With the tried and tested traditional approach, there are use cases, best practices, and plenty of opportunities for teams to learn from their colleagues who have done it all before.
Trust – To adopt a newer approach like codeless, teams have to make a leap of trust. This is why it’s crucial to seek advice and information from trusted third parties and tech experts in order to make decisions on how best to integrate codeless into your software development processes.
Change of mindset – Same as with any new ways of working, codeless testing calls for a new mindset – and willingness to change which also requires a good leadership, motivation and a comprehensive plan to make it happen.
Co-existence of open test framework tools – Since codeless automation is still getting matured, there are many scenarios, where traditional code-based automation tools will suit more where testing tools like Selenium shouldn’t be overlooked.
Here is the list of 10 useful codeless automation tools which might be helpful to understand the presence of codeless trend.
First of all, when we say Codeless, it’s not codeless. It’s hiding code under the hood. The instructions given by the testers on the GUI level are translated into actual code by the solution and then executed.
There are plenty advantages of codeless automation tools mainly the time and cost saving whereas few disadvantages include need of more modularity, features and documentation.
In conclusion, codeless automation is the future. Though the benefits of codeless outweigh the issues with them, however since codeless automation is still evolving, coded automation tools still have their own importance, need and benefits.
