Artificial Intelligence (AI) and Machine Learning( ML) is a very common and important aspect of today’s life. [AI development services](https://artificialintelligence.oodles.io "AI development services") have opened up new business opportunities...
Artificial Intelligence (AI) and Machine Learning( ML) is a very common and important aspect of today’s life. AI development services have opened up new business opportunities for the advancement in every possible human activity, be it medicine or gaming.
In such an atmosphere, it is important to discuss the importance and methods of AI and Machine Learning Testing.
How AI can optimize Testing?
1: Accelerating Timelines
As a manual tester, we have to go through thousands of lines of codes to test any functionality. Artificial Intelligence is a much better approach in this case. AI can scan codes, sort through log files and detect errors in a very short span of time. Additionally, AI is very helpful as it does not get exhausted or make human errors, so it yields more accurate results. By implementing AI into repetitive tests, Testers can focus on testing new features or pay particular emphasis to important parts of the software.
2: Better Automation
A very important part of a QA’s job is to ensure that the new code does not affect the functioning of the existing code. Since more features are developed, the amount of code to be tested expands which can give burden to the Testers.
Artificial Intelligence bots are able to evolve with change in the code. New functions can be adapted and easily identifiable by AI bots. When any modification in code has been identified by AI bots, they can be programmed in a way that it can decide if it is a new feature or there is any defect emerging from changes to the code.
3: More clarity on client requirements
The most important part of Software Testing to understand client expectations. By using Artificial Intelligence, it is possible to examine similar websites and apps to determine what contributes to success among the target audience. AI can help study a large number of competing products to identify key selling points so that both developers and tester know what users want out of a particular kind of software.
Testers can use AI to detect common flaws and errors in code that might affect the flawless functioning of software. So, by having a proper understanding of what the client wants, QAs can create test cases to ensure that the product does not break when it comes to achieving those particular goals.
It is important to remember that incorporating AI into testing processes is still a process in motion. But it is also important to keep an eye on innovations and advancements in this regard.
AI will help tester’s lives easier in aspects of greater accuracy and speed. By detecting bugs quickly, AI can provide testers with the time and mental energy to create better testing methods, write better test scripts and provide ways to the best possible user experience.
Some Artificial Intelligence/Machine Learning Test tools are as follows:
Applitools are basically used for Visual Testing.
The algorithms used in Applitools are entirely adaptive in the aspect of AI and Machine Learning.
Possible AI Type Features using Applitools:
1- Leveraging ML/AI-based for automated maintenance (being able to group together similar groups of changes from different pages/browsers/devices)
2- Modification of comparison algorithms to identify what changes are meaningful/noticeable.
3- Being able to automatically identify which changes are more likely to be bugs vs. desired changes and prioritize functionality.
Testim tries to maximize the advantage of machine learning to speed up the authoring, execution and most importantly the maintenance of automated tests.By this Testers can make sure that their test execution is accurate.
Testim focuses on reducing test maintenance, which is the most common challenge for most of the Organizations.
The main goal of Testim is to help liberate test automation from the exclusive realm of developers and make it simple enough for anyone on the team to create.
Mabl is similar to Test.AI.Mabl terminology provides an interaction between the tests and the application.The interacted tests will run at a predetermined amount of time and alert the Testers.
Three main features of Mabl are:
1- Mabl can automatically detect the changed or modified elements of the application and dynamically updates the tests to handle those changes.
2- Mabl can continuously compare test results to test history to quickly detect changes and regressions, resulting in more stable releases.
3- Mabl is helful in identifying and locating problems quickly, which is helpful in alerting the Testers to possible impacts before they affect the customers.
ReTest tries to bake AI intelligence into their tool, without having any specific programming skills.
Using ReTest tool, Testers do not need to select element IDs to work with when creating a script also. ReTest also automatically takes care of wait times.
ReportPortal provides a machine-learning algorithm which helps Testers to analyze test results automatically.
This machine learning algorithms use all the historical data that is already in the dashboard database for any project. Through which it can analyze the latest execution of test cases which gives them the confidence to the testers about the status of their test cases and execution.
The ability to analyze large amounts of data is the perfect use of machine learning.
Test.AI is an AI tool that provides cognitive abilities to Selenium and Appium. It requires no programming or coding skills and Tests are defined in a simple format that can be easily understandable.
AI can identify screens and elements dynamically in any app which can automatically drives the application to execute test cases.
Sealights is a Cloud-based platform.
With their machine learning-like technology that analyzes both the code and the tests that run against it, it lets you know exactly what your tests are covering and what they’re not. But when Sealights say “tests,” they not only mean the unit tests, the “Tests” mean here is any kind of test, from functional, manual, performance, you name it.
Sealights enable “Quality Testing” which helps in checking the exact files/methods/lines that are updated or fixed by the last build and not tested as it provides high stability. It ensures that untested code will not reach production before undergoing minimal validation.
By going scriptless, you will definitely experience a significant rise in productivity as compared to the traditional way of script based automated testing.
In the evolving Testing phase, Automated Testing has been in the limelight. The benefits are obvious. Check out Why Automated Testing is necessary. A lot of companies are rummaging through automated testing tools to achieve their business objectives. While some find success, many still fail to make the most out of the ‘automated’ approach to testing.
Does that mean that automated testing is not the right way? Do automated testing tools fail to maximize the ROI? A common reason why the time to market is not stepping up is due to maintenance issues. Whenever a change is introduced in the product, the entire automated testing script needs to be updated.
This calls for an increased time and cost investment to be utilized for running the automated testing. It also requires other in-project investments like training for the testers on various scripting languages and familiarizing with new testing tools to create an ideal framework to perform automated testing.
Thankfully, there exists a way which can save product companies from this dilemma and make full use of automated testing techniques. This with the help of Scriptless Automated Testing. If you are new to the term, Scriptless Automated Testing reduces the time taken to create automated test scripts with less/no coding. Testers can simply compose tests by choosing objects from dropdown menus and visually create test conditions without writing complex lines of code.
By going scriptless, you will definitely experience a significant rise in productivity as compared to the traditional way of script based automated testing. Although there is no denying the fact that test automation will work the way it is, Scriptless Automated Testing can reduce the scripting time by many folds and can maintain and manage objects and identifiers automatically.
The success of Automated Testing majorly depends on the automated testing tools. The article, “Select the right automation testing tool for Agile and Continuous Delivery” explains the important points to consider while choosing an Automated Testing tool.
How does an Automated Scriptless Testing Tool Work?
Scriptless test automation comes as a revolutionized approach that offers a very minimal yet powerful interface for testing. You don’t need to spend a lot of time learning a new coding style or a programming language. All you need to do is to operate a drop-down mechanism and you can utilize all the basic fundamentals of automated testing such as modularity and keyword driving. Along with test case management and reporting, you can also fix bugs within the automated script setup.
Easy To Use Interface
Scriptless automated testing test automation brings together the best concepts of test automation together. This includes data driving, keyword driving, sequence of keyword, data per step, the sequence of keyword, UI object definition, and modularity. All these come in an easy to use interface.
The quicker your automated testing concludes, the faster will be your time to market. Scriptless automated testing enables you to easily automate large test suites and fasten the product delivery speed. This saved time can be invested in detecting and fixing the bugs in the earlier phases of the product development lifecycle.
Reduces Cost Of Automation
You would see yourself spending a considerable amount of money to train your in-house resources on automated scripting skills. But if you go scriptless, you save yourself from investing in training sessions.
Functional Testers who have sound product understanding can perform the will find this effective. While the manual testers make use of the scriptless testing, automation engineers can focus on other important aspects such as DevOps, white box testing, unit testing, select the right test cases and create test suites for the scriptless automated testing approach.
Easy To Maintain Scripts
Scriptless Automated Testing is a comprehensive way of running automated tests. Scriptless test suites are easy to maintain – which is important as the maintenance phase is one of the critical aspects of the product development lifecycle. Ease of optimization for the product under test accounts for agility and quick response times. Moreover, you might have experienced that scripts created for automated testing often break during the maintenance phase. This is simply because the framework is generally not created from a reusability or traceability standpoint. On the other hand, scriptless automated testing features traceability of all reusable components.
Removes Tool-Specific Coding
If you successfully remove the tool dependency from automated testing, the overall process of QA and automated testing becomes more efficient. Scriptless automated testing removes the need for dedicated Selenium or QTP professionals and lets your testers create scripts through objects and actions. Later, when there is a need to change technologies in your project, your testers do not need to go through the fuss of any tool or language complexities.
Participation Of Business Analyst And Experts
Non-technical people such as Business Analysts and stakeholders are often far from coding. You would rarely see these people from sharing their thoughts on the highly complex automated testing environments. However, with the help of scriptless automated testing, business analysts and subject matter experts can actively contribute and track progress. This way, you get a perfect blend of technical knowledge and the non-technical domain expert.
Scriptless Automated Testing Advantages In A Nutshell:
Simple, quick, and automatic. What more could you ask for in your automation testing tools?
What’s the fastest way to do anything? Automate it.
The same is true for DevOps or Agile practitioners. If you want to deploy software quickly, you’ll need to test the software rapidly.
How? Automation testing tools.
In today’s post, we’ll give you a list of automated testing tools you can use in your projects to lighten the manual load of software development.
But real quick, let’s define automation testing.
Automation testing tools are critical for freeing up your developers and rolling out software quickly.What Is Automation Testing?
To answer that question, we have to ask and answer another one: What is manual testing?
Manual testing is when developers test software without the aid of AI, similar to how a user would, but it also involves tweaking code, checking log files, scanning for errors, and a whole host of repetitive and time-consuming tasks.
Automated testing brings relief to developers by searching for errors and bugs without the need for human oversight.
Automated testing is especially helpful in large software undertakings, where you have to test the same part of software repeatedly until it meets expectations.
Of course, manual testing has its merits. Humans know best what other humans want to see in their software, so a manual test should always be performed to identify issues or areas for improvement that can be missed by automated testing tools.
With that said, automated tools can test much faster and far more areas than a human can in much less time, making them invaluable for any serious developer.
There are three important types of automation testing:
Now that you know the types of tests you can perform, let’s see the wide variety of automation testing tools you can use for your projects.Best Automation Testing Tools
The more automation tools you have in your toolbox, the more efficient and effective you’ll be.
Here are some of the most popular automation testing tools companies use globally to ensure high-quality software output.
Unified Functional Testing is well-known for regressive and functional test automation.
This tool basically has it all:
With all of that bundled together in a single software package, UFT is all you need to test nearly anything.
Another functional and regressive testing tool, IBM’s Rational Functional Tester (RFT) is equipped to support a range of applications such as:
And much more.
It also brings many interesting features to the table.
One of the most notable features is their storyboard format which enables developers to take screenshots of the application while working on it, allowing novice and professional testers to easily communicate test flow and test actions without writing test scripts.
TestComplete is the first automation testing tool with an AI-powered visual recognition engine that can test with or without scripts on desktop, mobile, and web applications.
It’s another all-in-one functional and regressive testing tool.
One really interesting feature is the ability to scale automated UI tests. The tool scans your application for all available UI and organizes them for future testing so you don’t have to hunt for them yourself.
And, while testers usually have to recreate scripts for different tests, TestComplete does that for you. It creates modular test scripts you can reuse over and over again — accelerating the rate of software development.
Ranorex is a comprehensive automation testing tool that works with web, desktop, and mobile applications.
Ranorex prides itself on allowing you to record and replay tests. And more importantly, allowing developers to create a list of test automation steps without any scripting.
From keyword-driven tests to data-driven ones, you can go as complicated or simple as you want — making it easy to work with non-technical testers and industry veterans alike.
And Ranorex gives you all the features required to test applications remotely if an office far away doesn’t have the technology or the testers on-site to handle their own software development.
Tricentis Tosca bills itself as “the #1 Continuous Testing platform.”
Its top feature is a low-code or no-code approach to testing, making Tricentis the perfect tool for testers who aren’t tech-savvy.
This automation testing tool can pretty much do everything in the book:
And a whole lot more.
Postman is used by over 200,000 companies and is pretty much the ultimate API automated testing tool.
Zephyr was specifically designed to help Agile teams remain flexible and responsive to changing demands during the testing process.
Zephyr integrates with 30 automation frameworks and provides a number of critical features, such as:
TestCraft is a continuous and regression testing tool that can also monitor web apps.
One of their standout features is their drag-and-drop interface which allows you to visually create automated tests.
TestCraft can be set up quickly and the machine learning technology embedded within it can fix any changes in scripts or solve issues during run time.
This automation testing tool can also run on various platforms or work environments, so wherever you have to test, it will allow it.
It offers an intuitive UI that’s perfect for testers without any dev skills whatsoever.
QMetry Automation Studio enables DevOps teams to seamlessly switch from manual to automated testing.
It supports a number of mobile testing needs like barcode scanning, location spoofing, Touch ID, and so on. It also supports both test-driven development and behavior-driven development.
QMetry helps ensure your data is the same across devices and channels and when you’re ready to dig into your data, it offers project reporting and analytics.
If you’re worried about defect leakage, QMetry prevents it from using parallel test execution.
Maveryx is a unique automation testing framework that offers functional, regressive, data-driven, keyword-driven, and UI testing capabilities for desktop and web applications.
Its goal is to speed up time-to-market by allowing expert and novice testers alike, build tests without coding.
Its main feature is an object recognition engine. Essentially, it inspects the user interface during runtime and test execution to identify the objects to test, even if the objects change from the time you created the test to the time you run it.
So Maveryx doesn’t require:
Any of it.
It’s like an old, hardened testing veteran setting up and running all the tests you need to perform for you.
With all this work done for you, software deployment becomes much faster.
Selenium is easily one of the most popular automation testing tools around.
It started way back in the 2000s and has continually evolved since then. Selenium wears the crown for being the preferred web automation testing tool for DevOps.
In fact, Selenium is the core framework for other automation testing tools on this list, such as Katalon, Watir, and Robot Framework.
Selenium offers two parts to its software, WebDriver and IDE.
WebDriver is great if you want to “create robust, browser-based regression automation suites and tests” and “scale and distribute scripts across many environments.” IDE is preferred if you want to “create quick bug reproduction scripts” and “create scripts to aid in automation-aided exploratory testing.”
Robot Framework is a test automation tool for acceptance testing and acceptance test-driven development (ATDD). It also uses a keyword-driven test approach.
Anyone can use Robot framework, regardless of their operating system or application preferences. It was developed by Nokia Networks and is currently sponsored by the Robot Framework Foundation.
Robot Framework’s defining feature is its test libraries. These allow you to extend Robot Framework’s initial testing capabilities to create higher-level keywords from existing ones. The libraries work with Python or Java, and developers can find additional documentation for using Robot Framework in their GitHub repository.
Cucumber is an open source automation testing tool that revolves around Behavior-Driven Development (BDD).
Cucumber stresses the importance of BDD and walks you through how to use this framework for software development.
The goal is to reduce wasteful activities like:
The outcome of using BDD is stronger communication between team members, a better understanding of what the customer wants, and continuous communication for creating a better product using real-world examples.
Cucumber offers OS support and is compatible with Ruby, Java, and .NET programming languages.
Apache JMeter is the third most popular automation testing tool.
It was built for Java exclusively to run functional tests and measure the performance of your software. At first, it was used for web applications but is now used for many other apps.
You can use it to simulate heavy loads on your server or group of servers, a network, or even a single object to test its strength and gauge its total performance under different types of loads.
Thanks for reading ❤
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