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Choosing the Right Automation Testing Tool: A Guide

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Testing is an essential step in any Software Development Life Cycle (SDLC) aimed at confirming the product’s quality and eliminating errors to ensure the final product is free from defects. There are two testing methods: Manual testing and Automation testing. Manual testing involves testers meticulously following a step-by-step process to identify defects in the developed product. 

However, this approach often leaves little room for exploratory testing and reporting, particularly when Agile processes show no sign of decline. In contrast, Automation testing relies on predefined actions, produces consistent results, and generates intelligent reports, offering greater efficiency for both the organization and testers.

In this blog, we will delve into the critical decision of choosing the right automation tool. With a plethora of options available in the market, selecting the most suitable tool can be a challenging yet crucial task. We’ll explore the factors to consider and provide insights into some of the best automation tools that cater to web and app testing needs. Whether you’re a seasoned QA professional or a newcomer to the world of test automation, this blog will help you make informed choices, enhancing the effectiveness of your testing efforts. But before we go ahead, let us first understand the basics of automation tools. 

Why do we need automation tools?

Automation testing improves the efficiency of testing, ensures accurate results, and expedites the execution speed of time-consuming and repetitive manual tasks. The testing process in the SDLC gets completed with minimal human intervention which leads to faster sharing of results when the build is shared.

What are the benefits of automation?

Automated testing has benefits like higher reliability, availability, productivity, reduced operating costs, and increased performance.

How to choose the right automation tool?

There are many automation testing tools in the market and the new tool gets launched every year, some are open source and some are charged. How to choose the right tool for your project? Below are some tips that can help you make informed decisions:

  • Determine the scenarios to be automated.
  • Evaluate and investigate the automation options that suit you the best as per your budget and requirements.
  • Choose a couple of tools that suit your requirements.
  • Conduct test trials and choose the best one.
  • Share the information with the stakeholders and get their consent.
  • The selection and utilization of the most suitable tool depend on the project’s specific requirements, as there is no universal “best” tool for all projects.

The below-listed tools are some of the best automation tools that can be used for both web and app testing.

Popular tools in the market
  • Appium

Appium is a common open-source framework and a cross-platform tool that executes the test scripts in multiple platforms like Android, iOS, and Windows using the same API. Additionally, Appium provides support for multiple programming languages and automation testing frameworks, such as Java, JavaScript, Python, PHP, C#, and more.

Using Appium, you can conduct app test automation for the following :

  • Native mobile apps: These apps are written using Android, iOS, and Windows SDKs installed on the device.
  • Mobile web apps: Web applications can be opened in mobile web browsers such as Chrome and Safari. Additionally, you can access mobile web applications by utilizing in-app browsers on both Android and iOS platforms.
  • Hybrid apps: These applications are constructed with a wrapper around a “webview,” which is a native control enabling interaction with web content. You have the option to access hybrid apps either through a physical device or via a browser URL.

KATALON

Katalon Platform is an automation testing software developed by Katalon, Inc. This software is built on top of the open-source automation frameworks Selenium, and Appium with a specialized IDE interface for web, API, mobile, and desktop application testing.

Katalon Studio is a low-code platform that has all-in-one for automation testing for web, API, mobile, and desktop (Windows). This tool has the following features that can help in speeding up the QA: 

  • Powerful Record and Playback: This is the simplest method for generating test cases in automation testing. It records the actions that you perform and converts them into an executable code in the back end. This functionality is particularly useful when the process of identifying objects is laborious and challenging.
  • Behavior-Driven Development (BDD): BDD is a testing methodology widely used in many agile teams. Katalon Studio supports Cucumber Runner for BDD and seamless integration with Jira.
  • Smart XPath: When there is an update in the application, it is difficult to fix the element location. Katalon Smart XPath leverages AI to automatically locate web and app elements, making it easier for you to adapt to the frequent changes that accompany each new release.
  • Smart Wait: This is a newly introduced feature in Katalon Studio 7 that handles the Wait issues in Selenium. With this feature, Katalon Studio will automatically pause until all front-end processes of a web page have been completed before proceeding to the next steps. This ensures uniform execution outcomes and helps QA engineers save considerable time by avoiding unnecessary investigations into false alarms.
  • Image-based Recognition: This is considered a breakthrough feature in test automation and is under development. In its initial release, end-users will be able to engage with application elements using keywords, eliminating the need to write scripts for element location.
  • Dual-editor Interface: Katalon Studio offers manual and scripting options allowing automation beginners to commence automation immediately, while also providing automation experts with the capability to create advanced test scripts.

Selenium 

Selenium is an open-source framework for a range of tools and libraries that aims at supporting browser automation. It also provides a playback tool for authoring functional tests across most modern web browsers, without the need to learn a test scripting language.

Benefits of Using Selenium:

  • The Selenium test script can be written in different programming languages like Java, C#, Python, Ruby, PHP, Perl, and JavaScript.
  • Selenium offers record and playback features with its browser add-on called Selenium IDE
  • The powerful Selenium WebDriver helps you create the most complex and advanced automation scripts.

TestComplete 

TestComplete is a GUI-based test automation tool that can be utilized for most desktop, web, and mobile applications. This tool can be used by both technical and non-technical users.

Features:

  • Code or codeless test cases are created using record & playback, or script in JavaScript, Python, and VBScript.
  • Utilizes ML and AI for object recognition.
  • Supports testing enterprise applications such as SAP, Oracle EBS, and Salesforce.
  • Parallel execution of UI tests in the cloud or local machine. 
  • Integrates completely with commonly used tools such as CI/CD, test management, issue tracking, and version control, giving you a complete testing lifecycle.

Ranorex Studio

Ranorex Studio is used by many enterprises worldwide as an all-in-one tool for testing desktop, online, and mobile applications. 

Features:

  • This code is easy to use for beginners but very productive for automation QA with a complete IDE and a codeless click-and-go interface. 
  • Reliable Object Identification is possible for web items with modifying IDs. It supports test maintenance by sharing the object repository and code modules.
  • Customized test reports can be created with the built-in Selenium WebDriver for parallel or distributed test case execution.
  • The test execution is video recorded which helps to debug the failure test cases without re-running. Also supports commonly used tools like Jenkins, Jira, TestRail, Git, Travis CI, etc.

Kobiton

Kobiton is an AI-driven scriptless automation tool that ensures comprehensive quality and release at speed. this tool easily automates Functional, Performance, Visual, and Compatibility tests.

  • This testing tool offers codeless capture and runnable automation.
  • It creates scriptless Appium code 
  • AI-assisted correction
  • Automated debug detection
  • Performance Testing
  • Visual Validation & UX Testing
  • In-depth session exploration and reporting
  • Seamless CI/CD integrations
  • Unlimited user policy with Access to Real devices in the cloud or via on-premises set-ups.

ACCELQ

ACCELQ is also one of the popular AI-powered Codeless Test Automation platforms that runs on the cloud which seamlessly automates Web UI, API, Mobile, and Desktop. Many customers have adopted this tool to speed up their automation as it does 3 times faster automation development and reduces 70% of their maintenance and 50% of cost savings which enables continuous delivery.

  • Codeless, No vendor lock, Built-in framework
  • Any browser & OS, cloud-based, actionable reporting
  • Business process, Automated, Visual, plug & play
  • Visual test, comprehensive taxonomy, requirement mapping
  • In-sprint automation, Web-Mobile-API & Desktop

Lamda test

  • This tool is the most famous automated tool for desktop and web applications. This tool assists the manual and automation cross-browser testing in languages like Java, Python, or Javascript, on a combination of 2000+ desktop and mobile browsers.
  • Online Browser Compatibility Testing
  • Test Responsiveness on all Screen Sizes
  • Inbuilt Issue Tracker
  • Parallel execution of tests reduces your testing span.
  • It has remarkable testing for Geo-Targeting, Geo-Blocking, and Geo-Location in over 27 countries, including India, Japan, Canada, the United States, Germany, Australia, and the United Kingdom
Conclusion

Automation testing has become a cornerstone for delivering high-quality products efficiently. It offers the promise of precision, repeatability, and speed that manual testing often struggles to match. However, the success of your automation efforts hinges on selecting the right tool for the job.

As we’ve explored, the process of choosing the appropriate automation tool is multifaceted. It demands a keen understanding of your project’s specific requirements, a consideration of budget constraints, and a careful evaluation of available options. Your choice should ultimately empower your team to efficiently identify defects, enhance software quality, and expedite the delivery of robust, error-free applications. In the end, the right automation tool can be the catalyst for achieving excellence in your testing efforts.

About the Author:

Saranya N S is heading Quality Assurance in Mantra Labs. She has in-depth knowledge of testing automation frameworks and has worked in automation teams in various domains across the IT industry.

Further Reading: How is Automation Testing Effective in Defect-Free Delivery?

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10 Analytics Tools to Guide Data-Driven Design

Analytics are essential for informing website redesigns since they offer insightful data on user behavior, website performance, and areas that may be improved. Here is a list of frequently used analytics tools to guide data-driven design that can be applied at different stages of the website redesign process. 

Analytics Tools to Guide Data-Driven Design

1. Google Analytics:

Use case scenario: Website Audit, Research, Analysis, and Technical Assessment
Usage: Find popular sites, entry/exit points, and metrics related to user engagement by analyzing traffic sources, user demographics, and behavior flow. Recognize regions of friction or pain points by understanding user journeys. Evaluate the performance of your website, taking note of conversion rates, bounce rates, and page load times.

2. Hotjar:

Use case scenario: Research, Analysis, Heat Maps, User Experience Evaluation
Usage: Use session recordings, user surveys, and heatmaps to learn more about how people interact with the website. Determine the high and low engagement regions and any usability problems, including unclear navigation or form abandonment. Utilizing behavior analysis and feedback, ascertain the intentions and preferences of users.

3. Crazy Egg:
Use case scenario: Website Audit, Research, Analysis
Usage: Like Hotjar, with Crazy Egg, you can create heatmaps, scrollmaps, and clickmaps to show how users interact with the various website elements. Determine trends, patterns, and areas of interest in user behaviour. To evaluate various design aspects and gauge their effect on user engagement and conversions, utilize A/B testing functionalities.

4. SEMrush:

Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct keyword research to identify relevant search terms and phrases related to the website’s content and industry. Analyze competitor websites to understand their SEO strategies and identify opportunities for improvement. Monitor website rankings, backlinks, and organic traffic to track the effectiveness of SEO efforts.

5. Similarweb:
Use case
scenario: Research, Website Traffic, and Demography, Competitor Analysis
Usage: By offering insights into the traffic sources, audience demographics, and engagement metrics of competitors, Similarweb facilitates website redesigns. It influences marketing tactics, SEO optimization, content development, and decision-making processes by pointing out areas for growth and providing guidance. During the research and analysis stage, use Similarweb data to benchmark against competitors and guide design decisions.

6. Moz:
Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct website audits in order to find technical SEO problems like missing meta tags, duplicate content, and broken links. Keep an eye on a website’s indexability and crawlability to make sure search engines can access and comprehend its material. To find and reject backlinks that are spammy or of poor quality, use link analysis tools.

7. Ahrefs:
Use case scenario:
Research, Analysis, SEO Optimization

Usage: Examine the backlink profiles of your rivals to find any gaps in your own backlink portfolio and possible prospects for link-building. Examine the performance of your content to find the most popular pages and subjects that appeal to your target market. Track social media activity and brand mentions to gain insight into your online reputation and presence.

8. Google Search Console:

Use case scenario: Technical Assessment, SEO Optimization
Usage: Monitor website indexing status, crawl errors, and security issues reported by Google. Submit XML sitemaps and individual URLs for indexing. Identify and fix mobile usability issues, structured data errors, and manual actions that may affect search engine visibility.

9. Adobe Analytics:
Use case scenario:
Website Audit, Research, Analysis,
Usage: Track user interactions across multiple channels and touchpoints, including websites, mobile apps, and offline interactions. Segment users based on demographics, behavior, and lifecycle stage to personalize marketing efforts and improve user experience. Utilize advanced analytics features such as path analysis, cohort analysis, and predictive analytics to uncover actionable insights.

10. Google Trends:

Use case scenario: Content Strategy, Keyword Research, User Intent Analysis
Usage: For competitor analysis, user intent analysis, and keyword research, Google Trends is used in website redesigns. It helps in content strategy, seasonal planning, SEO optimization, and strategic decision-making. It directs the production of user-centric content, increasing traffic and engagement, by spotting trends and insights.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UXR and Product Design.

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