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Various companies outsource their QA needs due to various reasons specific to their needs. But the primary reason why QA should be outsourced is that QA is extremely important to your product’s success. A well-equipped QA team can make a huge difference in how successful your app is. You might have the most innovative idea or concept that seems like a sure shot success on paper. But execution matters and that is where QA enters the picture as it ensures that your product stays on track to success every step of the way.
A Model QA Outsourcing Company
There are numerous factors that one must consider before choosing the right QA outsourcing company, and we will be discussing those factors in the latter part of this blog. Before that, we will illustrate how a QA Outsourcing company performs various types of testing to help you understand the impact they could have on your project. Though not all QA companies will offer the options we generally provide, we wanted to use our approach as an example to establish the standards you should be looking for.
We’ll be starting with the onboarding process as it is the first stage that happens before the partnership begins and also cover different approaches for different types of testing so that you will be in a position to foresee the possibilities of a partnership with regards to your specific needs.
The Onboarding Process
Once you have found the team for your needs, the onboarding process will be carried out to reassure you that you have made the right decision.
The Initial Call
The initial call is when the QA team will be introduced to your project. Once you have expressed your interest through any medium, our sales team will understand your basic expectations and schedule a call with our highly talented technical team for the initial call.
Free POC & Demo
Once we have clearly understood your need from the initial call, we will start prepping for a no-cost Proof of Concept and Demo that will help us assure you of our expertise. Though not all QA companies provide a free POC, we do it because we have the utmost confidence in our capabilities. So here’s how it works.
Tailored to Your Needs
Being one of the top QA companies in the market, we have a wide range of clients from different domains and industries. Our vast experience enables us to focus on your needs and create demos with the appropriate device and platform combinations. Let’s look into the various Proof of concepts we offer as an outsourcing QA company.
Automation Testing POC
- We automate 3 test cases with complete JENKINS integration.
- Our POCs are equipped with a fully functional ReportPortal integration.
- Upon receiving special requests, we even create specific test cases based on our client’s needs.
- Known for having quick turnaround times, we don’t take forever to work our magic as we will have your demo up and running in just 10 to 14 days from the date of the first call.
Such an approach gives you an idea of the level of control you will have on the automation tests during the partnership as the JENKINS integration enables you to run them anytime and anywhere as per your needs. You will also be able to witness how effortless bug tracking can be with our ReportPortal integration. So by the end of our demo, you will have a clear picture of how effective this partnership with us can be and help you make the right decision.
Manual Testing POC
- We create both positive and negative test cases for 3 scenarios.
- We also make sure to show a demo on both web and mobile platforms.
We do not follow one size fits all approach as we are focused on delivering tailor-made services that satisfy all our client needs. Primarily we understand our client’s needs and suggest an engagement model that we believe will match their needs or even proceed as per the client’s preference. Thanks to our years of experience in servicing clients on a global scale, we can assure you that we will deliver no matter what the engagement model is. So you can count on us to be a part of your product’s success.
A cost-conservative working model with defined work plans, timeframes, and deliverables based on the scope of the project. So there is no need for you to be worried that your requirements are small or if the budget will go overboard, fear not as this model ensures that the work will be completed as expected.
Time & Material
Our highly flexible working model is great if the entire scope of the project is unknown or for long-term partnerships. Our 100% transparency throughout every step of the way ensures that you create a winning product.
If you are looking to fulfill both your current and future needs, B.O.T is the way to go as we will build a team that fits your needs, operate for a period of time to ensure that your expectations are met, and then transfer the team to you.
Our Automation Testing Approach
We have performed automation testing for numerous needs across various industries and can assure you that the approach has not been the same for every single scenario. But there is a basic outline we lay before we start optimizing the process to meet our client’s needs.
It is a well-known fact that 100% automation is not possible. But it is also important to keep in mind that not all test cases that can be automated should be automated as well. So we use certain guidelines when it comes to choosing which test cases have to be automated. So after effective analysis of all the test cases, we identify
- High Risk or Business Critical test cases.
- Test cases that require repeated execution.
- Tedious test cases that will require a lot of manual effort or is subject to human error.
- Test cases that are time-consuming.
- Scenarios that require a significant amount of data.
- Consistent test cases that do not undergo constant changes.
- Functionalities that are shared across applications.
- Test cases that have a lot of downtime between steps.
- If cross-browser testing using the same test scenarios is possible.
Likewise, we also prefer not to automate test cases based on the below criteria
- Test cases that require exploratory or ad-hoc testing.
- Newly designed test cases that haven’t been executed at least once manually.
- Test cases that require subjective validation.
- Test cases that have low ROI.
Automation Test Tool Selection
Selecting the right automation testing tool for your project needs can be a tricky task. Though the automation tool selection largely depends on the technology the Application Under Test (AUT) is built on, the following criterion will help you select the best tool for your requirement.
- Environment Support
- Ease of use
- Testing of Database
- Object Identification Capabilities
- Image Testing Provision
- Error Recovery Testing
- Object Mapping
- The Required Scripting Language
- Support for the different types of tests, test management features, and so on.
- Support for multiple testing frameworks
- Ease of debugging the automation software scripts
- Ability to recognize objects in any environment
- The comprehensiveness of test reports & results
- Training cost to use the tool
- Licensing & maintenance cost of the tool
- The tool’s performance and stability
- The tool’s compatibility with the different devices and operating systems. (Windows, web, mobile, and native mobile apps).
- The features of the tool you will benefit from.
Planning, Design, and Development
Planning, Design, and Development are all important aspects of any project.
You establish an Automation strategy and plan during this phase, which includes the following details:
1. Tools for automation have been chosen.
2. The design of the framework and its features
3. Automation things that are in-scope and out-of-scope Automation
4. Scripting and execution schedules and timelines
5. Automation Testing Deliverables
Automation During this phase, scripts are run. Before they may be set to run, the scripts require input test data. They generate extensive test reports once they’ve been run.
The automation tool can be used directly or through the Test Management tool, which will invoke the automation tool.
Note: The execution can be done during the night, to save time.
Test Automated Maintenance Approach The Test Automation Maintenance Approach is an automation testing phase that is used to see if the new features added to the software are functioning properly. When new automation scripts are added, they must be reviewed and maintained in order to improve the effectiveness of automation scripts with each release cycle.
How we develop our Framework
- Define Goals
- Identify Tool
- Framework Design
- Framework Development
Best Automation Testing Tools
Choosing the right tool for your automation testing is very crucial as there are so many tools available in the market. In order to select the tools that best fit your needs, you should understand the requirements clearly and shortlist the tools that satisfy your needs. Since automation is possible for different types of testing, we have specific tools that we use based on the need.
Programming language: JAVA, C#, Python
Web Automation: Selenium
Mobile Automation: Appium, Java-Client,
Desktop Automation: FlaUI, TestStack White, Coded UI, WinApp Driver…
BDD Tool: Cucumber, Specflow, Behave
Reporting Tool: ReportPortal, Extent Report, Allure Report
Continuous Integration tool: Jenkins
IDE for script development:
How do we Guarantee Success
Not all QA companies that claim to do automated testing will be able to attain all the benefits it has to offer. But by being experts in the field, we ensure that we follow all the standards and the best practices to attain the best results.
- 1. Use a Proper Framework structure
- 2. We Avoid Flaky Tests by
- Tracking Failures
- Using Appropriate Object Locators
- Limiting Execution Duration
- Quarantining the Flaky Tests
- 3. Follow Naming Standards
- 4. Coding Standards
- 5. Environment Standards
- 6. Bug identification
- 7. Proper report
We don’t just stop once we have successfully automated various test cases as we understand that automated testing is not a replacement for manual testing. So now with the time available in our hands, we expand the test coverage by performing exploratory testing to unearth the various bugs that would usually go unnoticed.
The Fundamentals of Automation Testing To Build Your Success On
Our Mobile-App Testing Approach
Forbes reported that there are a whopping 8.9 million mobile applications in the global market. But an average user is reported to use just 10 applications every day and a total of 30 apps every month. Calculating the odds of your app’s success in such a highly competitive market might be startling. But expecting low competition in an industry that is projected to reach $900 Billion by 2023 is not fair. Even if you are targeting a niche market, a low-quality mobile app with poor user experience has no chance of becoming a success. But with the right idea and the right people on board, you could definitely be successful. With our comprehensive mobile testing solutions, we ensure that your app doesn’t get lost in the shuffle.
The Different Types of Mobile App Testing We Do
Our approach is all about testing the mobile app in different real-world scenarios because if we fail to do that, the chances of the end-user having a good user experience while using the app becomes slim. So we have identified the focus points that directly impact the user experience and prioritize the tests that can help prevent such issues.
The Compatability Issue
An application might work fine in a few devices but still struggle in other devices due to the various hardware and software changes. Back in the day, we used to have mobile phones within fixed price slabs. There were either the basic phones or the flagship smartphones, and the number of smartphone manufacturers wasn’t this high. But now the competition is higher, the number of smartphones under each price bracket has rapidly increased, and the number of smartphones that get released every year is also reaching record highs. So here is the list of tests one has to cover.
- Version Testing
- Hardware Testing
- Software Testing
- Network Testing
- Operating System Testing
- Device Testing
Owning and maintaining all the real devices to perform such tests is an impossible task. But there is a workaround.
The Real Device Solution
We don’t prefer testing on emulators as it is not reliable as testing on real devices is the best way to go about mobile app testing. So we employ cloud-based mobile app testing solutions like BrowserStack to get access to the large variety of real devices that are available in the market. Getting access to real devices solves only a part of the problem as we still will not be able to test the app on every device manually. So we have to automate the process and perform product analysis to identify the critical device combinations that the target audience uses and test them manually.
Beating the competition with Performance
Though the flagship phones are the most talked-about models, the mid-range and budget devices are the models majorly used by the public. So ensuring that your mobile app performs in the most efficient way is an important step in mobile app testing. Even if your target audience uses the flagship phones, it doesn’t mean your app can chew up the mobile’s resources. It will lead to eventual uninstallation as users neither like an app that is slow nor an app that makes their device slow. That is why we will test your mobile app against the following KPIs.
- Load Time
- Render Time
- Frame Dropping
- Latency & Jitter
- CPU Choking
- Battery Utilization
Identifying Usability Issues
Even a small misstep in usability testing can prove to be costly as usability issues are one of the biggest contributors to negative reviews. Any mobile app with negative reviews will face a lot of business problems as the way the users perceive the app and the app is impacted heavily. So to avoid such issues that have lasting effects, we perform our usability tests after obtaining a lot of relevant granular data. Most importantly, our mobile app testers will test from an end-user’s point of view to get accurate results.
Knowing Your Audience
Understanding your target audience plays a big role in making the app usable. So we add a lot of context to our testing process by identifying the age demographic, geography, and needs of your target audience. We then take it a notch further by analyzing the possible usage frequency, load levels, competitors, and so on. With such data, we develop effective test cases that will definitely identify bugs prior to deployment.
But usability testing doesn’t end with deployment as we have to identify the features that are most-used and least-used by the end-user. By doing so, we will be able to identify if the user faces any hardship in the most widely used features and prioritize that. Though we can predict the usage scenarios and levels prior to release, it will not be enough to satisfy all the needs.
The Mobile App Testing Tools We Use
As we use Selenium and Java for our Web Application automation testing, we have chosen Appium as our primary mobile app automation framework. But we do not limit ourselves with just one tool or combination as the needs of our clients vary on a one-to-one basis. So our R&D team is always on the lookout for emerging technologies in the field to help us stay on top of all the trends. We have also used all the popular tools due to the wide range of our clients.
- Ranorex Studio
How to do Mobile App Testing? A Complete Guide
Our API Testing Approach
We are all aware that there are three separate layers in a typical app: the user interface layer that the user interacts with, the database layer for modeling and manipulating data, and the business layer where the logical processing happens to enable all transactions between the UI and the DB. API testing is performed at the most critical layer (i.e) the business layer. So a malfunctioning API could invalidate both the UI and DB even though they are working properly. That is why API testing is very crucial when it comes to making your product successful. So let’s take a look at the different types of API testing we perform to ensure maximum quality.
The Different Types of API Testing Services we Perform
Before we start testing the functionalities of the API, we prefer to validate the product by performing validation testing during the final stages of the development process. It plays a crucial role as it helps us validate if the product has been developed as expected, behaves or performs the required actions in the expected fashion, and also validates the efficiency of the product. Once we have verified the product’s ability to deliver the expected results by adhering to the defined standards within the expected conditions, we go ahead and perform functional testing.
Functional testing is very different from validation testing as the latter only verifies if the product was developed properly. Whereas functional testing involves testing specific functions in the codebase. So we will check if the product functions properly within the expected parameters and also check how it handles issues when functioning beyond the expected parameters. We get the best results here by making sure that the edge test cases are also implemented.
Since we have tested how functional the product is in the previous stage, we will test to see if the product performs as expected in different load conditions as well. It is usually performed after a specific unit or the entire codebase has been tested. We first establish a baseline with the number of requests to expect on a typical day and then the product with that traffic. We then take it to the next level by testing with both maximum expected traffic and also overload traffic to ensure the functionality is not affected. It will also help in monitoring the product’s performance at both normal and peak conditions.
Runtime and error detection
The previous tests were mainly focused on the results, whereas we would test the execution of the API at this stage.
- We would monitor the runtime of the compiled code for different errors and failures.
- The code will be tested with known failure scenarios to check if the errors are detected, handed, and routed correctly.
- In addition to that, we would also look for resource leaks by providing invalid requests, or dumping an overload of commands.
Since APIs are prone to eminent external threats, security testing is an unavoidable phase of testing that has to be done effectively. But we don’t just stop there as we also test the validation of encryption methodologies, user rights management, and authorization validation. We would also follow it up with penetration and fuzz testing to eliminate the possibility of having any kind of security vulnerability in the product.
Though the above-mentioned covers the primary focus points of API testing, we always feel that the UI that ties into the API can help us have an overview of the usability and efficiency of the front and back ends. By doing so, we make our API testing approach a holistic process that covers every factor that would contribute to the product’s overall quality.
The API Testing Tools:
Now that we have seen the various tests we would conduct to ensure maximum quality, let’s take a look at our API testing toolkit.
Postman – A Google chrome app used for verifying and automating API testing.
- It eases the process of creating, sharing, testing, and documenting APIs for developers by allowing the users to create and save simple & complex HTTP/s requests, and read their responses as well.
- It reduces the amount of tedious work as it is extremely efficient.
REST Assured – An open-source, Java-specific language that facilitates and eases the testing of REST APIs.
- It is open-source, Java-based, and supports both the XML & JSON formats.
- The support for Given/When/Then notations makes the tests more readable.
- No separate code is needed for basic steps such as HTTP method, sending a request, receiving & analyzing the response, and so on.
- It can be easily integrated with CI/CD frameworks like JUnit & TestNG as it has a Java Library.
SoapUI – The tool focuses on testing an API’s functionality in SOAP and REST APIs and web services.
Apache JMeter – An open-source tool for performing load and functional API testing.
Apigee – A cloud API testing tool from Google that can be used to perform API performance testing.
Swagger UI – An open-source tool that can be used to create a webpage that documents the defined APIs.
Katalon – An open-source application that helps with automated UI Open Source, Java Based and supports both XML & JSON format.
The Complete Guide to Perform Manual REST API Testing Using Postman
Our Data warehouse Testing Approach
Data warehouses are data management systems that generally contain large amounts of historical data that are centralized and consolidated from various sources such as applications’ log files and transactions. They even perform different queries and analyses to enable and support business intelligence activities and analytics. Since major business decisions are made based on the data from a data warehouse, data warehouse testing is of paramount importance when it comes to ensuring that the data is reliable, consistent, and accurate. According to a report by Gartner, 60% of the respondents weren’t aware of the financial loss their business faces due to bad data as they don’t even measure it. The size of the loss could be unimaginable as back in 2016, IBM reported that bad data quality is responsible for cutting $3.1 Trillion from America’s GDP.
But the process of data warehouse testing is a much more intricate process than simply testing the data that land inside the warehouse from multiple sources. That is why we ensure that our data warehouse testing process addresses the complete data pipeline when the data is in flight during extract, transform, and load (ETL) operations. So instead of searching for a needle in a haystack, we validate the data at intermediate stages and identify, isolate, & resolve problem areas quickly. Our data warehouse testing also covers the equally important business intelligence (BI) reports and dashboards that run using the consolidated data as its source.
Data warehouses have 2 major concepts,
- OLAP – Online Analytical Processing (e.g: analytical processing like forecasting, reporting)
- OLTP – Online Transactional Processing (e.g: application like ATM)
The Different Types of Data Warehouse Testing we do:
As a leading QA company, we have years of experience delivering comprehensive solutions to all our clients without compromising on efficiency. So let’s take a look at the most common challenges that a QA company would have to overcome with their testing process and then move forward to see the different types of testing techniques we employ.
- Loss of data during the ETL process.
- Incorrect, incomplete, or duplicate data may occur while transferring data.
- Since the data warehouse system contains historical data, the data volume is generally very large and extremely complex making it hard to perform ETL testing in the target system.
- It is also difficult to generate and build test cases.
- It is tricky to perform data completeness checks for the transformed columns.
- The sample data used in production is not a true representation of all the possible business processes.
So apart from the specific data warehouse tests we will be exploring, we would also perform the standard testing that almost every product will be in need. It includes
- Smoke testing can be used to determine whether the deployed build is stable or not.
- Integration testing for upstream & downstream processes that includes Datavault, Datamart, and Data Lake testing at each stage.
- Regression testing to see if the ETL is providing the same output for a defined input,
- Finally, we employ automation to speed things up.
Duplication Issues – As the name suggests, duplicate data is any record that accidentally shares the same data with another record in a database. The most common type of duplicate data is a complete carbon copy of another record. They are usually created while moving data between systems. Since a large number of files have to be checked, we employ automation scripts to perform the duplicate check.
Null values check – A null value will be assigned when a value in a column might be unknown or missing. It is important to keep in mind that a null value is not an empty string or a non-zero mobile. So by using a non-null constraint in a table, we can ensure that some value is present and can be verified using a null check.
Pattern validation – We then test if the data in a specific column is in the defined format. For example, if the column is supposed to hold an email address, we test if the data has an ‘@’ followed by a domain name to ensure it is a valid input.
Length validation – Similar to the above process, we also test if the length of the data in a particular column is as expected. For example, if the data is supposed to be a US mobile number, then we will test if it has 11 digits. It should neither be lesser nor greater than that for the data to be valid.
Data completeness check – As mentioned earlier, making crucial business decisions with incomplete data can prove to be very costly. So with our data warehouse testing, we ensure that the data is complete without any gaps or missing information. We can identify such missing data by comparing the source and target tables.
Table & Column availability check – We also validate if tables and columns are present and available after any changes have been made in the build.
Fill Rate check – Fill Rate can be calculated by dividing the total number of filled entries at each column level by the total number of rows in a table. It will be instrumental in determining the completion level as if there is a form that requires 10 different data for it to be complete, then we will know how much of it has been completed.
Referential integrity check – Referential integrity is primarily about the relationship between tables as each table in a database will have a primary key, and this primary key can appear in other tables because of its relationship to the data within those tables. When a primary key from one table appears in another table, it is called a foreign key. Primarily, we test if the data in the child are present in the parent table and vice versa. In addition to that, we check for deviations and if there are any, we identify how much data is missing.
Our Data warehouse Testing Tools:
We primarily use Python for creating our automation scripts that perform the above-mentioned checks as its built-in data structures, dynamic typing, and binding make it a great choice. We use Behave and Lemon CheeseCake (LCC) frameworks for our testing. There are numerous tools in the market to perform testing, we use some among them,
- Data Build Tool(DBT) – An automation tool that is very effective when it comes to reducing dependencies. It is our trusted choice when it comes to transforming data in the warehouse.
- Jenkins – An open-source tool that is instrumental in helping us achieve true automation by scheduling test execution and report generation.
- Lookers – It aids in creating customized applications that help us with our workflow optimization.
- Snowflake – An SaaS option that enables data storage and processing to create faster, flexible, and easy-to-use analytical solutions.
- JIRA – Since we follow Agile methodology, JIRA is our go-to project management tool.
- Airflow – A platform that helps us create and run workflows to identify dependencies.
- AWS services (S3 bucket, Lamda) – We use AWS to run our code, manage data, and integrate applications by avoiding the hassle of managing servers.
- GCP (Google Cloud Platform) – We use BigQuery, Google Tag Manager, and Google Analytics to manage data, determine measurement codes, and identify the latest data trends.
- Git Stash – It is used to locally version files that can help us revert back to the prior commit state if needed. It is also helpful in having those versions not be seen by the other developers who share the same git repository.
Our Accessibility Testing Approach
- The Guidelines we Follow
- Accessibility Testing with ARIA
- Accessibility Testing Using Appropriate Personas
- Tools for Accessibility Testing
- Our Case Study
Before we proceed to see how, let’s first focus on the why. Accessibility Testing is a commonly overlooked type of testing that has a lot of importance. According to a recent report from WHO, about 15% of the entire world population has at least one form of disability. That adds up to more than 1 billion people. So if your product isn’t accessible, you’re not just alienating such a large group of people, you are also denying their right to information. All this makes Accessibility testing the need of the hour.
The Guidelines we Follow
Apart from the various advantages it has to offer, did you know that lack of accessibility compliance can result in you getting sued? Though WCAG is the universally recognized guideline, there are certain variations depending on the region you are from or the region your website is accessed from.
Our conclusive accessibility testing services ensure that our client’s products are safe across the globe as we are experts in the various web accessibility guidelines such as
- WCAG (Web Content Accessibility Guidelines) – Published by the W3C Consortium and globally recognized.
- Section 508 – Followed in the United States of America for federal government agencies and services.
- The Web Accessibility Directive – Created by the European Union based on WCAG 2.0 with a few additional provisions as well.
The Different WCAG Compliance Levels
The level of compliance you target to achieve will also be an important factor as it determines the impact it will have on your product’s design and structure. Since partial compliance is not accepted by WCAG, it will also be helpful in planning out the work that has to be done.
A – This is the most basic level of compliances and has a total of 30 success criteria in it. The primary objective of this level of compliance is to help people with disabilities understand and access the content. If this level of compliance is met, the screen readers will have enough information to function at a minimal level, help people with seizures, and so on. It is worth mentioning that it will also enhance the user experience of people without any disabilities as well. We have listed a few focus points from this level of compliance to help you get a better understanding.
- Alternative text for the image
- No Keyboard Traps
- Keyboard Navigations
- Captions and Audio Descriptions for videos
AA – Since the lower level of compliance is a subset of its higher compliance level, the product would have to meet 20 additional criteria once the first 30 success criteria of the Level A compliance are met. This is the level of compliance that most businesses tend to target as it would make the product compliant with most of the assistive technology that will help people with disabilities access your content. Though this level of compliance would not make much impact for regular users it will be very helpful for the disabled users as the basic level of user experience provided in the previous level will be enhanced. It goes beyond complete blindness to make the product accessible to people with other disabilities such as partial blindness. Here are a few focus points from this level that will help you get a clear picture.
- Heading order
- Color contrast
- Resize and Reflow
AAA – If you have the time and resources to make your product the best it can be, AAA level of compliance will be the way to go. The product would have to meet 28 additional success criteria after the first 50 criteria have been successfully met. For example, AAA compliance will be a great choice if you are looking to develop a specialist-level website. A few focus points for this level of compliance are as follows:
- Sign language Implementation
- Abbreviation explanations
- Pronunciation of words.
Accessibility Testing with ARIA
Being true to its name, ARIA (Accessible Rich Internet Applications) plays a very important role in making web pages accessible. One can say that it is almost impossible to make your web page accessible without ARIA as it adds vital additional information to elements that a screen reader will need to function smoothly. But the presence of ARIA alone will not guarantee accessibility as the correct roles should be assigned for the respective web elements.
For example, if you take a look at the above screenshot of a sample document in Google Docs, it is clear that it is the ARIA label that provides critical information to the screenreader beyond just the share button’s functionality. It even includes the information of who can access it. In this case, it is a document shared only with the user. So if you decide to share the document with only a specific set of people, then that information will be listed in the ARIA label to give a better user experience for people with disabilities. That is why we have made sure our accessibility testers are highly knowledgeable in all the concepts of ARIA.
Accessibility Testing Using Appropriate Personas
Our accessibility testers have been trained with different disability personas so that they will be able to effectively understand the difficulties and pain points a person with any form of disability might face. We achieved this by having our accessibility testers create different personas for different disabilities. Once we had about 50 different personas, we made them exchange personas with each other and had them use the application or web page we wanted to test by using that persona. Here’s a sample persona we created during one of our projects.
Riya is a visually impaired child studying 4th grade. Despite the disability, she is highly motivated and eager to learn mathematical calculations. Since Riya can hear well, she utilizes screen readers to access the information on the web in audio form. So her teacher has provided an online that Riya can use to learn mathematical calculations with the aid of a screen reader. In this situation, if we were to test the online learning portal, we would follow the below checklist.
Visually challenged people such as Riya can only navigate the page using the keyboard as using the mouse requires visual feedback. So we ensure that the pages with interactive elements are accessible using tab, and plain text & image contents are accessible using the down arrow key.
The links should have descriptive anchor text or labels as a user who employs a screen reader will not have enough context to click on a link when the indecisive anchor text such as ‘Click Here’ is used.
We test if all the images have descriptive alternative texts. If the alt text isn’t sufficient to convey the entire context of the image, we check if long descriptions have been used properly. When terms like ‘Apple’ that might be understood as the tech company or the fruit, it is vital to check if the context has been made clear to avoid any misconceptions.
The page should have proper headings in the correct order as people like Riya will generally navigate through the webpage using headings. Apart from navigational issues, improper headings might even confuse her when being read out by the screen reader.
Titles for every page
The title of each module will be tested as it will be helpful for Riya to bookmark them, and navigate across modules in different tabs.
Audio description for Video
Like alt text for images, videos can use closed captions to convey the verbal context of the video. But what about the non-verbal visual aspects of the video that might play a vital role? That is why we ensure the audio description covers every action, activity, silence, animation, expression, and facial expression. While the audio description is read out, the paused screen should be clearly visible and no text, image, or element should appear blurred.
Though there are automation options for accessibility testing, we find that its cons outweigh the pros when we compare automated accessibility testing with manual accessibility testing. So let’s take a look at the various tools that our teams employ for various accessibility testing purposes.
Tools for Accessibility Testing
The tools we select to perform accessibility testing differ from the regular tool selection process as a set of these tools will also be used by disabled people to access the content. For example, screen readers are used by visually challenged people. So we have trained employees with the prominent screen readers used across different platforms to deliver conclusive solutions.
- NVDA and JAWS for Windows.
- Voiceover for macOS and iOS.
- Talkback for Android.
- Orca for Linux.
There are also other tools that we use to ensure that all guidelines are met during accessibility testing.
Color Contrast Analyzer – One of the most widely recognized color contrast analyzing tools that can be used to check the contrast level between the used color schemes for elements such as background and foreground.
ARC Tool Kit – An browser extension tool used to identify the accessibility issues such as heading order, forms, ARIA, links, and so on that come under WCAG 2.0, WCAG 2.1, EN 301 549, and Section 508.
axe Dev Tool – An extension tool that is similar to the ARC Tool Kit that can be used to identify the above-mentioned accessibility issues. But it is usually more fast & accurate in comparison.
Wave – A highly reputable web accessibility evaluation tool developed by WebAIM to provide visual feedback about the accessibility issues of your web content with the help of indicators.
Our Case Study
We were tasked with a mammoth job of testing over 25,000 pages across 150+ assessments in an LMS for one of our Accessibility testing projects. Since we had a very short deadline to meet, the conventional accessibility testing approach wouldn’t have been enough. So we came up with the solution of testing the LMS platform features to identify the bugs that will be common in all the 25,000 pages of the assessment and have them fixed before starting our one-by-one approach. By doing so, we saved a lot of time by avoiding redundancy in the testing and bug reporting processes.
For example, if one radio button in one assessment did not meet the accessibility guidelines we were testing it against, then it is obvious that the other radio buttons in the other tests will also fail. But we wouldn’t have to raise the repeating issue over and over again as the initial phase of platform testing would have helped identify such issues. Fixing those issues was also easy as there was an existing template for the radio button component that was used throughout the assessment. So once the template was fixed, all its instances were also fixed. That is how we won the race against time and impressed our clients.
How to do Accessibility Testing? A Complete Guide
Benefits of QA outsourcing
Having a dedicated team for Quality Assurance enables you to focus more on the core business needs and lets the quality assurance team ensure that your product meets the defined expectations without any deviations.
A Wider Talent Pool
You will be able to surpass boundaries and truly find the best of the best to test your product. So with that much expertise at your disposal, you can ensure that your app reaches the market in no time.
Fast and Successful Rollout
Yes, it is important to reach the market as early as possible. But it is also vital to have a winning product in your hands as a bad first impression can severely impact the perception of your product.
Reduced Costs and Better ROI
Offshore outsourcing can offer great Returns on Investments as the labor costs are significantly lower in the popular outsourcing countries in comparison to countries like the USA. Apart from the better ROI in the long run, you can reduce costs in terms of infrastructure, resources, and talent that you will need to have to perform software testing.
You can hire teams based on your needs without having to maintain your own in-house team and all the resources that they will need to ensure optimum quality. Be it a one-time requirement or a long-term partnership, you can get what you want without any hassle or risk.