Navigating the World of Accessibility Testing – Part 1

Navigating the World of Accessibility Testing – Part 1


In 2022, about 4.95 billion people worldwide were using the internet, which is roughly 62.5% of the world’s population. The internet has greatly impacted our lives by making information easily accessible. But does everyone have this access? Unfortunately, not.

Around 1 billion people have disabilities and can’t use the internet. Web accessibility ensures all can access the websites regardless of the disabilities. To ensure websites are accessible, we need accessibility testing.

Accessibility testing is assessing whether a software application, website, or digital content can be easily used by people with disabilities such as sensory, physical, cognitive, or developmental impairments. Mainly, it focuses on finding and removing any barriers in the application that might stop these individuals from accessing and using the digital product effectively.

By promoting inclusivity in the digital realm, accessibility testing encourages developers to embrace design approaches that cater to marginalized groups. This helps create a digital space where every user can actively participate and benefit from the available technology. Consequently, quality assurance professionals must integrate accessibility testing into their processes to ensure the presence of these inclusive features.

What is Accessibility Testing?

Accessibility Testing ensures that websites and apps are easy for everyone to use. It checks audio, visual, physical, neurological, and cognitive aspects to ensure every user can access them equally.

The process begins by assessing factors such as navigation for screen reader users and colour contrast ratios. These steps help people with vision problems and those who navigate with keyboards instead of mice. Accessibility testing aims to achieve the same goals, whether for mobile apps or websites.

Types of Accessibility Testing

1. Manual Testing

Human testers perform manual testing by interacting with the mobile or web app to find accessibility problems. They use assistive tools like screen readers to mimic users with disabilities. Testers explore the app, checking things like labels, keyboard use, and how easy it is to use. Manual testing finds small issues that automated tools might miss.

2. Automation Testing

Automation testing uses special tools to check web pages for accessibility issues automatically. These tools can look through lots of code quickly and find common problems, like missing descriptions for images or using headings wrong.

Automation testing is efficient for detecting known issues but may not catch all accessibility issues, especially those requiring human judgment.

3. Screen Reader Testing

Screen reader testing is part of manual testing. Testers look closely at how the app works when someone uses a screen reader. They ensure that all content is properly conveyed through audio cues, including accurate labeling of interactive elements and logical navigation order. This testing is very important. It makes sure people who can’t see well can still use the app easily.

4. Keyboard Navigation Testing

Keyboard navigation testing assesses how easy it is for people who only use keyboards, like those with physical disabilities, to use web and mobile apps. Testers make sure users can move around the app just using keys, not a mouse. They check the order keys work in, shortcuts, and if everything can be used with keys. This kind of testing makes sure people who can’t use a mouse because of physical issues can still use the app.

Importance of Accessibility Testing – Inclusive User Experience

The reason behind accessibility testing’s rising importance is a bigger push for inclusivity in making products. For example, in the car industry, manual gear shifts were mostly made for right-handed people, who are about 90% of the world. This left out left-handed people. But now, many car makers are changing to touch screens that anyone can use. It’s a move towards being more inclusive and thinking about users. This change explains the importance of accessibility testing in evaluating the quality of new technologies.

The software industry has undergone a similar transformation, with numerous technologies being developed to enhance accessibility. These technologies cater to various types of disabilities, including:

Visual Impairments:

  • Screen readers
  • Magnification software
  • Braille displays
  • Tactile graphics and interfaces

Motor or Mobility Impairments:

  • Keyboard accessibility with support for alternative input devices
  • Voice recognition and dictation software
  • Switch control

Hearing Impairments:

  • Closed captioning and subtitling
  • Transcripts for multimedia content
  • Visual alerts and notifications

Cognitive or Learning Disabilities:

  • Text-to-speech (TTS) software
  • Simplified and consistent user interfaces
  • Guided workflows and step-by-step instructions

Color Vision Deficiencies:

  • High-contrast color themes
  • Color blindness simulators

Speech Impairments:

  • Speech recognition and dictation software
  • Alternative communication devices and software (e.g., AAC devices)

Each of these technologies necessitates a unique approach to testing, leading to the establishment of a separate category for accessibility testing within the realm of software quality management. This specialized focus ensures that software products are accessible to individuals with diverse abilities, thereby fostering inclusivity and enhancing the overall user experience.


The Accessibility Testing Service Market is important for making digital spaces more inclusive. Trends like using AI and focusing on users highlight efforts to create digital places that everyone can use. As companies care more about accessibility, these trends will keep affecting the market. This ensures digital stuff isn’t just cool and new, but also usable by everyone. In a world where digital stuff is everywhere, following these trends isn’t just about business, but also about making a more inclusive future.

Join Adactin at SSON’s 27th Australasian Shared Services and Outsourcing Week (SSOW)

Join Adactin at SSON's 27th Australasian Shared Services and Outsourcing Week (SSOW)

Meet our team at the SSON’s 27th Australasian Shared Services and Outsourcing Week (SSOW) on 15th and 16th May 2024. 

SSOW Australasia 2024 is a premier event where industry experts, innovators, and professionals come together. Attendees will gain valuable insights, learn about the latest strategies, tools, and technologies, and connect with peers. The event provides an opportunity to exchange best practices and find solutions to elevate the shared services and GBS functions to new levels of success.

Adactin looks forward to contributing to the discussions and networking with peers and experts in the field.


Our team introducing Robotic Process Automation, Generative AI and Machine Learning services to the visitors


Our CEO Navneesh Garg at SSOW

Maximising Efficiency: How Low-Code Development Accelerates App Delivery?

Maximising Efficiency: How Low-Code Development Accelerates App Delivery?


When scholars are thinking about pursuing an IT career, it is commonly assumed that it involves programming. But what if I told you that you don’t have to be a programmer to create a website or an application?

Sounds surprising though, but it’s true. Thanks to the rise of no-code and low-code development. Now, even if you aren’t good at web development, you no longer have to rely solely on developers.

This transformation allows non-developers to create apps, representing a significant shift in the tech landscape.

Think of it as technology’s way of fostering creativity among individuals without requiring extensive knowledge of complex coding languages. Simply learn the basics, and get started.

In this blog, we will explore the benefits of low-code, which facilitate rapid application development and can significantly speed up the delivery of applications.

What is Low-Code Development?

Low-code is a contemporary method for software development that reduces the requirement for extensive coding. It utilises intuitive visual interfaces and drag-and-drop features instead of complex programming languages. This approach has gained significant traction due to its simplicity and speed compared to traditional development methods.

In essence, low-code development aims to make coding simpler, resulting in faster and better app development. It also creates a user-friendly environment where non-tech users can provide feedback and suggestions.

Benefits of Low Code Development That Help Accelerate App Delivery

1. Increase in Agile Development

Facilitates rapid and straightforward app creation and deployment, even without in-depth programming expertise, fostering organisational agility and adaptability to evolving business requirements.

Low-code development complements agile methodologies, prioritising flexibility and efficiency through iterative processes. This agile approach enables businesses to swiftly address market shifts and evolving customer demands. Tailored to support agile practices, low-code development platforms empower teams with the necessary resources to expedite software application development effectively.

2. Reduce Technical Errors

Low-code development offers a solution to mitigate technical debt by establishing a structured and standardised environment for application development. This approach minimises the likelihood of adopting subpar coding practices or taking shortcuts, common sources of technical debt.

Compared to conventional software development techniques, low-code development platforms typically boast a simpler learning curve. Through intuitive visual interfaces, pre-assembled components, and drag-and-drop editors, even developers with limited coding proficiency can craft intricate applications. Consequently, businesses can capitalise on their existing workforce’s capabilities while affording them avenues for skill enhancement and professional growth.

3. Visual Modelling

Conventional application development typically entails the manual creation of code, along with testing and oversight by seasoned IT professionals. In contrast, low-code platforms leverage pre-validated visual components, enabling swift construction and deployment of robust and secure applications.

Low-code developers possess the benefit of managing the complete application development process, starting from conception to release. The user-friendly drag-and-drop feature of such platforms improves ease of use and accessibility. Moreover, the utilisation of tried-and-tested templates provided by these platforms contributes to error reduction during development.

4. Faster Integration

The ability to swiftly integrate applications, systems, and data is crucial for organisations aiming to excel in an ever-changing landscape. Opting for off-the-shelf solutions may appear convenient initially, but they frequently result in intricate integration issues and isolated data repositories. On the other hand, an enterprise-grade low-code automation platform offers preconfigured, no-code integration capabilities and templates, significantly slashing the time required to establish connections with databases, cloud services, robotic process automation (RPA) bots, artificial intelligence (AI) tools, and application programming interfaces (APIs) – reducing the timeframe from hours or days to mere minutes.

5. App Stores

Community app stores integrated with low-code platforms offer a range of pre-made templates, widgets, plug-ins, business components, and connectors to cutting-edge technologies. This approach transforms app development into a visually guided process of assembling essential elements, rather than starting from scratch with each project.

6. Complete App Lifecycle Support

Low-code application development platforms facilitate the entire application development process, from inception to deployment. While visual development offers a time-to-market advantage compared to traditional hand-coding, this advantage is limited if there isn’t a smooth process for progressing apps through the lifecycle, especially during deployment.

7. Lower Costs

Businesses often explore various ideas, which can be both time-consuming and expensive. Nonetheless, utilising low-code/no-code platforms for application development consumes less time compared to starting from scratch. This leads to a notable reduction in the time needed to construct business intelligence (BI) applications.

Furthermore, highly skilled technical resources are typically in high demand and come with a hefty price tag. However, with no-code solutions, the likelihood of errors diminishes, and a wider range of individuals can contribute. Ultimately, this translates to lower overall costs, as less time is spent rectifying mistakes and less money is allocated towards hiring team members.

8. Scalability

Low-code platforms extend beyond a single growth opportunity; they pave the way for ongoing success. Users tapping into the power of low-code platforms encounter robust and user-friendly customer connections, which continue to generate service opportunities and sales long after the initial launch.

The same low-code platforms that initiated this dynamic development can further extend proven internal processing networks efficiently. Leveraging previous low-code work enables swift expansion of low-code connections.

Ever-evolving business requirements find swift solutions with existing low-code platforms, offering tailored templates for both internal and external triumphs tailored to enterprise needs.

Thanks to their reliance on cloud technology, low-code platforms provide adaptable and uninterrupted application services, guaranteeing dependability and responsiveness to evolving customer requirements.


Low-code development is changing the software industry. It helps both experienced and new developers create apps faster. With easy-to-use interfaces and collaboration tools, low-code platforms make innovation quicker. Embracing low-code development allows software companies to stay agile, address changing customer demands, and provide high-quality software solutions in a highly competitive market.

Want to Accelerate Your Application Delivery with Adactin?

Adactin’s low-code services offer a significant advantage in expediting application delivery. By providing a streamlined development environment and intuitive tools, Adactin empowers both seasoned developers and citizen developers to create applications with remarkable speed and efficiency. Adactin’s powerful low-code platform facilitates swift prototyping, seamless component integration, and effective team collaboration. Leveraging Adactin’s services, organisations can drastically cut down on app development time, enabling them to swiftly address market needs and deliver top-notch applications at a faster rate.

Unveiling the Importance of RPA Testing

Unveiling the Importance of RPA Testing

Thorough testing becomes essential when companies employ Robotic Process Automation (RPA) to automate tasks and enhance efficiency. Ensuring that automated processes operate seamlessly and deliver the intended outcomes underscores the importance of RPA testing.

Understanding RPA Testing

RPA testing is super important in the process automation journey. It’s all about checking if the automated tasks work well in meeting its objective. Unlike regular software tests, RPA testing faces its own set of challenges because automated work is always changing and involves different types of applications and integrations.

Methods of RPA Testing

1. Unit Testing

Unit testing involves evaluating the performance of individual components and workflows within an RPA system, examining both typical and exceptional scenarios. By dissecting the entire solution into smaller units and validating them independently, automation developers can concentrate on specific functionalities or bot actions, such as clicking a button or populating data fields. This approach facilitates the identification of defects in particular areas at component level.

2. Integration Testing

Integration testing focuses on ensuring the seamless coordination of various third-party systems, APIs, and RPA components essential for the automated process. This verification is crucial, especially during data transfer operations, to confirm that all elements collaborate effectively. Integration testing typically occurs after unit testing once all pertinent components have been assessed.

3. Regression Testing

Regression testing is imperative in RPA development due to the iterative nature of the process. As changes are implemented continuously, there is a risk that previously functioning code may encounter issues or fail altogether. Regression tests specifically target these potential defects, employing various testing methods to isolate the alterations responsible.

4. Security Testing

Security testing is a critical phase involving a comprehensive risk assessment to ascertain the presence of essential safety measures, including governance protocols, authentication mechanisms, access controls, and traceability features. It becomes easy to identify any vulnerabilities that may expose the organisation to security threats with this testing.

5. User Acceptance Testing (UAT)

User acceptance testing (UAT) assesses the bot’s performance from a user-centric perspective, confirming whether it executes tasks as intended in terms of performance, usability, and functionality. For attended RPA bots activated by human operators, UAT additionally evaluates the automation’s intuitiveness and practicality. 

Note that each testing methodology offers a distinct purpose, and there’s no one-size-fits-all approach. 

 Combining these methodologies throughout different phases of development is essential to ensure the robustness, reliability, and efficiency of RPA automation solutions.

The Importance of RPA Testing

1. Mitigating Risks and Errors

Implementing RPA can introduce unexpected risks and errors that disrupt business operations if not managed carefully. Comprehensive testing helps discover and address potential issues before deployment, minimising expensive errors and downtimes.

2. Enhancing Compliance and Governance

Adhering to industry standards and regulations is crucial in sectors like finance and healthcare. Hence, RPA helps ensure compliance and safeguards data integrity, privacy, and security, mitigating regulatory risks.

3. Optimising Resource Utilisation

Organisations can identify inefficiencies and bottlenecks in automation workflows, optimising resource use with efficient RPA testing. Optimising procedures and enhancing efficiency increase return on investment (ROI) as well as result in sustained cost reductions over the long term.

4. Fostering Innovation and Continuous Improvement

RPA testing fosters innovation by providing insights into process efficiency. Through ongoing refinement, organisations enhance automation capabilities, achieve operational excellence, and remain competitive in a changing digital landscape.

Best Practices of RPA Testing

• Develop a comprehensive test plan covering functional, regression, performance, security, integration, and user acceptance testing. 

• Test early and often throughout the RPA development lifecycle to catch issues early. 

• Get individual components verified with unit testing, validate interactions between components with integration testing, and then perform end-to-end testing of the entire solution. 

• Use a diverse set of testing techniques including automated testing tools as well as manual and exploratory testing. 

• Test in production-like conditions with high traffic volumes to understand real-world performance. 

• Document test cases, scenarios, data, and scripts for traceability and reusability. 

• Implement continuous testing and feedback loops following agile and DevOps principles. 

• Collaborate with all stakeholders like developers, business owners, and end-users for diverse perspectives. 

• Monitor tests closely, especially in production, and have a plan to quickly shut down tests if issues arise. 

• Provide detailed defect descriptions, screenshots, test data, and other information for effective debugging.

Implementation and Troubleshooting of RPA Testing

If the bot performed well and delivered your expectations, you can then integrate it into the company’s overall infrastructure. 

If the bot has failed to deliver, you must return to the drawing board and address its flaws. These tips might help resolve the issues quicker: 

• Use Logging and Tracing

Implement robust logging and tracing mechanisms in your RPA bots to capture detailed information about their execution, including errors, warnings, and debug messages. This information can be invaluable for identifying and resolving issues during testing. 

• Leverage Breakpoints and Debug Mode

Most RPA tools provide the ability to set breakpoints and run bots in debug mode, allowing you to step through the execution and inspect variable values, UI elements, and other runtime data. This can help you pinpoint the root cause of issues more effectively. 

• Implement Exception Handling and Retry Mechanisms

Build exception handling and retry mechanisms into your RPA bots to make them more resilient to unexpected events, such as pop-ups, network issues, or application crashes. This can prevent test failures due to transient issues and improve the overall reliability of your testing. 

• Utilise Data Validation and Testing Tools

Incorporate data validation checks into your RPA workflows to ensure that the input and output data meets expected formats, ranges, and constraints. Additionally, leverage testing tools provided by your RPA platform or third-party tools to create and execute comprehensive test suites. 

• Leverage External Tools and Resources

For troubleshooting, use external tools and resources such as browser developer tools, online forums, network analysers, screen recorders, and documentation other than the tools offered by RPA platform.

• Collaborate with Stakeholders

Get different perspectives and feedback while working with business owners, developers, and end-users throughout the testing process. This can help identify potential issues and ensure that the RPA solution meets business requirements and user expectations. 

• Monitor Tests Closely and Manage Defects

Closely monitor your tests, especially in production environments, and be prepared to quickly shut down tests if major issues arise. Maintain detailed defect descriptions, screenshots, test data, and other relevant information to facilitate effective debugging and resolution.

During RPA testing thorough troubleshooting helps to identify and resolve issues early, ensuring the quality and reliability of your automated processes.


RPA testing systems is essential for successful implementation. Through thorough testing, organisations can minimise errors and operational risks while maximising automation benefits. It ensures RPA meets its goals of efficiency and reliability, crucial in today’s business landscape driven by automation.

As automation transforms businesses, RPA testing becomes vital for maintaining quality and performance. It allows organisations to fully utilise robotic process automation while upholding high reliability standards.

In summary, RPA testing isn’t just recommended; it’s crucial for competitiveness and efficiency in the digital age. Investing in comprehensive RPA testing sets the stage for a future where automation is synonymous with accuracy and trustworthiness.


Why API Integration is Crucial for Businesses?

Why API Integration is Crucial for Businesses?

You’ve undoubtedly heard a lot about APIs and API integrations, whether you work in the operations or marketing departments. The process of integrating various software systems or apps via their respective APIs so they can exchange data and communicate with one another is known as API integration. These terms have become the “buzz” in IT departments as more businesses adopt the digital transformation trend in recent years. Having said that, you might not understand what APIs or API integrations are if you’re not a developer or don’t work in the IT department.

What is an API?

A programming concept known as an API (application program interface) exposes the features of a specific application or web service as a collection of HTTP request/response messages.

Applications are created using SDKs (software development kits), but real-time communication between other developers and your business intelligence is made possible through APIs. With a robust API, you can create a completely new business intelligence application without modifying your current platform.

Building business intelligence requires APIs because they give others access to your data, enabling them to create applications you could never have imagined. APIs enable businesses to escape the constraints of their existing systems, creating opportunities for innovative approaches to boost output and efficiency.

What are the Important Steps of API Design?

A successful and intuitive API must go through several vital steps:

1. Requirement Gathering: By conducting research, surveys, and interviews to better understand the needs and expectations of API users, the design of the API can be adjusted to satisfy particular needs like compatibility and performance.

2. Endpoint Definition: Clearly outlining the endpoints or functionalities that the API will provide, making sure that they are arranged and named in an understandable way for ease of access.

3. Data Modeling: To create a consistent and user-friendly experience, efficiently structure and represent data by defining data types, building relationships between entities, and developing schemas.

4. Security Measures: To protect the API and user data, a variety of security measures are implemented, including encryption, authorization mechanisms, and authentication mechanisms (such as OAuth, JWT, and API keys).

5. Error Handling: Assisting developers in troubleshooting and resolving issues by defining error codes, messages, and responses and giving clients meaningful feedback.

6. Documentation: To enable developers to integrate the API with ease, create thorough and easy-to-use documentation outlining the endpoints, request/response formats, authentication techniques, and other pertinent information.

7. Testing: Comprehensively test the API to guarantee its dependability, functionality, and performance. Covering a range of scenarios, such as edge cases, positive and negative cases, and load testing to find and fix any problems.

8. Versioning Strategy: Putting in place a versioning system to control upcoming updates will let developers upgrade to newer iterations at their own leisure and keep ongoing integrations from being interrupted.

 4 Major Types of APIs

Below are the 4 major and popular types of APIs:

1. Public or Open APIs

Open APIs, also known as Public APIs, operate using a suite of tools, routines, and protocols designed for software application development. They enable access to application data while safeguarding developers from accessing shared source codes. This arrangement allows companies to offer their services while maintaining proprietary ownership over developer output.

Developers benefit from Open APIs by creating innovative applications based on organizational features or service data, primarily utilizing RESTful APIs that offer authentication and authorization. These APIs facilitate effective integration between new programs built by developers.

The demand for public APIs has surged, leading to the creation of numerous groundbreaking applications and services.

2. Partner APIs

Partner APIs are specialized interfaces that enable organizations to access data and services offered by other businesses (B2B). This streamlined approach empowers businesses to incorporate unique features within their applications or services by leveraging a partner’s resources.

By utilizing existing technologies through partner APIs, companies can reduce costs and allocate time more efficiently. Integration of valuable data and services, such as customer feedback or additional products, enhances customer experience and drives revenue growth, aligning with distinct business models.

3. Internal APIs

Internal APIs are intended for use internally by an organization’s own developers. These APIs facilitate data transmission between different components of a system, enabling process automation.

Commonly proprietary systems, internal APIs enable various applications and systems within an organization to communicate with each other, creating a layer of abstraction that renders them independent units regarding modifications or maintenance. Incorporating innovative technologies and services into existing systems becomes a simplified process with the help of internal APIs.

4. Composite APIs

Composite APIs consolidate multiple APIs into one interface, providing developers with a unified view of data from different sources. This integration simplifies data access and utilization, particularly in connecting various cloud services.

By offering a unified interface for accessing multiple APIs, composite APIs streamline the development process and provide cost-effective solutions, eliminating the need for developers to write separate code for each individual API.

Reasons Why APIs are Important for Businesses

1. Linking Different Systems: APIs help systems, apps, and platforms talk to each other, making work smoother and faster.

2. Encouraging New Ideas: By letting outside developers use their tools, APIs inspire creativity and help companies grow.

3. Making Things Consistent: APIs allow businesses to give customers the same experience no matter where they are, whether it’s on a phone, website, or social media.

4. Accessing Extra Services: Businesses can team up with other services through APIs, getting things like payment processing and location finding to market quicker.

5. Using Data Wisely: APIs help businesses understand their data better, make smart choices, and get better results.

6. Growing with Demand: APIs let businesses change and grow to meet what customers want.

7. Saving Time and Money: By using APIs, businesses can focus on what they do best, cutting costs and working more efficiently.

8. Staying Safe: APIs keep data safe and follow rules about how data is handled.

9. Making Customers Happy: With APIs, businesses can give customers what they want and offer extra services to keep them happy.

10. Staying Ahead: APIs help businesses be different from the competition by offering unique solutions and experiences tailored to their customers’ needs.

So, as you can see APIs are super important for businesses today. They help with everything from making work easier to coming up with new ideas and keeping customers satisfied in our digital world.

Best Practices for API Integration

More than just linking two systems is needed for an API integration to be successful such as ongoing management, meticulous execution, and strategic planning are also necessary. Here are some best practices to take into consideration to help guarantee the success of your API integration Australia projects.

Security – The 1st Priority

Prioritising security is crucial when integrating APIs. When a token-based authentication is used for API integration ensure it is safe, and that the data transfers are encrypted. To stay ahead of emerging threats, review and update your security measures on a regular basis.

Use of Industry-Standard Protocols

REST or SOAP are industry-standard protocols that ensure interoperability and simplicity of integration. REST, in particular, is widely supported and easy to use, making it a popular choice for many businesses.


Think about how you might need to scale your integration later on. Your needs for API integration will probably change as your business expands. Consider this when designing your APIs, allowing for scalability and flexibility as your needs change.

Logging and Handling Errors

Fast problem diagnosis and resolution depend on efficient error handling and logging. Ensure that all API calls are recorded for future reference and that your APIs provide helpful error messages.


Effective API integration requires good documentation. It guarantees that developers are aware of the available endpoints, the format of the data, and the error-handling procedures for the API.

Testing Regularly

It’s essential to test frequently to make sure your API integrations are operating properly. Functional, security, and performance testing are all included in this. To make sure that this is done thoroughly and consistently, automated testing can be helpful.


APIs play a vital role in the integration of business intelligence as they furnish the necessary resources for informed decision-making rooted in up-to-date data. Furthermore, they pave the way for prospective functionalities within your framework, such as live data streams, tailored reports, and notifications regarding shifts in particular facets of your company’s operations.