Digital Accessibility Testing: How Far Can Automation Take You?
June 14, 2021

Dylan Barrell
Deque Systems

Automated software testing offers many benefits(link is external), among them speed and efficiency, wider coverage of application features, and improved accuracy and reliability of results. It's no wonder DevOps teams are moving to automated testing in droves. There's a temptation in thinking you can fully automate 100% of the process, but often the circumstance is a bit more complicated.

When it comes to digital accessibility — making sure your website, mobile site, app or content is convenient and easy to use for people with disabilities — great progress has been made with automated testing. Deque Systems recently conducted a study that found the total number of digital accessibility issues which can be identified through our automated technology is 57%. This is much higher than the widely-accepted belief that automation provides only 20-30% of coverage.

This increase can be attributed to an appropriate redefinition of "automated coverage." Measures are often based on the percentage of WCAG success criteria that can be tested using automated tools. Once you shift the definition to the total volume of issues identified — a real-world approach — the true impact of automated accessibility testing becomes clear.

Some types of issues occur much more frequently than others, which can result in a much higher percentage of total accessibility issues discovered using automated tools. It should be noted that rules library which powered the automation tools used in our study places a huge emphasis on not reporting false positives or erroneous issues.

Most organizations would agree that identifying 57% of accessibility blocks via automation is good, but when challenged with becoming fully accessible, or even facing an accessibility lawsuit, there's the remaining 43%! At this point, many believe the process becomes entirely manual — a real drag on time and resources. The better approach is transitioning to a hybrid between automated and manual testing.

IGT involves taking developers on "virtual tours" of their digital properties, pointing out issues and areas in need of optimization. It's based on simple question-and-answer interactions that don't require accessibility expertise, so developers learn as they proceed. Yes, some manual intervention is required, but the process is much easier when the problems are being clearly identified.

Automation is bringing tremendous advances to the field of accessibility testing — but don't be lulled into thinking the entire process can be handled without human intervention. The promise of certain automation-based workarounds often avoid the core issues and can even make the result more frustrating for people with disabilities. Your best bet at identifying the widest and largest range of accessibility issues is through a comprehensive approach that combines both automated and guided manual testing. Then, the remaining minority of issues left can be addressed manually.

Dylan Barrell is CTO of Deque Systems
Share this

Industry News

March 06, 2025

Parasoft(link is external) is showcasing its latest product innovations at embedded world Exhibition, booth 4-318(link is external), including new GenAI integration with Microsoft Visual Studio Code (VS Code) to optimize test automation of safety-critical applications while reducing development time, cost, and risk.

March 06, 2025

JFrog announced general availability of its integration with NVIDIA NIM microservices, part of the NVIDIA AI Enterprise software platform.

March 06, 2025

CloudCasa by Catalogic announce an integration with SUSE® Rancher Prime via a new Rancher Prime Extension.

March 05, 2025

MacStadium(link is external) announced the extended availability of Orka(link is external) Cluster 3.2, establishing the market’s first enterprise-grade macOS virtualization solution available across multiple deployment options.

March 05, 2025

JFrog is partnering with Hugging Face, host of a repository of public machine learning (ML) models — the Hugging Face Hub — designed to achieve more robust security scans and analysis forevery ML model in their library.

March 05, 2025

Copado launched DevOps Automation Agent on Salesforce's AgentExchange, a global ecosystem marketplace powered by AppExchange for leading partners building new third-party agents and agent actions for Agentforce.

March 05, 2025

Harness completed its merger with Traceable, effective March 4, 2025.

March 04, 2025

JFrog released JFrog ML, an MLOps solution as part of the JFrog Platform designed to enable development teams, data scientists and ML engineers to quickly develop and deploy enterprise-ready AI applications at scale.

March 04, 2025

Progress announced the addition of Web Application Firewall (WAF) functionality to Progress® MOVEit® Cloud managed file transfer (MFT) solution.

March 04, 2025

Couchbase launched Couchbase Edge Server, an offline-first, lightweight database server and sync solution designed to provide low latency data access, consolidation, storage and processing for applications in resource-constrained edge environments.

March 04, 2025

Sonatype announced end-to-end AI Software Composition Analysis (AI SCA) capabilities that enable enterprises to harness the full potential of AI.

March 03, 2025

Aviatrix® announced the launch of the Aviatrix Kubernetes Firewall.

March 03, 2025

ScaleOps announced the general availability of their Pod Placement feature, a solution that helps companies manage Kubernetes infrastructure.

March 03, 2025

Cloudsmith raised a $23 million Series B funding round led by TCV, with participation from Insight Partners and existing investors.

February 27, 2025

IBM has completed its acquisition of HashiCorp, whose products automate and secure the infrastructure that underpins hybrid cloud applications and generative AI.