Learn, Generate, & Improve Code With Genislab AI

Web application testing

Web application testing

We help achieve all-around quality of your web solution

Our web testing services

With a comprehensive services package, Genislab provides end-to-end testing of your web application or delivers a standalone QA service to address a certain challenging aspect.

Functional testing

Genislab evaluates each feature in your web application in the context of the pre-documented functional requirements. Our goal here is to uncover system aspects that fail to meet operational metrics or return expected results.

Performance testing

Subjecting your web platform to a range of performance test scenarios, our team assesses how stable, resilient, and responsive your app stays under normal and extreme loads while pinpointing critical bottlenecks and limitations.

Usability testing

Drawing on our UX/UI testing expertise and the ability to engage independent user groups, we seek out faults and inconsistencies in the information architecture, user flows, and graphical interface of your web app.

Compatibility testing

To ensure your web solution stays fully operational regardless of the platform it is used on, Genislab specialists review its compatibility with multiple devices, operating systems, browsers, and networks, and report the detected issues.

Compliance testing

Genislab checks whether your website or web app conforms with the applicable local and industry-specific regulations. We also evaluate your solution’s capacity against the development standards and identify all non-compliant areas.

Cybersecurity testing

In the course of comprehensive security assessment, our team scans your web application for vulnerabilities, reviews its source code for security-undermining flaws, and verifies its protection mechanisms with a series of simulated cyberattacks.

Localization testing

Our testing specialists make sure your web app supports the cultural specifics and linguistic standards of the target market. We look into the portal’s functionality, graphic interface, and UX, and uncover localization faults that could disrupt end-users’ experience.

Test automation

To provide for continuous quality assurance of your web portal under development or maintenance and accelerate release cycles, we automate workflows for multiple testing types, utilizing a combination of well-established practices and forefront technologies.


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Entrust your web application’s quality to our experienced testing team.


Testing strategies for all web solutions

Depending on your web application type, we put together a well-balanced suite of QA practices to handle specific bottlenecks and make the application function flawlessly.

Web portal testing

In the course of web portal investigation, we look into such mission-critical areas as search and navigation, data security, content management, and collaboration capabilities.   

We are adept at assuring the quality of: 

  • Patient portals 
  • Ecommerce portals 
  • B2B marketplaces 
  • Enterprise portals, and more

Web service testing

Genislab puts your web service to a test, emphasizing cross-device compatibility, load endurance, response time, and user acceptance. 

Our testing team has in-depth knowledge of: 

  • Data streaming services 
  • Social networking applications 
  • App marketplaces, and more

Website testing

When testing your website, our QA professionals give special consideration to its logical layout and navigation, forms and input fields, mobile-friendliness, and transaction security.  

We are skilled in testing: 

  • Ecommerce websites 
  • Educational websites 
  • Business websites 
  • Media websites, and more

SaaS application testing

With our SaaS app testing strategy, we focus on rooting out compatibility glitches, latency issues, faults that disrupt service continuity, and other essential aspects in your cloud-based system. 

Genislab is well-versed in: 

  • CRMs 
  • CMSs 
  • Payment gateways 
  • Project management solutions, and more


Our QA toolkit

Web app testing brings tangible results

As you integrate our testing services into the SDLC, Genislab team helps you attain the web app’s excellence by ensuring:

The fully-functional feature set that conforms to the pre-development requirements

The user-friendly, accessible interface based on intuitive user experience

Stable performance and resilience to high stress and load

Airtight data security and solid system protection

Consistently robust operation across assorted environments

Alignment with global standards and domain-specific regulations

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Learn how our company can refine your app’s operation by applying web application testing.

Why call on Genislab?

Multi-domain knowledge

With 20+ years in the SQA field, we have accumulated substantial expertise across a range of industries.

Proactive approach

Passionate about every application they get their hands on, our QA specialists provide viable recommendations on web app improvement upon completing the testing process.

A fleet of equipment

To ensure all-round test coverage, Genislab has over 300 mobile devices at its disposal and sets up a fleet of virtual machines on demand.

Continuous upskilling

With unique approach to the educational process, our proprietary QA academy provides our testing engineers, consultants, and business analysts with all the necessary facilities for ongoing training.


How do we utilize AI to increase the quality of the solution? We distinguish between three
potential applications, namely translation, search and sequence anticipation and analysis
and elaborate on each of them below. Some of the examples we provide implement more
than one of the possible applications of AI to achieve their goal.

Translation means that one artifact is converted by the AI to another artifact.
API specifications, namely swagger documentation of the APIs, are translated into executing
code that tests the APIs. This can serve to ease the task of creating ATDD acceptance tests
once the interfaces of the APIs are defined.
Another translation could cluster an existing
set of regression tests in order to minimize them
yet another translates requirements to
their associated risk.
We envision that many more translations are possible, especially with the introduction of large language models new use cases will be explored. For example,

it is possible with state of the art large language models to translate description of a low
level programming task to useful code snippets

Using AI to search is a classical application of AI to testing.

For example genetic algorithms are used to test the solution for security vulnerabilities, e.g., AI search has also been applied to non-functional chaos directed test generation  and to functional
testing of APIs .

Many time the search is guided by an implicit or explicit coverage model that serves to guide the search. For example, in the case of security vulnerabilities models of code coverage are applied.

Generate test cases automatically based on the natural language input, ensuring comprehensive test coverage

  • Product guide generation
  • Deployment Auditing and Evaluation of Models
  • Audio Transcription
  • Labeling Data Translation Models
  • Pre-Training
  • Semantic Search
  • Increasing Inference Speed
  • Image Reducing Latency of Models

The last application of AI occurs through sequences and analysis.

Anomaly detection has been applied solution logs in order to analyze and debug the system. Even more exciting large language models with generative capabilities are attempting to anticipate the next program statement a programmer enters with some success.

Anomaly detection has nuances and a range of approaches that apply. For example, a black Friday activity on the system represents a change in the way the system is used but is not a stable ongoing change but a single abrupt occurrence. Techniques have been developed to identify change that is stable over time and requires a change in the solution. They are name drift analysis,