ECommerce Testing Services

Guaranteeing a seamless and satisfying shopping journey for your customers with our eCommerce quality assurance solutions

5.0

37 reviews

Software testing company with 5-star reviews on Clutch, GoodFirms, and G2.

Years on the market

14 +

Software QA engineers

250 +

Locations

Projects tested from scratch

300 +

Integrations into an existing development & testing process

200 +

Clients over the globe

300 +

Testing an eCommerce application involves checking its functionality, security, performance, and usability to ensure it works well and provides a positive user experience. Thoroughly tested eCommerce solutions tend to have higher conversion rates. Around 88% of online shoppers are less likely to return to an eShop after a bad experience, emphasizing the importance of comprehensive testing in ensuring a positive user experience.

eCommerce Architecture

What Features Need To Be Tested?

Forget password

User profile

Catalog

Search and filters

Search result page

Order details page

Shopping cart

Deals and promo codes

Order confirmation page

Payment and refund

Order tracking

Wishlist

Info page

eCommerce Software Applications We Test

B2B

Business-to-Business

eCommerce App

B2C

Business-to-Consumer

eCommerce App

C2B

Consumer-to-Business

eCommerce App

D2C

Direct-to-consumer

eCommerce App

Our Solutions For Your eCommerce Testing Challenges

We understand the unique obstacles that eCommerce businesses face in ensuring seamless operations and customer satisfaction. Let's delve into these challenges and unveil our tailored solutions.

Compatibility Issues

Challenge

eCommerce platforms must seamlessly function across multiple devices and browsers, making compatibility testing a daunting task.

Solution

Our comprehensive compatibility testing ensures your website or application works seamlessly across various platforms, ensuring a consistent and delightful user experience for every customer.

Performance Bottlenecks

Challenge

Slow load times and performance issues can lead to frustrated users and abandoned shopping carts.

Solution

We conduct rigorous performance testing to identify and eliminate bottlenecks, ensuring your eCommerce platform delivers optimal speed and responsiveness, even during peak traffic.

Security Safeguards

Challenge

With the rising threat of cyber-attacks, securing sensitive customer information is a paramount concern for eCommerce businesses.

Solution

Our robust security testing identifies vulnerabilities, helping you protect your platform against potential breaches, safeguarding your customers' trust, and ensuring compliance with industry standards.

Our Scope Of eCommerce Testing Services

Our eCommerce Testing Services are designed to meticulously assess and enhance every aspect of your online store. Here's a glimpse into the tests we execute to ensure the quality of eCommerce solutions:

Functional Testing

We meticulously validate each function, ensuring a smooth and glitch-free shopping journey.

Performance Testing

We simulate various user scenarios to guarantee that your platform can handle peak loads without compromising performance.

Security Testing

We identify vulnerabilities, assess data encryption, and implement measures to safeguard your eShop against potential cyber threats, providing a secure shopping environment for your users.

Usability Testing

We assess navigation, layout, and overall user interface to ensure that your online shop is intuitive and user-friendly.

Compatibility Testing

Our testing covers various platforms to ensure your eCommerce website looks and functions seamlessly across different devices, browsers, and operating systems.

Cross-Device Testing

We assess functionality, performance, and compatibility across different devices to ensure your app meets the expectations of your mobile audience.

Cross-Browser Testing

Our team thoroughly checks the work of your eCommerce website across the leading browsers, like Chrome, Safari, and Firefox, to ensure a consistent user experience, regardless of the browser choice.

Regression Testing

We verify that new features or modifications haven’t negatively impacted previously created functionalities, maintaining the integrity and stability of your eCommerce platform.

Localization Testing

If your online shop targets a global audience, we execute localization testing by assessing its alignment with quality requirements in terms of different languages and cultures. This way we ensure not only accurate translation, good-looking UI, and seamless software operation but also a positive user experience in various locales.

Partner with DeviQA: see the difference

Test coverage :

90%

Before

After

2.5 weeks to run regression testing

1 day to run regression testing

7 days to run smoke testing

1 day to run smoke testing

Outdated test cases

60% increase in the number of regression tests and relevant test cases

50% test coverage

90% test coverage

Supported localizations were not tested

27 localizations supported by QA engineers

No automation testing

>1500 automated test scenarios created

Read Story

Test coverage :

97%

Before

After

Existing workflow in Jira didn’t allow to understand how many bugs were left unfixed before the release and their priorities

Adjusted the Jira workflow, integrated TestRail with Jira to be able to see statisticls of the issues per release

The lack of test documentation

Developed necessary test artifacts that adhere to industry standards and are easily maintainable

No Automation test coverage

Added multithreading to run tests in parallel on 10 different threads, which reduced the time of the test run in 7 times

Read Story

Releases per day:

Before

After

1 huge release every 1-2 months

4-5 releases per day

1 large team with an unclear scope of work

~15 squads each with a straight and clear working plan

0 test cases

200+ e2e test cases for the whole app

1-2 months to release a new feature

2 weeks max to release a new feature

Convoluted and complex process of urgent bug-fix releases

Clear and fast way to release any fix

Read Story

Test coverage:

90%

Before

After

The architecture of the test suite could not be scaled and was difficult to maintain for a large number of tests

Designed the architecture of the test framework from scratch

Tests couldn’t be integrated with other testing and DevOps tools

Integrated auto tests with Jenkins, TestRail, and Jira to have a complete test ecosystem up and running

Tests took many hours to be completed

Built a test suite that ran auto-tests using 16 threads on multiple machines

Read Story

Test coverage:

80%

Before

After

Test suite was developed without maintenance and scalability support in mind

We conducted a comprehensive review of the existing test suite, identified areas of improvement and implemented best testing practices

The high number of issues or defects that were present in the software

The number of issues reduced to 25 % after automation was properly implemented

Slow test results and the lack of stable automated tests, leading to hindered deployment capabilities

SoftNAS experienced several benefits, including faster test results and the acquisition of stable automated tests, resulting in improved deployment capabilities

Read Story

Supported platforms:

Before

After

Developers were responsible for testing, and they executed it chaotically

>90% of the application was covered with test cases

Many bugs were overlooked during regular test runs

100% coverage was ensured for smoke and sanity testing

There was a lack of test documentation

>300 blocker issues were detected

There were many major and critical issues in a production environment

The number of customer support issues was reduced by more than 50%

Read Story

Parallel threads:

Before

After

Outdated BE autotests

All existing autotests are up-to-date

Only smoke tests were automated on BE

~2800 autotests added

No autotests on FE

>90% of test cases are automated

Manual smoke testing on FE

~99% of smoke tests are automated

Manual release testing

~95% decrease in post-release regression bugs, the implementation of test automation has proven to be highly effective

Read Story

Test coverage:

90%

Before

After

There was no formal QA process

An efficient and transparent QA process was set up from scratch

There was no test documentation

Well-structured test cases were created to cover the main scenarios

Automation scripts were useless because they didn’t check the required functionality

Following best practices, automation testing utilized independent tests, API-driven data creation, and the Page Object Pattern

Read Story

Released PWAs:

40+

Before

After

There were no QA engineers, and testing was executed by a product owner and developers

All QA/QC activities are performed by a seasoned QA engineer

All testing activities came down to ad-hoc testing and unit testing

Regression testing, pre-release testing, post-release smoke testing, and smoke testing are regularly executed

100% of the release content is tested using different approaches

150+ Postman test cases were created and integrated into the workflow

Read Story

Test coverage:

>80%

Before

After

4 days were needed to run regression testing

~2 hours were needed to run regression testing

Regression tests were executed on one device only

5 various devices with different operating systems, screen resolutions, and browsers were used to run regression testing

There were less than 200 automated tests

>1000 automated tests were developed

1 browser was used

4 browsers were supported

Read Story

Test coverage:

99%

Before

After

There was no formal QA process

Manual story testing and verification was built from scratch

There was a lack of QA resources to test all platforms and product areas

99% of the application was covered with test cases and the smoke and regression checklists

The test documentation was incomplete

A well-structured test plan enabling thorough validation was created

Testing was executed by developers

A fully autonomous QA process was set up where QA engineers were fully responsible for testing

Read Story

Regression testing run:

Before

After

2 weeks were needed to run regression testing

<1 week is needed to run regression testing

Regression testing was performed only on 2 web devices

>6 various devices with the latest OS versions are used to run regression testing

There were no auto-tests

>150 automated tests have been created

>100 bugs have been reported

3 browsers are supported

2x faster task handling

Read Story

Test coverage:

>85%

Before

After

Regression testing was not executed

3 hours were needed to complete regression testing

The product contained a lot of bugs and had a bad UX

>300 functional and non-functional bugs were reported

There were no automated tests

350+ automation scenarios were created

Test coverage was low

>85% of the product was covered with automated tests

There were no test cases

350+ test cases were created from scratch

Read Story

Bugs reported:

>1000

Before

After

The QA process was unstructured and inconsistent

A QA team participates in creating ticket scope for upcoming releases

The previous QA team was not efficient enough

All the required test documentation has been rewritten

The test documentation was incomplete and out of date

>6,000 test cases have been written for a regression test suite for client applications

There were a lot of issues reported by clients

The DeviQA engineers have reduced the number of bugs reported by clients/therapists

Read Story

Test coverage of the API:

100%

Before

After

A bug-tracking system was not used

280+ regression E2EE cases have been created, which let a team reduce the time of regression testing to 1.5 days

There were no regression checklists

~40% of tests have been automated, and this value is growing

There was poor documentation coverage

100% of the core flow is covered with documentation

The tests were not automated

5+ performance suites have been created

Read Story

Test coverage :

90%

Before

After

2.5 weeks to run regression testing

1 day to run regression testing

7 days to run smoke testing

1 day to run smoke testing

Outdated test cases

60% increase in the number of regression tests and relevant test cases

50% test coverage

90% test coverage

Supported localizations were not tested

27 localizations supported by QA engineers

No automation testing

>1500 automated test scenarios created

Read Story

Dev capacity:

+15%

Before

After

Didn’t have a formal QA process

Built smooth and well-working processes

Didn’t make automated testing

Test automation : smoke, API, UI on all supported browsers

Testing was carried out by the devs

Full coverage of the application by test cases

Read Story

Test coverage :

97%

Before

After

Existing workflow in Jira didn’t allow to understand how many bugs were left unfixed before the release and their priorities

Adjusted the Jira workflow, integrated TestRail with Jira to be able to see statisticls of the issues per release

The lack of test documentation

Developed necessary test artifacts that adhere to industry standards and are easily maintainable

No Automation test coverage

Added multithreading to run tests in parallel on 10 different threads, which reduced the time of the test run in 7 times

Read Story

Releases per day:

Before

After

1 huge release every 1-2 months

4-5 releases per day

1 large team with an unclear scope of work

~15 squads each with a straight and clear working plan

0 test cases

200+ e2e test cases for the whole app

1-2 months to release a new feature

2 weeks max to release a new feature

Convoluted and complex process of urgent bug-fix releases

Clear and fast way to release any fix

Read Story

Test coverage:

90%

Before

After

The architecture of the test suite could not be scaled and was difficult to maintain for a large number of tests

Designed the architecture of the test framework from scratch

Tests couldn’t be integrated with other testing and DevOps tools

Integrated auto tests with Jenkins, TestRail, and Jira to have a complete test ecosystem up and running

Tests took many hours to be completed

Built a test suite that ran auto-tests using 16 threads on multiple machines

Read Story

Test coverage:

80%

Before

After

Test suite was developed without maintenance and scalability support in mind

We conducted a comprehensive review of the existing test suite, identified areas of improvement and implemented best testing practices

The high number of issues or defects that were present in the software

The number of issues reduced to 25 % after automation was properly implemented

Slow test results and the lack of stable automated tests, leading to hindered deployment capabilities

SoftNAS experienced several benefits, including faster test results and the acquisition of stable automated tests, resulting in improved deployment capabilities

Read Story

Supported platforms:

Before

After

Developers were responsible for testing, and they executed it chaotically

>90% of the application was covered with test cases

Many bugs were overlooked during regular test runs

100% coverage was ensured for smoke and sanity testing

There was a lack of test documentation

>300 blocker issues were detected

There were many major and critical issues in a production environment

The number of customer support issues was reduced by more than 50%

Read Story

Parallel threads:

Before

After

Outdated BE autotests

All existing autotests are up-to-date

Only smoke tests were automated on BE

~2800 autotests added

No autotests on FE

>90% of test cases are automated

Manual smoke testing on FE

~99% of smoke tests are automated

Manual release testing

~95% decrease in post-release regression bugs, the implementation of test automation has proven to be highly effective

Read Story

Test coverage:

90%

Before

After

There was no formal QA process

An efficient and transparent QA process was set up from scratch

There was no test documentation

Well-structured test cases were created to cover the main scenarios

Automation scripts were useless because they didn’t check the required functionality

Following best practices, automation testing utilized independent tests, API-driven data creation, and the Page Object Pattern

Read Story

Released PWAs:

40+

Before

After

There were no QA engineers, and testing was executed by a product owner and developers

All QA/QC activities are performed by a seasoned QA engineer

All testing activities came down to ad-hoc testing and unit testing

Regression testing, pre-release testing, post-release smoke testing, and smoke testing are regularly executed

100% of the release content is tested using different approaches

150+ Postman test cases were created and integrated into the workflow

Read Story

Test coverage:

>80%

Before

After

4 days were needed to run regression testing

~2 hours were needed to run regression testing

Regression tests were executed on one device only

5 various devices with different operating systems, screen resolutions, and browsers were used to run regression testing

There were less than 200 automated tests

>1000 automated tests were developed

1 browser was used

4 browsers were supported

Read Story

Test coverage:

99%

Before

After

There was no formal QA process

Manual story testing and verification was built from scratch

There was a lack of QA resources to test all platforms and product areas

99% of the application was covered with test cases and the smoke and regression checklists

The test documentation was incomplete

A well-structured test plan enabling thorough validation was created

Testing was executed by developers

A fully autonomous QA process was set up where QA engineers were fully responsible for testing

Read Story

Regression testing run:

Before

After

2 weeks were needed to run regression testing

<1 week is needed to run regression testing

Regression testing was performed only on 2 web devices

>6 various devices with the latest OS versions are used to run regression testing

There were no auto-tests

>150 automated tests have been created

>100 bugs have been reported

3 browsers are supported

2x faster task handling

Read Story

Test coverage:

>85%

Before

After

Regression testing was not executed

3 hours were needed to complete regression testing

The product contained a lot of bugs and had a bad UX

>300 functional and non-functional bugs were reported

There were no automated tests

350+ automation scenarios were created

Test coverage was low

>85% of the product was covered with automated tests

There were no test cases

350+ test cases were created from scratch

Read Story

Bugs reported:

>1000

Before

After

The QA process was unstructured and inconsistent

A QA team participates in creating ticket scope for upcoming releases

The previous QA team was not efficient enough

All the required test documentation has been rewritten

The test documentation was incomplete and out of date

>6,000 test cases have been written for a regression test suite for client applications

There were a lot of issues reported by clients

The DeviQA engineers have reduced the number of bugs reported by clients/therapists

Read Story

Test coverage of the API:

100%

Before

After

A bug-tracking system was not used

280+ regression E2EE cases have been created, which let a team reduce the time of regression testing to 1.5 days

There were no regression checklists

~40% of tests have been automated, and this value is growing

There was poor documentation coverage

100% of the core flow is covered with documentation

The tests were not automated

5+ performance suites have been created

Read Story

Test coverage :

90%

Before

After

2.5 weeks to run regression testing

1 day to run regression testing

7 days to run smoke testing

1 day to run smoke testing

Outdated test cases

60% increase in the number of regression tests and relevant test cases

50% test coverage

90% test coverage

Supported localizations were not tested

27 localizations supported by QA engineers

No automation testing

>1500 automated test scenarios created

Read Story

Test coverage :

97%

Before

After

Existing workflow in Jira didn’t allow to understand how many bugs were left unfixed before the release and their priorities

Adjusted the Jira workflow, integrated TestRail with Jira to be able to see statisticls of the issues per release

The lack of test documentation

Developed necessary test artifacts that adhere to industry standards and are easily maintainable

No Automation test coverage

Added multithreading to run tests in parallel on 10 different threads, which reduced the time of the test run in 7 times

Read Story

Releases per day:

Before

After

1 huge release every 1-2 months

4-5 releases per day

1 large team with an unclear scope of work

~15 squads each with a straight and clear working plan

0 test cases

200+ e2e test cases for the whole app

1-2 months to release a new feature

2 weeks max to release a new feature

Convoluted and complex process of urgent bug-fix releases

Clear and fast way to release any fix

Read Story

Test coverage:

90%

Before

After

The architecture of the test suite could not be scaled and was difficult to maintain for a large number of tests

Designed the architecture of the test framework from scratch

Tests couldn’t be integrated with other testing and DevOps tools

Integrated auto tests with Jenkins, TestRail, and Jira to have a complete test ecosystem up and running

Tests took many hours to be completed

Built a test suite that ran auto-tests using 16 threads on multiple machines

Read Story

Test coverage:

80%

Before

After

Test suite was developed without maintenance and scalability support in mind

We conducted a comprehensive review of the existing test suite, identified areas of improvement and implemented best testing practices

The high number of issues or defects that were present in the software

The number of issues reduced to 25 % after automation was properly implemented

Slow test results and the lack of stable automated tests, leading to hindered deployment capabilities

SoftNAS experienced several benefits, including faster test results and the acquisition of stable automated tests, resulting in improved deployment capabilities

Read Story

Supported platforms:

Before

After

Developers were responsible for testing, and they executed it chaotically

>90% of the application was covered with test cases

Many bugs were overlooked during regular test runs

100% coverage was ensured for smoke and sanity testing

There was a lack of test documentation

>300 blocker issues were detected

There were many major and critical issues in a production environment

The number of customer support issues was reduced by more than 50%

Read Story

Parallel threads:

Before

After

Outdated BE autotests

All existing autotests are up-to-date

Only smoke tests were automated on BE

~2800 autotests added

No autotests on FE

>90% of test cases are automated

Manual smoke testing on FE

~99% of smoke tests are automated

Manual release testing

~95% decrease in post-release regression bugs, the implementation of test automation has proven to be highly effective

Read Story

Test coverage:

90%

Before

After

There was no formal QA process

An efficient and transparent QA process was set up from scratch

There was no test documentation

Well-structured test cases were created to cover the main scenarios

Automation scripts were useless because they didn’t check the required functionality

Following best practices, automation testing utilized independent tests, API-driven data creation, and the Page Object Pattern

Read Story

Released PWAs:

40+

Before

After

There were no QA engineers, and testing was executed by a product owner and developers

All QA/QC activities are performed by a seasoned QA engineer

All testing activities came down to ad-hoc testing and unit testing

Regression testing, pre-release testing, post-release smoke testing, and smoke testing are regularly executed

100% of the release content is tested using different approaches

150+ Postman test cases were created and integrated into the workflow

Read Story

Test coverage:

>80%

Before

After

4 days were needed to run regression testing

~2 hours were needed to run regression testing

Regression tests were executed on one device only

5 various devices with different operating systems, screen resolutions, and browsers were used to run regression testing

There were less than 200 automated tests

>1000 automated tests were developed

1 browser was used

4 browsers were supported

Read Story

Test coverage:

99%

Before

After

There was no formal QA process

Manual story testing and verification was built from scratch

There was a lack of QA resources to test all platforms and product areas

99% of the application was covered with test cases and the smoke and regression checklists

The test documentation was incomplete

A well-structured test plan enabling thorough validation was created

Testing was executed by developers

A fully autonomous QA process was set up where QA engineers were fully responsible for testing

Read Story

Regression testing run:

Before

After

2 weeks were needed to run regression testing

<1 week is needed to run regression testing

Regression testing was performed only on 2 web devices

>6 various devices with the latest OS versions are used to run regression testing

There were no auto-tests

>150 automated tests have been created

>100 bugs have been reported

3 browsers are supported

2x faster task handling

Read Story

Test coverage:

>85%

Before

After

Regression testing was not executed

3 hours were needed to complete regression testing

The product contained a lot of bugs and had a bad UX

>300 functional and non-functional bugs were reported

There were no automated tests

350+ automation scenarios were created

Test coverage was low

>85% of the product was covered with automated tests

There were no test cases

350+ test cases were created from scratch

Read Story

Bugs reported:

>1000

Before

After

The QA process was unstructured and inconsistent

A QA team participates in creating ticket scope for upcoming releases

The previous QA team was not efficient enough

All the required test documentation has been rewritten

The test documentation was incomplete and out of date

>6,000 test cases have been written for a regression test suite for client applications

There were a lot of issues reported by clients

The DeviQA engineers have reduced the number of bugs reported by clients/therapists

Read Story

Test coverage of the API:

100%

Before

After

A bug-tracking system was not used

280+ regression E2EE cases have been created, which let a team reduce the time of regression testing to 1.5 days

There were no regression checklists

~40% of tests have been automated, and this value is growing

There was poor documentation coverage

100% of the core flow is covered with documentation

The tests were not automated

5+ performance suites have been created

Read Story

Choose Your Cooperation Model

We understand that every business has unique testing needs. That's why we offer flexible cooperation models, ensuring you get the right eCommerce Testing Services tailored to your requirements.

Staff Augmentation

We seamlessly integrate our skilled professionals into your in-house teams, augmenting them with the specialized expertise they lack.

Best Option for: Projects with fluctuating workloads or projects requiring additional expertise without long-term commitments.
Easily scale your team according to project demands.
Pay only for the additional expertise you need, reducing overall costs.
Quickly adapt to changes in project scope and requirements.

Get started

Dedicated Team

A dedicated team operates as a natural extension of your in-house resources, working solely on your tasks and under your supervision.

Best Option for: Large-scale eCommerce projects requiring continuous, dedicated attention and a cohesive team dynamic.
Maintain complete control over a team, tasks, and project timeline.
Foster a close-knit collaboration between your in-house and our dedicated team.
Leverage the expertise of a consistent team familiar with your business processes.

Get started

Outsourcing

From test strategy development to test execution, our dedicated team manages the entire testing process, allowing you to focus on your core business functions.

Best Option for: Companies seeking a turnkey solution where eCommerce testing is entirely managed by external experts, allowing for a hands-off approach.
Free up your internal resources to concentrate on strategic business objectives.
Eliminate the need for in-house testing infrastructure and personnel.
Leverage our specialized expertise and experience for comprehensive risk management.

Get started

What you get

Average time saved by implementing our multithreaded test automation

300%

Reduction in your costs by using outsourced software testing

60%

Improvement in time to market for your products and projects

35%

Accelerate development by

30%

Increase test coverage to

95%

Enhancing project quality by

60%

Feel the improvement in

3 days

Reduce bugs up to

87%

Automation faster in parallel by

56x

We serve

Our extensive expertise and resources let us serve not only eCommerce companies but a great variety of other businesses, empowering them to deliver groundbreaking software solutions.

Industries

Healthcare

FinTech

Real Estate

Cybersecurity

Retail

AdTech

Solutions

Banking Apps

SaaS Solutions

ERP Software

CRM Systems

eCommerce

Technologies

Blockchain

Cloud Computing

Internet of Things

Big Data

Deliver Globally

DeviQA serves a diverse array of businesses, such as startups, scale-ups, and global enterprises, hailing from various regions worldwide. Our clients are located across the United States, the European Union, the UK, Canada, the Middle East, and Australia.

Regardless of where you are located, we are well-equipped to assist you in achieving your QA objectives, regardless of their scale or distinctiveness.

Elevate your software quality with our cutting-edge QA solutions.

Don’t let software bugs and performance issues jeopardize your reputation. Surpass your competitors with our specialized data-driven QA solutions that ensure detection and rectification of up to 95% of potential issues. Enter your business email below for a free Proof of Concept to start enhancing your software reliability today.

Here’s what people are saying about DeviQA

Testing for Diabetes Care Firm

Improving testing process efficiency and remaining mindful of the client’s requirements for the project, DeviQA has been an impressive partner. The firm’s project managers have kept the engagement moving smoothly and have made sure the team is available despite working in a different time zone.

Dale Vosburgh

Director, Diabetes Care Firm

Read Full Review

Application Testing for Audio Editing Platform

The engagement met the expectations of the internal team, resulting in an easy to maintain testing framework. DeviQA establishes a smooth workflow through consistent communication. The team leverages their technical expertise and experience to produce quality results.

Ulf Schwekendiek

Lead Engineer, Descript

Read Full Review

SaaS System Testing for FinTech Startup

Through DeviQA’s involvement, the high-quality product has performed reliably and attracted positive customer feedback. The team’s commitment to excellence, consistent availability, and reasonable price point continue to drive success.

Raanan Tauber

QA Manager, Tipalti

Read Full Review

Automated Testing for Sales Learning Platform

Having DeviQA on board has resulted in finding more defects before deploying features to customers, boosting the end product’s overall quality. Their team is not only supportive but also easy to scale as needed. Efficient communication and punctuality are some highlights of their work.

Brad DerManouelian

Senior QA Manager, Sales Learning Platform

Read Full Review

Enhanced Testing Environment for BI and Big Data Solutions Firm

DeviQA developed over 300 test cases in a month and a half, which led to a 70% coverage of the business’ solution and a 45% decrease in its defect rate. Furthermore, the team’s timely services allowed them to implement swinging tests alongside the addition of new pieces of functionality.

Brian Huddleston

Former VP of Development

Read Full Review

QA, Automation, DevOps & TechOps Support for QC & QA Co

DeviQA has demonstrated to be a highly skilled consultant, as they’ve achieved 95% of the client’s quarterly objectives, as well as sprint goals every two weeks. DeviQA’s consultants are very collaborative and open to feedback. Moreover, their communication and availability are impressive.

Alex Ohoussou

Head of QA & TechOPs, QIMA

Read Full Review

QA Testing for Secure Solutions Company

Their independent and accountable team is a significant upgrade compared to experiences with other vendors. DeviQA excels at being punctual, solving problems, communicating effectively, and delivering on their promises. They’re a trustworthy partner that requires minimal supervision.

Janosch Greber

QA Manager, Secure Mobile Solutions Company

Read Full Review

QA tools & platforms we hold expertise in

Automation Testing

Cucumber

Selenium

Appium

Mocha

Playwright

Robot Framework

Specflow

TestNG

WebdriverIO

Selenide

Calabash

Watir

Codeception

Cypress

Security Testing Tools

HCL AppScan

Nessus

NMAP

BurpSuite

Acunetix

OWASP ZAP

Metasploit

Wireshark

DBeaver

Rdp-Sec-Check

SNMPCHECK

AiR

SSLSCAN

Performance Testing Tools

JMeter

Load Runner

Visual Studio

API Testing

Rest API

GraphQL

Apiary

Bluetooth Low Energy API

Apple Pay

Google Pay

Apple Maps

Fingerprint API

API Testing Tools

Postman

Swagger

Charles Proxy

Ready API

ACCELQ

Katalon Platform

REST-Assured

Database Testing

SQL Server

MySQL

Oracle

PostgreSQL

Cassandra

MongoDB

RethinkDB

Amazon S3

Redshift

DynamoDB

Amazon RDS

DocumentDB

Amplify

Lambda

Amazon EC2

Elasticache

Azure Datalake

Blob Storage

CosmosDB

SQL Database

Synapse Analytics

Google Cloud SQL

Google Cloud Datastore

Certifications

ISO 9001:2015

At DeviQA, we take pride in being an ISO 9001:2015 certified company. This certification represents our unwavering commitment to maintaining the highest standards of quality in every aspect of our software testing services. With a focus on customer satisfaction, we adhere to internationally recognized quality management practices to ensure that our clients receive exceptional and reliable testing solutions. Through continuous improvement and compliance with regulatory requirements, we consistently deliver top-notch testing services that exceed our clients' expectations

ISO 20000

We understand the crucial role of IT services in modern businesses. As an ISO 20000 certified company, we excel in delivering efficient and effective IT services to our clients. Our customer-centric approach enables us to tailor our testing solutions to suit your unique requirements, ensuring a seamless integration of testing processes into your software development lifecycle. With a focus on continual service improvement, we optimize our IT Service Management practices to guarantee a smooth and satisfying experience for our valued clients

ISO 27001

The security of our clients' data is of paramount importance to us. As an ISO 27001 certified company, we go above and beyond to protect sensitive information and ensure the confidentiality and integrity of all data entrusted to us. With our robust Information Security Management System (ISMS), we implement stringent security controls, evaluate risks, and take proactive measures to safeguard against potential threats. Rest assured that partnering with us means your valuable data is handled with the utmost care and subject to the highest security standards

ISTQB

As a testament to our team's expertise and commitment to excellence, our software testing professionals hold the esteemed ISTQB (International Software Testing Qualifications Board) certifications. The ISTQB certification is a globally recognized standard for software testing professionals, signifying their proficiency in the latest testing methodologies, best practices, and industry standards. With ISTQB-certified experts on board, we bring a wealth of knowledge and skills to every testing project, ensuring thorough and precise testing to uncover even the most intricate software defects. Partner with us and benefit from our skilled ISTQB-certified professionals who are dedicated to elevating the quality and reliability of your software products

Awards and recognitions

Leading Testing Provider by SoftwareTestingNews in 2021

Top Software Testing and QA Company by Superbcompanies in 2023

Finalist of the European Testing Awards in 2019

Finalist of the Software Testing & QA Awards in 2019

Collaboration process overview

1. Initial contact

During our initial call, we aim to understand your testing requirements and goals

2. Assessment

We evaluate your current testing process and create a tailored plan to enhance it

3. Proof of Concept

We offer a complimentary Proof of Concept, allowing you to experience our proficiency and expertise

4. Trial and evaluation of performance

We start a trial period with you, and once complete, we review the results together and discuss options

5. Contract signing and full-scale QA implementation

Upon mutual agreement, we move forward with the QA process by signing a contract and beginning work

6. Partnership with flexibility

Our engagement options give you commercial flexibility to dial up and dial down resources depending on your own needs

Let’s schedule a call

Flexible collaboration options allow you to choose the level of support that best meets your needs

Frequently Asked Questions

faq

FAQ

What types of testing are included in eCommerce Testing Services?

The scope of eCommerce Testing Services typically includes functional testing, usability testing, performance testing, security testing, compatibility testing, regression testing, and others.

How does functional testing contribute to eCommerce Testing?

Functional testing ensures that all the features and functionalities of an eCommerce platform, such as product search, cart management, and checkout process, work as intended. It helps detect and fix issues related to functionality.

What is usability testing in the context of eCommerce?

Usability testing focuses on evaluating whether an eCommerce website is user-friendly. It involves assessing the website's design, navigation, and overall user experience to ensure it meets the expectations of the target audience.

Why is performance testing essential for eCommerce websites?

Performance testing is crucial to assess how well an eCommerce platform performs under different conditions, including heavy traffic. It helps identify and address performance bottlenecks to ensure the website can handle peak loads without slowdowns or crashes.

What is compatibility testing in eCommerce Testing?

Compatibility testing ensures that an eCommerce website functions correctly across different devices, browsers, and operating systems. It helps provide a consistent and reliable experience for users accessing the platform from various sources.

Can eCommerce Testing Services be customized to specific business needs?

Yes, eCommerce Testing Services can be tailored to meet the specific requirements and goals of each particular business. Custom testing plans ensure that a testing process aligns with the unique peculiarities of a certain eCommerce platform. Thus, if you are going to conquer the international market our testing plan will include localization testing.