Test Automation With Specflow

Implement efficient BDD within your .NET ecosystem while maintaining high quality standards with our SpecFlow test automation services

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 +

SpecFlow is an automation testing framework for .NET apps that can incorporate BDD approaches and improve collaboration between all stakeholders. Unlock the full potential of SpecFlow for your project with our test automation services. Elevate your testing capabilities, increase efficiency, and deliver high-quality software with confidence.

When Do You Need SpecFlow Test Automation Services?

Complex Business Requirements

When your project involves intricate business requirements, the Gherkin syntax, which SpecFlow uses, facilitates clear communication between both technical and non-technical stakeholders, ensuring a shared understanding and efficient collaboration.

Implementation of Behavior-Driven Development (BDD) Practices

If you follow or intend to adopt behavior-driven development practices, SpecFlow provides a framework for writing and executing BDD scenarios. By allowing you to write test cases in natural language, it ensures alignment between business requirements and testing scenarios.

Regulatory Compliance and Traceability

For industries with stringent regulatory requirements, the ability of SpecFlow to create traceable and auditable test cases is invaluable. Ensure compliance with industry standards while maintaining a clear and documented trail of your QA processes.

Continuous Integration and Delivery (CI/CD)

In a world where rapid and reliable software releases are paramount, SpecFlow seamlessly integrates into CI/CD pipelines. Boost your development workflow by automating tests and ensuring the continuous delivery of high-quality software.

Customization and Extensibility

SpecFlow is extensible and enables customization due to various plugins and extensions. If you require a testing solution that can be tailored to your specific needs, SpecFlow offers this flexibility.

Data-Driven Testing

If your testing scenarios involve variations in input data, SpecFlow's capability for data-driven testing enables you to execute tests with different datasets, enhancing the thoroughness of your testing process.

SpecFlow Automation Testing Services

Our expert team of seasoned automation QA engineers is here to guide you through the intricacies of SpecFlow automation testing, ensuring your QA processes are optimized for excellence.

Consulting on Automation Testing with SpecFlow

We provide personalized consultations, helping you understand the benefits and potential challenges associated with SpecFlow. Our aim is to assist you in implementing an efficient and tailored test automation solution.

Crafting Automation Testing Plans

Our team of skilled professionals works closely with you to understand your unique requirements and goals and create a tailored automation testing plan that aligns with your business objectives.

Building SpecFlow Automation Solutions from Scratch

Our experts excel at building scalable, reliable, and maintainable SpecFlow automation solutions from the ground up. Vast experience and a personalized approach are two cornerstones of our top-notch services.

Optimizing Existing SpecFlow Test Automation Solutions

We conduct thorough assessments, identify bottlenecks, and implement improvements to ensure your Specflow automation solutions work in full swing, bringing maximum value.

Integrating Tests into CI/CD Pipelines

We specialize in integrating SpecFlow tests into CI/CD pipelines, automating the testing process at every stage. This ensures rapid feedback, early issue detection, and a streamlined development lifecycle.

Providing Continuous Support and Maintenance

From troubleshooting to updates and enhancements, our team is here to ensure your automation journey remains a success.

Choose Your Cooperation Model

Our flexible approach ensures that you get the most out of our test automation services. Explore the three distinct cooperation models tailored to meet your requirements:

Staff Augmentation

Whether you're seeking extra support at a distinct project stage or need specialized knowledge in a specific testing domain, our SpecFlow can seamlessly blend into your in-house QA team.

Best Option For: Projects with fluctuating workloads or specific skill gaps in existing QA teams.
Quickly adapt to changing project needs by adding or reducing resources.
Pay for the resources only when you need them to complete a particular task.
Take advantage of skill and knowledge exchange between your team and augmented staff.

Get started

Dedicated Team

We can provide you with a fully-equipped, dedicated team of test automation experts that will work as an extension of your in-house team, helping you achieve your goals.

Best Option For: Large-scale projects that need consistent collaboration and specialized expertise.
Direct, real-time communication fosters strong working relationships.
All team members are handpicked based on the specific skills required for your project.
A dedicated team can be easily and quickly scaled up or down based on project demands.

Get started

Outsourcing

Outsourcing involves entrusting the entire test automation process to our expert team. From strategy design and planning to test execution and maintenance, we handle it all, allowing you to focus on core business activities.

Best Option For: Companies looking to streamline operations, reduce time-to-market, and break away from the day-to-day management of QA processes.
Reduce overhead costs associated with hiring, training, and infrastructure.
Accelerate project timelines with a dedicated, experienced team.
Transfer project risks to our team of seasoned professionals.

Get started

Partner With Us: 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

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

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

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

Our Approach to SpecFlow Test Automation

We take a strategic and comprehensive approach to SpecFlow Test Automation, strategically optimizing your software development lifecycle with efficient and reliable QA processes. Rooted in industry best practices and backed by years of expertise, our approach is tailored to ensure the delivery of high-quality software solutions. Here's an in-depth look into our methodology:

Requirements Analysis and Collaboration

We begin by thoroughly studying your project requirements. Our team collaborates closely with your stakeholders to create a comprehensive set of specifications that will serve as the foundation for SpecFlow scenarios.

Clear Scenario Design

As long as SpecFlow supports Gherkin, we use this language to design clear and concise scenarios that define the expected behavior of your software. This human-readable format enhances collaboration between technical and non-technical team members, ensuring a shared understanding of testing objectives.

Implementation of Step Definitions

Test scenarios written in Gherkin are associated with step definitions, and our automated QA engineers implement them in C# or other .NET languages, translating plain-text specifications into executable code that can be smoothly integrated into your continuous integration (CI) pipeline.

Data-Driven Testing

To increase test coverage and identify potential edge cases, we employ data-driven testing strategies. By parameterizing scenarios with different sets of input data, we ensure that your application is thoroughly tested under various conditions, providing you with a robust and resilient product.

Parallel Execution for Efficiency

Recognizing the importance of time efficiency in software development, we implement parallel test execution. This approach enables the simultaneous execution of multiple tests, significantly reducing the overall testing time without compromising on the depth of testing.

Integration with CI/CD Pipelines

Seamless integration of SpecFlow tests into CI/CD pipelines is a crucial aspect of our approach. This ensures that automated tests are run consistently with each code commit, enabling the early detection of defects and promoting a continuous delivery model.

Customized Reporting and Analytics

We understand the significance of insightful reporting in the testing process. Our approach includes the implementation of customized reporting and analytics solutions, providing you with clear and actionable insights into the health of your application and the performance of your tests.

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 expertise and resources allow us to cover the unique needs of various projects, ensuring the delivery of high-quality software solutions that meet both business goals and users’ expectations.

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's client base encompasses a wide range of businesses, including startups, scale-ups, and publicly listed corporations, from all corners of the globe. Our clients span the United States, the European Union, the UK, Canada, the Middle East, and Australia.

Irrespective of your location on our pale blue dot, we can help you achieve your QA goals, no matter how big, complex, or unique they are.

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

Initial Contact

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

Assessment

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

Proof of Concept

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

Trial and evaluation of performance

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

Contract Signing and Full-Scale QA Implementation

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

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 is SpecFlow, and what is its role in test automation?

SpecFlow, a powerful behavior-driven development (BDD) framework tailored for .NET, serves as a bridge between technical and non-technical stakeholders. It enables teams to create and execute tests by expressing requirements in natural language specifications. The core role of SpecFlow is to foster collaboration and ensure seamless communication across the development lifecycle.

Why choose SpecFlow Test Automation Services for BDD practices?

Our SpecFlow test automation services provide a powerful solution for BDD practices. Using Gherkin syntax, we write easily understandable scenarios, fostering collaboration and delivering comprehensive test coverage.

For what types of applications are SpecFlow test automation services suitable?

SpecFlow test automation services are versatile and suitable for testing various applications, including web applications, APIs, and more. SpecFlow's adaptability allows us to tailor BDD scenarios to meet the specific testing needs of different software applications.

Does SpecFlow support cross-browser and cross-platform testing?

SpecFlow itself focuses on defining and executing tests using Gherkin scenarios. Our experts integrate SpecFlow with other tools and frameworks to execute cross-browser and cross-platform testing, ensuring comprehensive test coverage.

Can existing Gherkin-style scenarios be integrated into a SpecFlow test automation solution?

SpecFlow allows for the reuse and extension of Gherkin feature files, making it possible to integrate and maintain test scenarios within a SpecFlow solution.

How does SpecFlow improve collaboration and communication?

SpecFlow promotes collaboration by providing a common language that is understood by both technical and non-technical team members. Our SpecFlow test automation services improve communication, ensuring that all stakeholders have a clear understanding of the testing scenarios.

What reporting features does SpecFlow offer?

When it comes to reporting features, SpecFlow relies on integration with other tools that specialize in test reporting. The most popular choices are Runner, Allure, ExtentReports, ReportPortal, and others.

Does SpecFlow support parallel test execution?

SpecFlow itself does not inherently support parallel test execution. However, our experts implement parallelization strategies using test runners and frameworks that complement SpecFlow, for example, Runner and MSTest. This way, we ensure efficient test execution and reduce testing time.