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QA: Automated/ Manual Services

To deliver against the highest standards in software quality, we integrate the latest in AI, Test Automation, and Security advances to detect issues early, improve test quality coverage, and deliver flawless user experiences.
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Improved
Defect Detection

Mean Time To Detect (MTTD)

Customer Satisfaction

Key Features

Agile Driven
Approach

Participation in Agile/SAFe methodologies like sprint planning, stand-ups, and retrospectives so that QA teams stay aligned with development goals and anticipate changes early.​

Advanced
Test Automation

Develop and deploy sophisticated test automation frameworks and tools to facilitate continuous integration continuous delivery (CI/CD), and rapidly identify defects while maintaining high release velocity.​

Continuous Testing and Feedback

We emphasize continuous testing across the development lifecycle with standardized test cases, automated regression, CI/CD pipeline integration, and real-time feedback ensuring built-in quality from inception.

Human Centric
Design (HCD) in QA

Continue to create and leverage automated and AI testing tools that provide greater test coverage and interaction between users and developers to deliver the most seamless and naturally engaging end-user experiences possible.

Why Previse?

Quality Assurance (QA) is a critical aspect of any IT project, and Previse’s iterative QA management services ensure that the final deliverables meet the highest standards of quality, including ISO 25010 and CMMI standards where required. Our approach is to bring the right mix of human ingenuity and advanced automated testing capabilities to every project with the ultimate goals of reducing time to market and detecting and resolving defects early and often in the development lifecycle. Our QA teams have significant collective experience in implementing QA best practices throughout the CI/CD pipeline effort. We employ proven manual testing techniques where complex and subjective testing is required while heavily investing in and leveraging automated AI and ML based testing techniques to optimize for speed, coverage, and when highly iterative improvements are required.

Case Studies

NGO

Handled end-to-end manual testing for IJM

Legacy IJM Direct system had limited visibility and severe usability issues, causing partners to struggle with case creation, victim submissions, and file management.

Salesforce development

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Insurance

Carried out manual and automated validation of application

Reliable testing was required for Salesforce and EIS insurance systems, but challenges arose with accuracy, compliance, usability, and consistency across products.

EIS Insurance core

EIS

Broker Portal

Python

Employee Portal

Employer Portal

Selenium

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Insurance

Carried out manual and automated validation of application

Renaissance Insurance, using EIS, required reliable testing of dental and non-dental policies to ensure accurate, tailored client solutions nationwide.

EIS

Java 

Selenium

IntelliJ

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Education

Carried out manual validation of application

Executed QA for educational platform: manual test scripts, smoke testing, JIRA defect tracking, enhancement reviews, impact analysis, reporting, and client coordination.

Java 

SQL

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Marketing

Automation E2E Testing

Client lacked stable environments and QA visibility. Implemented Previse environment, TestRail segregation, UI automation, data validation, deployment ownership, and optimized test coverage.

TestRail

  Jira

GitHub

Java 

Selenium

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Telecommunication

Automation E2E Testing

Replaced manual regression with Java-Selenium Hybrid framework, automating Port Control flows, integrated Jenkins, Azure DevOps, GitHub, Jira for CI/CD readiness.

  Jira

GitHub

Java 

Selenium

TestNG

Maven

Jenkins

Azure DevOps

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