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Module testing focuses on individual subprograms, subroutines, classes and procedures, known as smaller building blocks. It is a type of white box testing technique.

Our objective in module testing is to find defects and errors in the software application at an early stage in order to manage the complexity of the entire system and improve the quality of the whole software.

Module testing benefits:

• Facilitates faster delivery
• Ensures more reliable systems
• Reduces development cycle time
• Increases productivity
• Reduces the project costs

Regression testing is conducted to ensure that the changes made in code or that the addition of new functionalities have not negatively impacted the existing functionalities of the product. Therefore we re-execute the previously executed tests in order to verify that no new bugs were introduced in the process of fixing the old ones or during writing the new code and creating the new functionalities.

Regression testing is usually performed on a scheduled basis and is generally automated for increased productivity.

Regression testing benefits:

• Verifies that fixed bugs do not reoccur
• Ensures the application remains intact and integrated
• Reduces unnecessary expenses
• Detects bugs before market release
• Promotes the improvement in product’s overall quality

Acceptance testing determines if the software application meets the business requirements specifications and satisfies the user’s needs and the required criteria for delivery to the end-users.

Acceptance testing is performed in the final phase of testing after functional, integration, and system testing are performed. It is usually composed of a subset of tests from the System Testing Suite.

We validate the end-to-end business flow against acceptance criteria defined on the basis of the following attributes:

• Functional correctness and completeness
• Usability
• Performance
• Installability and Upgradability
• Scalability

Sanity testing is performed by the quality assurance team upon receiving the new build and investigates the basic functionality of the system to ascertain that the bugs have been fixed and no further issues were introduced due to these changes.

Smoke testing is a software testing technique performed to verify that the critical functionalities of the software are working as expected.

Sanity testing is a surface level check to ensure that the newly deployed changes work as expected while smoke testing covers the most important functionalities or components of the system.

Sanity and smoke testing aims to:

• Ensure the build is ready for further testing
• Facilitate fixing the new bugs before regression testing
• Improve the effectiveness of the QA process
• Identify bugs at an early stage
• Save time and money

System testing is a black-box testing technique run on a complete integrated software application in order to ensure that the product complies with the requirements.

Using this testing technique we examine both functional and non-functional requirements, based on a test plan in order to discover issues in complex scenarios and bestow confidence in the final product.

System testing:

• Identifies important defects before User Acceptance Test (UAT)
• Covers a complete end-to-end software testing
• Tests both system software architecture and business requirements
• Ensures all the required software functionalities are in place and work as expected
• Tests that changes made to one part of the application haven’t created a bug somewhere else

Integration testing is the level of software testing where units or individual components are tested in a group with the focus on exposing the defects in the interaction between the integrated modules.

We use multiple approaches in integration testing: Big Bang, Top Down, Bottom Up, Hybrid to ensure the units are incorporated with each other without issues.

We perform Integration testing to ensure that:

• Modules work as expected
• There are no interactions and integrations errors
• We increase the testing coverage
• We discover integration bugs at an early stage which makes them easier to solve
• The software application is reliable

Load testing is a software testing technique in which the system’s behavior is examined under an increasing load, starting from normal to extreme conditions.

We perform load testing to discover the maximum load an application can withstand and whether modifications are required to improve the system's performance.

Load testing goals:

• Identify the system's bottlenecks
• Provide confidence and reliability in the application’s performance
• Improve scalability
• Identify the inefficient code
• Be cost-effective

Usability testing evaluates the ease with which a software application can be utilised; it measures how user-friendly the system is.

The purpose of usability testing is to ensure that the design is intuitive and easy to use.

During usability testing our target is to test the product with representative users by observing and recording the interactions with the system while focussing on:

• Learnability
• Efficiency
• Memorability
• Errors
• Satisfaction

Volume testing validates the system’s performance while processing a large amount of data.

We perform volume testing in order to check the system’s performance and integrity against high data volume.

We use volume testing to verify that the software application does not crash under volume, that no data is lost or to check the data integrity and the system’s response time.

Volume testing ensures:

• The customers have a positive experience with the application
• Reduces the overall failure risk of the system
• The application doesn’t crush under high volume
• Data integrity
• Early identification of the bottlenecks and application weaknesses
• Low maintenance cost

Compatibility testing verifies whether the software application behaviour is consistent on different hardware, operating systems, browsers and mobile devices.

Depending on the software application sector, we check browser compatibility, hardware, software, network, versions, operating systems, mobile devices and select the necessary platforms on a solid analytical basis.

Compatibility testing:

• Detects and rectifies issues early
• Ensures the application meets the requirements and users expectation across platforms
• Reveals the system stability

Scalability testing measures how the system responds to increased and decreased workload.

With scalability testing we verify that the software application has a bidirectional performance, it scales up and down, to ensure the user experience consistency despite the number of simultaneous users.

Our testing approach focuses on the following attributes:

• Memory usage
• CPU usage
• Network usage
• Response time
• Number of requests processed over a unit of time

Performance testing examines systems stability, reliability, scalability, speed, response time and resource usage under various workloads, to ensure it will meet the service levels expected in the production environments.

We identify and eliminate long load time, poor response time, poor scalability, performance bottlenecks, insufficient hardware resources, issues that can generate loss of revenue or customers and negative business impact.

Performance testing:

• Ensures more traffic and trust from customers
• Gives confidence in the system
• Reduces the system’s costly downtime
• Improves optimization
• Offers reliable results