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AI & ML Development

About this Services

Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance. Perform linear and logistic regressions in Python.

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1. Testing Solutions

1.1 Functional Testing

  • Ensures that the application functions as expected according to the requirements and specifications.
  • 1.2 Performance Testing

  • Evaluates the speed, responsiveness, and stability of an application under various loads.
  • 1.3 Security Testing

  • Identifies vulnerabilities and ensures the protection of data against unauthorized access.
  • 1.4 Automation Testing

  • Uses automated scripts and tools to perform repetitive tasks to ensure accuracy and save time.
  • 1.5 Regression Testing

  • Ensures that recent code changes have not adversely affected the existing functionality.
  • 1.6 Compatibility Testing

  • Verifies that the application works as expected across different browsers, devices, operating systems, and network environments.
  • 1.7 Usability Testing

  • Evaluates the ease of use and user-friendliness of the application for end-users.
  • 1.8 Mobile Testing

  • Focuses on testing mobile applications across various devices, OS versions, and networks.
  • 1.9 API Testing

  • Ensures that the APIs used in an application work seamlessly and deliver accurate results.
  • 1.10 Cloud Testing

  • Verifies cloud-based applications for scalability, security, and performance across different cloud environments.

2. Verification & Validation Services

2.1 Requirements Validation

  • Ensures that all project requirements are clearly defined, correct, and meet customer expectations.
  • 2.2 Design Verification

  • Confirms that the design phase meets the requirements and can support functionality, scalability, and security.
  • 2.3 Code Review & Static Analysis

  • Systematic examination of source code to ensure it follows coding standards and is free of errors or vulnerabilities.
  • 2.4 Functional Validation

  • Testing to ensure that the system functions according to the specified requirements.
  • 2.5 User Acceptance Testing (UAT)

  • Final validation to ensure the product is ready for release, conducted by end-users or stakeholders.
  • 2.6 Hardware-in-the-Loop (HIL) Testing

  • Testing real-time embedded systems using simulated environments to verify correct system behavior.

3. Test Life Cycle

3.1 Requirement Analysis

  • Understand the testing requirements and define test objectives and scope.
  • 3.2 Test Planning

  • Create a detailed test plan outlining test strategy, resources, timelines, and deliverables.
  • 3.3 Test Design

  • Design test cases and test scripts based on functional and non-functional requirements.
  • 3.4 Test Environment Setup

  • Set up the required hardware, software, networks, and tools needed for testing.
  • 3.5 Test Execution

  • Execute test cases, log defects, and track progress through various cycles of testing.
  • 3.6 Test Reporting

  • Generate detailed reports on test results, defects, and system performance to inform stakeholders.
  • 3.7 Test Closure

  • After validation, the test cycle is closed, and test metrics are analyzed for further improvements.

4. Different Types of Testing

4.1 Manual Testing

  • Testing carried out by human testers without the use of automation tools to find defects in software functionality.
  • 4.2 Automation Testing

  • Use of automated tools and scripts to perform repetitive tasks like regression and load testing.
  • 4.3 Unit Testing

  • Testing individual components or units of a software application to verify that each part functions correctly.
  • 4.4 Integration Testing

  • Testing how different modules or components of the system interact with each other.
  • 4.5 System Testing

  • End-to-end testing of the complete application, including all integrated modules, to ensure it meets the overall system requirements.
  • 4.6 Acceptance Testing

  • Ensures that the application meets the required standards and functionality for delivery.
  • 4.7 Load Testing

  • Evaluates the application's behavior under expected or peak load conditions.
  • 4.8 Stress Testing

  • Tests the system's robustness and ability to handle extreme conditions beyond normal operational capacity.
  • 4.9 Penetration Testing

  • Simulates cyber-attacks to identify vulnerabilities and ensure that the application is secure from potential threats.

5. Domain-Based Testing

5.1 IoT Testing

  • Validation of device functionality, network connectivity, data integrity, and performance across various IoT platforms and hardware.
  • 5.2 Embedded Testing

  • Verification of software and hardware integration in embedded systems, including real-time performance and memory efficiency.
  • 5.3 Semiconductor Testing

  • Focuses on validating the functionality, performance, and reliability of semiconductor chips and ICs used in various devices.
  • 5.4 Industry-Specific Testing

  • Custom testing solutions for industries like automotive, aerospace, healthcare, manufacturing, and consumer electronics.
  • 5.5 Web Application Testing

  • Verifies that web applications perform optimally across browsers, devices, and environments.
  • 5.6 Cloud Testing

  • Testing cloud-hosted applications for scalability, performance, data integrity, and security in different cloud environments.
  • 5.7 Android & iOS Application Testing

  • Testing mobile applications for functionality, compatibility, and performance on Android and iOS platforms.
  • 5.8 Security Testing

  • Includes vulnerability scanning, penetration testing, risk assessment, and authentication testing to secure systems and data.

6. Automation Testing

6.1 Selenium

  • A widely used open-source tool for automating tests on web applications across different browsers and platforms.
  • 6.2 JUnit

  • A unit testing framework for Java applications, facilitating regression testing and validation of software functionality.
  • 6.3 TestNG

  • A testing framework for Java that supports testing annotations, parallel execution, and integration with automation tools like Selenium.
  • 6.4 Appium

  • An open-source tool for automating native, mobile web, and hybrid applications on Android and iOS platforms.
  • 6.5 Cucumber

  • A tool for Behavior-Driven Development (BDD) that allows writing tests in a human-readable format for better collaboration.
  • 6.6 Katalon Studio

  • A powerful test automation solution for web, mobile, API, and desktop applications, with easy setup and reporting capabilities.

7. Testing Techniques

7.1 Black Box Testing

  • Testing without knowledge of the internal code structure, focusing on inputs and expected outputs.
  • 7.2 White Box Testing

  • Testing based on knowledge of the internal logic of the application, focusing on code coverage and internal structures.
  • 7.3 Grey Box Testing

  • Combines both black-box and white-box testing approaches, testing the application with limited knowledge of the internal workings.
  • 7.4 Boundary Value Analysis

  • Focuses on testing the values at the boundaries between partitions to uncover edge cases and potential defects.
  • 7.5 Equivalence Partitioning

  • Divides input data into equivalent partitions and tests one value from each partition, reducing the number of test cases.
  • 7.6 Exploratory Testing

  • Unscripted, informal testing performed by testers to explore the application and find defects through experience and intuition.

8. Testing Tools and Software

8.1 Selenium

  • A tool for automating web browsers, supporting multiple programming languages and platforms.
  • 8.2 JMeter

  • A performance and load testing tool for web applications and other services, used for measuring system behavior under heavy load.
  • 8.3 Postman

  • A tool used for API testing to ensure that web services work as expected by validating response data and performance.
  • 8.4 Jenkins

  • A continuous integration tool used to automate testing processes and ensure that code changes are validated through automated pipelines.
  • 8.5 LoadRunner

  • A tool for testing performance, enabling testers to simulate user load and identify bottlenecks in the system.
  • 8.6 QTest

  • A test management tool that supports various types of testing, including manual, automation, and exploratory testing, with comprehensive reporting.
  • 8.7 SoapUI

  • A tool for functional and performance testing of web services (REST and SOAP APIs), providing a comprehensive testing platform.

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Application Areas

Manufacturing
Healthcare
Automobile
Banking
Real Estate
Logistics

Technologies That We Use

  • JavaScript
  • Python
  • Java
  • C/CPP
  • PHP
  • Swift
  • C# (C- Sharp)
  • Ruby
  • SQL
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