Software Development

About Us

TEBBS Development Process (Iterative Approach)

We follow an iterative development process for efficiency and flexibility.

Ensuring adaptability and incremental improvements in every phase.

Each phase incorporates feedback loops and refinements to align with business needs.

Discovery Phase – Understanding the Client’s Needs

Stakeholder Engagement

Engage with stakeholders to understand business objectives and challenges.

Market Research

Conduct market research, competitor analysis, and feasibility studies.

Goal Definition

Define clear project goals, scope, and high-level requirements.

Planning & Requirements Gathering

Requirement Definition

Business analysts and consultants define detailed functional and non-functional requirements.

Iterative Delivery Planning

Planning for iterative delivery with quick feedback cycles and continuous refinement.

Product Backlog Creation

Product backlog creation and prioritization of features for incremental development.

Flexible Roadmap

Ensuring flexibility in the roadmap to accommodate evolving business priorities.

Designing the Blueprint (Solution Design & Sprint Planning)

Architecture Design

System blueprints, workflows, and wireframes are designed.

Technology Stack Selection

Selection from Java, .NET, Python, JavaScript, TypeScript, React, Angular, Vue.js, AI, Cloud (AWS, Azure, Google Cloud), and Database Solutions (MySQL, PostgreSQL, MongoDB).

Security and Scalability

Security and scalability are considered to future-proof the solution.

Iterative Design

Regular reviews to iterate on designs based on stakeholder feedback.

Development Phase (Building the Solution)

Full-stack Development

Full-stack development covering frontend, backend, and database integration.

Incremental Coding

Incremental coding and continuous integration for faster feature delivery.

AI-driven Process Automation

AI-driven process automation, chatbot development, and intelligent AI agents.

Development Tools

Docker, Kubernetes, Jenkins, Git, GitHub, GitLab, Bitbucket.

Regular Reviews

Regular sprint reviews, retrospectives, and continuous feedback to enhance functionality.

Quality Assurance & Testing

Comprehensive Testing

Manual and automated testing to ensure performance, security, and usability.

Testing Types

Regression, unit, integration, and system testing throughout the development cycle.

Automated Testing Tools

Selenium, JMeter, TestNG, Postman, Cypress, Appium, Cucumber, Jest, Mocha, Chai.

CI/CD Integration

Incorporating automated testing in CI/CD pipelines for continuous improvement.

Deployment & Go-Live

DevOps-driven Deployment

Seamless integration between cloud and on-premise infrastructure through automated DevOps pipelines

System Verification

Comprehensive system verification and performance monitoring before production release

Implementation Tools

Deployment using industry-standard tools like Terraform, Ansible, Chef, and Puppet

Client Training

Thorough client training programs to ensure successful system adoption

Continuous Deployment

Iterative release cycles for smooth transition and minimal disruption

Post-Deployment Support & Continuous Improvement

Performance Monitoring

Monitoring software performance and addressing client feedback.

Feature Enhancements

Feature enhancements, updates, and bug fixes to optimize functionality.

AI-driven Analytics

AI-driven analytics for predictive maintenance and improvements.

Monitoring Tools

Performance monitoring tools: Prometheus, Grafana, New Relic, Splunk.

Backlog Grooming

Regular backlog grooming for new features and improvements based on evolving needs.