SDLC Phases

SDLC PhasesSDLC PhasesSDLC Phases

1

Preliminary Analysis or Feasibility Study

This step helps organizations decide whether the project is viable and worth pursuing before detailed planning begins.

2

Planning

This phase defines the project scope, goals, and timelines. Stakeholders identify business requirements, and project feasibility is assessed. Proper resource allocation and risk management strategies are also established to ensure the project is set up for success.

3

System Design

Detailed technical specifications are created during the system design phase. These include system architecture, database design, and technology stack decisions. The blueprint of the solution is laid out to guide development and integration.

4

Development

In this phase, developers begin coding based on the design documents. Frontend, backend, and database components are built. The goal is to create functional software that meets all specifications set during the planning and design phases.

5

Testing

At Osambit, the Development and Testing phases often overlap, as we follow Test-Driven Development (TDD) practices. Our code is written with tests already in place, adhering to the principles of the testing pyramid to ensure a well-balanced approach to unit, integration, and end-to-end testing. In this phase, the software undergoes comprehensive testing to ensure it meets all performance, security, and quality standards.

5

Testing

We conduct performance testing to evaluate system speed and efficiency, volume testing to assess how the system handles large datasets, and stress testing to ensure stability under high-load conditions. Additionally, security testing is performed to identify vulnerabilities and safeguard against threats, while Static Code Analysis helps detect code quality issues early, ensuring maintainable and reliable software before deployment.

6

Deployment

Once the software passes testing, it is deployed to the production environment. This phase involves configuring the system for end-users, training teams, and monitoring initial performance to ensure smooth operation.

7

Maintenance

After deployment, the system enters the maintenance phase. Regular updates, bug fixes, and performance improvements are made to ensure the software remains functional and efficient over time.

What is SDLC Methodology?

An SDLC methodology is a set of practices, principles, and processes that guide how the SDLC phases are executed and managed to ensure successful software delivery.
Popular SDLC Methodologies:

Scrum

Scrum

Scrum is one of the most popular Agile methodologies, focused on delivering work in small, iterative cycles called sprints. Each sprint typically lasts 2-4 weeks, during which teams work on specific tasks and deliver potentially shippable software at the end of each sprint.

Scrum involves defined roles, such as Scrum Master and Product Owner, and events like daily stand-ups, sprint planning, sprint reviews, and retrospectives. It promotes regular feedback from stakeholders to ensure alignment with business goals.

Scrum
Pros

Scrum provides high flexibility, making it easier to adapt to changes in requirements or priorities. The short feedback cycles allow teams to make quick adjustments, ensuring the product evolves based on real-time feedback. It fosters close collaboration and transparency, improving communication between the development team and stakeholders.

Cons

Scrum requires significant discipline and communication within the team. Without a dedicated and skilled Scrum Master, it can become difficult to keep the team aligned. In larger teams, coordination can be challenging, and without strong leadership, Scrum projects can experience “sprint fatigue” or loss of focus.

Kanban

Kanban

Kanban

Kanban is a visual-based workflow management methodology that originated from lean manufacturing. It focuses on continuous delivery by visualizing tasks on a board, typically divided into columns such as “To Do,” “In Progress,” and “Done.”

Teams pull work items based on capacity rather than being assigned a specific amount of work upfront. The key principles of Kanban are to limit work in progress (WIP), promote continuous delivery, and improve flow efficiency over time.

Pros

Kanban is flexible and simple to implement. It allows teams to continuously improve their processes by identifying bottlenecks and optimizing workflows. The visual nature of Kanban makes it easy to track progress and manage workloads, helping teams avoid overburdening themselves with too many tasks at once. It’s also a great fit for teams working on support or maintenance projects where tasks arrive unpredictably.

Cons

Since there are no defined timeframes or sprints, projects using Kanban may face delays in delivering larger, cohesive features. It can be less structured than Scrum, making it harder to predict timelines and set firm delivery dates. Teams new to Kanban may also struggle with managing WIP limits and keeping tasks flowing smoothly.

Extreme Programming (XP)

Extreme Programming (XP)

Extreme Programming (XP) is an Agile methodology that emphasizes technical excellence through practices like pair programming, test-driven development (TDD), continuous integration (CI), and frequent releases.

XP encourages a high level of collaboration between developers and customers, ensuring the development team is always aligned with business needs. Frequent iterations and releases provide continuous feedback, allowing teams to adapt quickly to new requirements.

Extreme Programming (XP)
Pros

XP places a heavy focus on code quality, using practices such as code reviews, unit testing, and refactoring to keep the codebase clean and maintainable. Continuous customer feedback ensures that the product meets user needs. XP also reduces the risk of bugs and technical debt by encouraging the use of TDD and continuous integration. Pair programming improves code quality and facilitates knowledge sharing within the team.

Cons

XP demands a high level of discipline, and its practices (such as pair programming) may require a cultural shift within teams. It can also be more resource-intensive in the short term due to the time commitment required for practices like pair programming and continuous testing. XP’s reliance on frequent customer feedback may be difficult for clients who prefer less involvement during development.

DevOps

DevOps

DevOps

DevOps is a methodology that promotes collaboration between development (Dev) and operations (Ops) teams to automate the process of software delivery and infrastructure changes. DevOps practices include continuous integration, continuous delivery (CI/CD), infrastructure as code (IaC), automated testing, and real-time monitoring.

DevOps aims to improve the speed, quality, and reliability of software delivery by creating a culture of shared responsibility between developers and operations.

Pros

DevOps enhances collaboration across teams, breaking down silos between developers, operations, and other departments. It allows for faster, more frequent releases, improving time-to-market for new features. Automation of tasks like deployment, testing, and monitoring reduces human error, enhances consistency, and increases system reliability. The real-time monitoring aspect ensures quick detection and resolution of issues in production environments.

Cons

Adopting DevOps requires significant changes in organizational culture and processes, which may be challenging for traditional teams. Setting up automated pipelines and monitoring systems involves upfront investment in time and resources. Teams without the necessary expertise may face a steep learning curve, especially with tools related to CI/CD, infrastructure as code, and cloud automation.

Lean

Lean

Lean software development is inspired by Lean manufacturing principles. The primary goal of Lean is to maximize efficiency by eliminating waste in the development process.

Lean focuses on delivering value to customers while reducing activities that do not directly contribute to that value. Key Lean principles include minimizing waste, delivering fast, empowering teams, and continuous learning.

Lean
Pros

Lean focuses on eliminating inefficiencies, such as unnecessary features or documentation, resulting in faster delivery and lower costs. It emphasizes continuous learning, which helps teams improve over time and adapt to changing market conditions. By empowering teams to make decisions, Lean promotes autonomy and creativity, fostering innovation.

Cons

Lean requires a high level of discipline to identify and remove waste consistently. Without careful planning, focusing too much on speed may compromise the quality of the product. Lean’s emphasis on team empowerment can be challenging for organizations with rigid hierarchical structures, as it requires a shift toward more decentralized decision-making.

Feature-Driven Development (FDD)

Feature-Driven Development (FDD)

Feature-Driven Development (FDD)

Feature-Driven Development (FDD) is an Agile methodology that focuses on developing software features in short, iterative cycles.

The development process begins with a model of the project and is broken down into a series of features, which are designed, developed, and tested individually. FDD focuses on delivering features that add value to the product while maintaining clear progress tracking.

Pros

FDD provides a clear structure for developing and delivering features, allowing for regular progress tracking and accountability. It is especially suited for large-scale projects where breaking down the product into features makes it easier to manage. FDD also emphasizes design and planning, which helps reduce the risk of rework or delays later in the project.

Cons

FDD may not be as flexible as other Agile methodologies like Scrum. It requires careful upfront planning to define features, which can be time-consuming. Additionally, FDD’s focus on individual features may lead to a lack of focus on the overall product, requiring additional coordination to ensure consistency.

Rapid Application Development

Rapid Application Development

RAD emphasizes rapid prototyping and user feedback, with the goal of delivering functional software quickly.

The methodology focuses on building a working prototype early, gathering feedback from users, and iterating to improve the product. RAD involves close collaboration between developers and customers throughout the development cycle.

Rapid Application Development
Pros

RAD allows for quick delivery of functional software, enabling businesses to test concepts and gather user feedback early. The iterative approach makes it easy to adapt to changes, reducing the risk of building features that don’t align with customer needs. RAD is especially suited for projects with well-defined objectives but evolving requirements.

Cons

RAD’s focus on speed can sometimes compromise the quality or stability of the final product, especially in large-scale projects. It requires close collaboration and involvement from users, which may be difficult to maintain over time. Additionally, without careful planning, RAD projects may struggle with scalability and long-term maintenance.