In This Blog
- What Is SDLC?
- Why Is SDLC Important?
- Stage 1: Requirements & Analysis
- Stage 2: Project Planning
- Stage 3: Design
- Stage 4: Coding & Implementation
- Stage 5: Testing
- Stage 6: Deployment
- Stage 7: Maintenance
- SDLC vs. Agile Development
- How Emergent Software Can Help
- Final Thoughts
- Frequently Asked Questions
TL;DR
- SDLC is a seven-stage framework for building software: Requirements & Analysis, Planning, Design, Coding & Implementation, Testing, Deployment, and Maintenance.
- SDLC provides structure and predictability through sequential phases, making it useful for projects with well-defined requirements and regulatory compliance needs.
- While SDLC offers benefits like clear visibility, risk mitigation, and quality control, it lacks the flexibility and speed of modern Agile methodologies.
- At Emergent Software, we typically recommend Agile approaches that enable faster iteration and better responsiveness to changing business needs.
- Understanding SDLC remains valuable because many organizations still use it, and its principles inform modern development practices including Agile and DevOps.
In our first installment in this series, we discussed how our unique approach to development blends together the best of agile project management to address the uncertainty that each new custom software development project brings us. Now, how does our team exactly take your idea and turn it into reality through custom software development? We tend to prioritize feature-focused iterative development, as it gets you closer to your end project faster and with much less risk.
What Is SDLC?
The Software Development Life Cycle (SDLC) is a standardized process that IT, systems, and software engineering industries use to build and test software products. It's a step-by-step development process designed to create high-quality software that meets or exceeds customer expectations.
SDLC is a set of principles that have inspired multiple models used in modern development. At Emergent Software, we leverage principles from Agile and DevOps models to deliver high-quality software that enables businesses to capture market opportunities. While SDLC is not our preferred framework, we're familiar with it and have inherited several projects using this methodology.
In many instances, SDLC is a fine starting point but lacks some of the core benefits of modern Agile software development. We'll explain both what SDLC offers and where it falls short compared to more modern approaches.
At Emergent Software, we leverage principals from the Agile and DevOps models to help you deliver high quality software that enables your business to capture market opportunities. Learn more about What to Expect When You Work with Us and how we take you From Idea to Value.
Why Is SDLC Important?
As the volume of enterprise data and automation of business workflows continue to increase at a rapid pace, software development will only continue to grow. Businesses and developers must find efficient ways to minimize errors and leverage custom software solutions.
The seven stages of SDLC give developers the opportunity to produce notable and customized software products, helping their organizations sharpen their competitive edge. Here are the key benefits SDLC can bring:
- Better visibility of project plans and timelines
- Improved control and monitoring throughout development
- Project risk mitigation and error reduction through structured phases
- Clear method for tracking project progress
- Timely delivery of high-quality software to clients
These benefits matter most for projects with well-defined requirements, regulatory compliance needs, or scenarios where predictability is more important than speed.
Stage 1: Requirements & Analysis
This is the first and fundamental stage of SDLC. Business analysts gather requirements from customers, target markets, and industry experts to create a Business Specification (BS) document. Other organizations may refer to this as a Customer Requirement Specification (CRS).
The intent of this document is to outline current pain points that developers should strive to eliminate through software. It can be a useful resource to help the team discover innovative methods to change and improve their products.
This stage is critical because errors or omissions here cascade through the entire development process. If requirements are incomplete or misunderstood at this stage, the final product won't meet user needs regardless of how well the subsequent stages are executed.
The document is shared with the development team, which then uses it in the next stage.
Stage 2: Project Planning
Based on the Business Specification document, senior development team members bring together the input of stakeholders and experts to plan out a software development project. The project may be focused on building a new software product or improving a current one.
During this initial development phase, team members work together to discuss and plan out:
- Intentions behind the project
- Requirements of the project
- Anticipated issues
- Opportunities
- Risks
All of these elements are recorded in a Software Requirement Specification (SRS) document. By outlining these points, team members can ensure they're focusing on the right priorities.
This stage also typically includes resource allocation, timeline estimates, and budget planning. The more thoroughly this stage is completed, the smoother subsequent stages tend to go — though this upfront investment of time can delay the start of actual development.
Stage 3: Design
This stage focuses on designing the product. It involves product architects and developers who will ideate and present a design of the product. They may present more than one design approach, and these ideas are documented in a Design Document Specification (DDS).
The DDS will be a pivotal part of the production process, as developers will lean on it as their primary resource to build their code. Developers must also refer back to the SRS document to ensure the product's design safeguards the team from the anticipated issues and risks noted earlier.
The design phase addresses system architecture, database schema, user interface design, and integration points with other systems. Getting design right before coding begins is a core principle of SDLC — it reduces rework but requires confidence that requirements won't change significantly.
Stage 4: Coding & Implementation
In Stage 4, production commences and the product is built. The programming code is developed per the DDS, so the product can be created with the utmost efficiency. Developers use various tools and programming languages to build the code, selected based on the demands of the software being developed.
Some of the programming tools may include:
- Compilers
- Interpreters
- Debuggers
- Integrated Development Environments (IDEs)
The programming languages may include:
- C#/.NET
- Java
- Python
- JavaScript/TypeScript
- PHP
During this stage, developers write code according to the design specifications. In traditional SDLC, this stage happens sequentially after design is complete, which means any design flaws discovered during coding require going back to the design phase.
Stage 5: Testing
Stage 5 is where the development team conducts software testing to find errors and deficiencies. Does the software produce the right results? Does it fulfill the requirements and objectives initially outlined in the SDLC? These are examples of key questions asked during the testing phase.
Teams may test the software manually or use automated testing tools. Whichever route they pursue, the testing process should ensure each unit of the software works well. After undergoing testing, the software should enter a QA process to validate the product's quality.
Testing in SDLC typically happens after all development is complete. This means bugs and issues are discovered late in the process, when they're most expensive to fix. Modern approaches like Agile integrate testing throughout development to catch issues earlier.
Stage 6: Deployment
Once the software application has undergone testing and QA, it is delivered to the customer. This stage usually involves deployment engineers who make software available to customers. They may install the software at a company and help individual customers run the application on their computers.
Deployment strategies vary based on the software type and organizational needs. Some teams deploy to a staging environment first for final validation. Others use phased rollouts, releasing to a subset of users before full deployment.
To help mitigate the amount of maintenance that needs to be done, teams may choose to first release the product to a smaller population of customers. This can offer insight into how the product is performing and development teams can make any last adjustments prior to its final release.
Stage 7: Maintenance
Because a software product's usage varies from customer to customer — each person has different needs — there may be unique issues that come up and need to be addressed. These customer issues are solved in this maintenance stage.
Maintenance includes bug fixes, performance improvements, security updates, and sometimes new feature development. In traditional SDLC, maintenance is treated as a separate phase that happens after deployment. In reality, software is never truly "done" — it requires ongoing attention and evolution.
This stage can consume significant resources over the software's lifetime. Poorly designed or implemented software in earlier stages creates higher maintenance costs later. This is why design quality and code quality in earlier stages matter so much.
SDLC vs. Agile Development
SDLC encompasses various methodologies, including both Waterfall and Agile. Traditional SDLC follows a linear sequence of phases, whereas Agile methodologies like Scrum emphasize iterative development with flexible, customer-centric approaches.
At Emergent Software, we typically recommend Agile approaches because they offer several advantages:
- Faster time to value — Working software is delivered in weeks, not months
- Better adaptability — Requirements can evolve based on user feedback and changing business needs
- Reduced risk — Issues are discovered and addressed continuously rather than all at once during testing
- Improved collaboration — Stakeholders stay engaged throughout development rather than just at the beginning and end
That said, SDLC still has its place. Projects with fixed requirements, strict regulatory compliance, or contracts that demand detailed upfront specifications may benefit from SDLC's structure. Understanding both approaches allows you to choose the right one for your specific situation.
How Emergent Software Can Help
We specialize in custom software development using modern methodologies that deliver business value quickly and adapt to changing needs. While we're familiar with SDLC and have successfully inherited and managed projects using this approach, we typically recommend Agile development practices that enable faster iteration, continuous feedback, and better alignment with evolving business goals. Whether you're starting a new software project, modernizing legacy systems, or looking for a partner to take over existing development, we bring the experience and expertise to deliver high-quality software that enables your business to capture market opportunities.
If this sounds familiar, we can help.
Final Thoughts
Understanding the Software Development Life Cycle remains valuable even if you don't use it as your primary development methodology. The seven stages — Requirements & Analysis, Planning, Design, Coding & Implementation, Testing, Deployment, and Maintenance — represent fundamental activities that happen in every software project, regardless of methodology.
The key question isn't whether these activities should happen, but when and how. Traditional SDLC does them sequentially: complete all requirements before any design, complete all design before any coding, complete all coding before any testing. This provides predictability and clear milestones but lacks flexibility.
Modern Agile approaches cycle through these activities repeatedly in short iterations. Requirements, design, coding, and testing happen continuously in small increments. This provides adaptability and faster feedback but requires more ongoing involvement from stakeholders.
The right choice depends on your specific context. Projects with well-understood, stable requirements and regulatory constraints may benefit from SDLC's structure. Projects where requirements are expected to evolve or where speed to market is critical typically benefit from Agile approaches.
Many organizations find themselves with legacy systems built using SDLC that need to be maintained or modernized. Understanding SDLC helps you work effectively with these systems while potentially transitioning to more modern development practices for new work.
If you're evaluating development methodologies for your software projects or looking for a partner who can work effectively with both traditional and modern approaches, Emergent Software is here to help. Reach out — we'd love to learn more about your goals.
Frequently Asked Questions
What are the 7 phases of SDLC?
The seven stages of the Software Development Life Cycle are Requirements & Analysis, Project Planning, Design, Coding & Implementation, Testing, Deployment, and Maintenance. Each phase involves specific activities and deliverables to ensure a systematic approach to software development. Requirements & Analysis identifies what the software should do. Project Planning defines how the project will be executed. Design creates the blueprint for the solution. Coding & Implementation builds the actual software. Testing validates that it works correctly. Deployment makes it available to users. Maintenance addresses issues and improvements after release. While these phases are typically executed sequentially in traditional SDLC, modern methodologies like Agile cycle through them iteratively.
Is SDLC Waterfall or Agile?
SDLC is a framework that can be implemented using different methodologies, including both Waterfall and Agile. Traditional SDLC typically follows a Waterfall approach where phases are executed sequentially — you complete requirements before starting design, complete design before starting development, and so on. This provides clear milestones and predictability but lacks flexibility when requirements change. Agile methodologies like Scrum and Kanban also follow SDLC principles but execute the phases iteratively in short cycles called sprints. Each sprint includes requirements gathering, design, development, testing, and potentially deployment for a small set of features. This provides adaptability and faster feedback. The core activities are the same; the difference is in the execution approach.
Why is planning important in SDLC?
Planning in SDLC is crucial because it defines project goals, requirements, constraints, and timelines before significant resources are committed to development. Good planning helps ensure development teams understand the scope of work and can allocate resources effectively. It identifies potential risks early when they're easier and cheaper to address. Planning creates a shared understanding among stakeholders about what will be built and when it will be delivered. However, planning has diminishing returns — too much upfront planning on projects with uncertain requirements can waste time and create false confidence. The key is planning appropriately for your project's level of uncertainty. Projects with well-understood requirements benefit from thorough upfront planning. Projects exploring new territory benefit from lighter planning and faster iteration.
How does SDLC help manage project risks?
SDLC mitigates project risks through structured phases that identify and address issues systematically. Requirements analysis identifies unclear or conflicting needs before development starts. Planning phase risk assessment anticipates potential problems and creates mitigation strategies. Design reviews catch architectural flaws before they're coded. Testing validates that software works as expected before deployment. This staged approach with clear gates between phases prevents issues from cascading. However, SDLC's risk management comes with a tradeoff — it discovers many risks late in the process. Requirements risks aren't validated until testing. Market risks aren't validated until deployment. Modern approaches like Agile manage risks differently by delivering working software frequently and getting real user feedback throughout development, which catches different types of risks earlier.
What's the difference between SDLC and Agile development?
SDLC and Agile aren't opposing concepts — Agile is a way of implementing SDLC principles. Traditional SDLC (often called Waterfall) executes phases sequentially: complete all requirements, then all design, then all development, then all testing. This works well when requirements are stable and well-understood but struggles when requirements evolve. Agile implements SDLC phases iteratively: each 2-4 week sprint includes requirements, design, development, and testing for a small set of features. This enables faster feedback and adaptation but requires more ongoing stakeholder involvement. Traditional SDLC optimizes for predictability and thorough documentation. Agile optimizes for adaptability and working software. Most real projects benefit from a pragmatic mix — enough planning to align stakeholders and mitigate known risks, but enough iteration to adapt to new information and changing needs.
When should you use SDLC instead of Agile?
Traditional sequential SDLC makes sense in specific scenarios. Projects with fixed regulatory requirements that must be fully defined upfront benefit from SDLC's thorough documentation and traceability. Contracts that specify detailed requirements and acceptance criteria before work begins require SDLC's structure. Projects where requirements are truly stable and well-understood can leverage SDLC's efficiency in executing predetermined plans. However, these scenarios are less common than many organizations assume. Most software projects face changing requirements, unclear initial needs, or evolving business contexts that favor Agile's iterative approach. Even in regulated industries, many organizations successfully use Agile with appropriate documentation and compliance controls. The key is honestly assessing whether your requirements are truly stable or if you're assuming stability because that's what SDLC requires. If there's any meaningful uncertainty, Agile approaches typically deliver better outcomes.
