Software Development Life Cycle (SDLC) Explained: Stages & Models

Software Development Life Cycle (SDLC) Explained_ Stages & Models

Boss: Launch the app fast?

Team: ‘But we don’t even have a plan yet.’

Boss: ‘Just start coding, we’ll figure it out later.’

This is how many projects fail. In fact, the recent data also states that nearly 70% of software projects fail due to poor planning, unclear requirements, or weak execution.

That’s where the Software Development Life Cycle (SDLC) comes in.

Before you think, ‘Oh, another boring process. ’ Let me tell you, it’s a guide that helps you turn messy coding into real, scalable software without wasting time or money.

So let’s dive into the blog and learn about it in detail.

What is the Software Development Life Cycle (SDLC)?

What is the Software Development Li

The Software Development Life Cycle (SDLC) is a step-by-step guide for building software. It helps the development team to easily perform complex task, from the first idea to launching and maintaining the product.

In simple language, SDLC breaks software building into clear phases:

  1. Planning
  2. Analysis
  3. Design
  4. Development
  5. Testing
  6. Deployment
  7. Maintenance

It’s very different from traditional development, where we used to start fresh every time. SLDC tells you the repeated processes beforehand so you don’t have to work on them again.

7 Essential SDLC Stages for SaaS Development

Essential SDLC Stag

Stage 1: Planning and gathering requirements

This is the first stage and the most important one, where ideas turn into a real plan. You figure out what you’re building, who it’s for, and how you’ll get it done. Let’s see in detail below:

What you do in this stage:

  • Research your market and competitors
  • Decide on features, timeline, and budget
  • Spot risks before they surprise you
  • Plan for rules like GDPR or HIPAA
  • Think about scaling for future growth

Common mistakes to avoid: Skipping customer interviews, ignoring compliance, or underestimating complexity.

Stage 2: Detailed requirements

Now that you have the plan, in this stage, you move from broad ideas to detailed instructions, so that developers can actually build.

What you do in this stage:

  • Write down every requirement (functional + non-functional)
  • Create user stories and prioritize features (RICE scoring helps)
  • Talk to customers for feedback
  • Plan API, performance, and billing needs

Stage 3: Design and Architecture

This stage involves turning the requirements from earlier stages into technical blueprints. Here, you design how the system will actually work, covering databases, user interfaces, and infrastructure.

Additionally, you also make big decisions, like planning for scaling, security, disaster recovery, and deciding if your system will support many clients at once.

Stage 4: Development

Now it’s time to bring the plan to life. This is the stage where developers actually write the code and turn the plan into working software.

They set up the right tools, write clean code, check each other’s work, add notes for future use, and test everything as they build.

Stage 5: Testing

Now that you have the software, you can not launch it without testing. Therefore, this stage makes sure the software is reliable, safe, and ready to use for users.

What you test in software:

  • Functionality
  • Performance
  • Security
  • Integrations

Stage 6: Deployment

Once your software gets tested, it’s time to get your software live without breaking things. Deployment means releasing updates or new features to real users.  

  • Use safe release methods like blue-green or canary
  • Set up monitoring to catch problems quickly
  • Always have a backup plan for uncertainty.

Stage 7: Maintenance

This stage is about keeping your software alive and healthy after launch. The work doesn’t stop once it goes live; you also need to:

  • Monitor the system all the time to spot issues early
  • Fix bugs before they cause big problems
  • Add or improve features based on real user feedback
  • Keep uptime high so customers can always rely on you
  • Test backups regularly and patch security holes fast

Why Software Development Life Cycle (SDLC) Matters for SaaS Success?

Why Software Development Life Cycle (SDLC) Matters for SaaS
  • Predictable quality assurance: SDLC makes sure testing happens throughout the whole development process, not just at the end. This helps catch and fix 40% more bugs early. Fewer bugs mean happier customers who stick around longer and less work for your support team.
  • Faster updates: As SDLC works in small steps (iterative process), you don’t have to wait for months for a release. Teams with strong SDLC deliver features 2.5 times faster, helping you stay ahead of competitors.
  • Saves money: Fixing bugs early during planning costs 100 times less than fixing them after launch. This is where SDLC helps you in detecting problem early that improves your bottom line.
  • Stronger Security: With cyber threats increasing 38% yearly, integrating DevSecOps into your SDLC builds security into the process, from day one, not as a last-minute fix.
  • Build reliable software: In SaaS, losing a customer means losing their monthly payments forever. Over here, SDLC helps you build reliable software that keeps customers happy and coming back.

How to Build Secure Software with DevSecOps in Your SDLC?

Security is no longer something you can think about at the end. Hackers are getting smarter every day. Adding DevSecOps to every step of your development process can reduce security problems by 70%.

How it works, step by step:

Planning stage:

This is where we sit down and ask: “What could go wrong?” We make a checklist for security before anything is built, and decide what rules we have to follow (like GDPR).

Development stage:

While coding, we don’t do silly things like leave passwords in the code. We use tools to check for weak spots and make sure any outside code is safe to use.

Testing stage:

Break your own system with live tests and ethical hacking. Make sure security fixes don’t cause new problems.

Deployment stage:

Check security settings before launch. Use tools to protect your app and get alerts if anything suspicious happens.

Overcoming Common SDLC Challenges in SaaS

Challenge 1: Scope Creep

Problem: When you plan to build only a few features, but then you may have many more than you decided. Before you realize it, the project becomes more confusing.

Solution: You can fix it by sticking to your plan. And to make it more organized you can test your new ideas with a feature flag (like a switch you can turn on/off) instead of building them fully.

Challenge 2: Technical Debt gets Accumulated

Problem: Due to temporary fixes and shortcuts taken in the past it makes your software harder to maintain.

Solution: Fix it by keeping a list of technical debt items and working on the most critical ones first to prevent problems from piling up. Dedicate about 20% of your sprint time to fixing these old issues.

Challenge 3: Balancing Speed with Quality

Problem: Sales teams push for features to be delivered quickly, but rushing often means releasing buggy software that frustrates users.

Solution: Invest in automated testing to catch bugs early and reduce the time spent on manual regression tests. Good automation speeds up delivery while improving software quality.

Challenge 4: Cross-Team Coordination

Problem: Developers blame operations when things break, operations blame developers for mistakes, and customers end up frustrated with delays or issues.

Solution: Set clear communication rules that everyone agrees on. Use shared dashboards that all teams check regularly, and hold effective, focused meetings to keep everyone aligned and solve problems faster.

6 Models Of Software Development Life Cycle (SDLC)

6 Models Of Software Development

The SDLC models are procedural models, which assist teams in the planning, construction, testing, and delivery of software in a systematic manner. Some of the typical SDLC Models are listed below:

  • Waterfall Model: This is a linear method whereby one phase is completed before the other. Good when the requirements are clear on small-scale projects.
  • RAD Model: Rapid Application Development is concerned with rapid prototyping and rapid feedback.
    Prototyping in software development is a valuable approach where early versions of the software are built quickly for user testing and feedback.
    Learn more about how prototyping fits into SDLC in this detailed guide on Prototyping in software development.
  • Agile Model: Agile is fast and flexible and is split into small segments known as sprints, which enable the teams to be flexible enough to handle the changes.
  • V-Model: This is similar to Waterfall except that testing is designed early and aligned to every stage of development.
  • Spiral Model: Software development in cycles with emphasis on risk assessment, best complex projects.
  • Incremental Model: Builds the software piece by piece, adding features gradually.

For more details on these and other popular models, check out the blog on software development lifecycle models.

The Role of AI and Automation in the SDLC

AI and automation are making a drastic impact on the way software is developed by organizing tasks and minimizing errors. It helps by automating the repetitive tasks such as:

Writing code

Testing software

Managing projects

Saves developers time  

But!! You might be thinking how come it helps in SDLC?

Here’s how AI and automation help at each stage:

  • Planning: In this stage, AI helps in analyzing data to make better project plans and predict risks early.
  • Development: Over in this stage, AI-powered tools assist with writing cleaner, error-free code and automating code reviews.
  • Testing: This is very important stage, where automated tests is created and run by AI to find bugs faster that humans could do.
  • Deployment: AI enhances CI/CD pipelines to be automated, with builds, tests, and releases being automated, which makes the delivery faster and the downtime shorter.
  • Monitoring: AI continually observes the health of software, anticipates problems before they turn into actual problems and assists in optimization of performance.

Using AI and automation in SDLC increases productivity, cuts development costs, speeds up time-to-market, and makes software more reliable and secure.

Wrapping Up

Every app that you love using today is built with a clear plan and not overnight. It is built by following a long process of turning ideas into a real software that people enjoy. That process is known as the software development life cycle (SDLC).

The companies that are dominating the market right now? Wins by following a well-planned SDLC process. It’s how they keep scaling smoothly, and developers can focus on building instead of firefighting.

So, if you are serious about building software that lasts, follow the above SDLC process and see the results yourself.

About the Author

Ajeet Singh

Ajeet Singh founded La Net Team Software Solutions to deliver innovative software solutions. He has over 15 years of experience in software and computer science. He leads operations and market strategy. La Net Team became a trusted partner for digital transformation under his leadership. They specialise in web applications, mobile apps, AI integration, and scalable systems. Ajeet expanded the company internationally with offices in the US. He promotes collaborative innovation that helps global clients achieve meaningful business growth. His focus on quality and customer success earned him respect as a leader in the tech industry.