Most software projects that go wrong do not fail because of bad code. They fail because the team built the wrong thing, skipped testing to hit a date, or launched without a plan for what happens next. A clear software development process exists to prevent exactly those problems.
This guide explains the software development process in plain terms: the seven steps almost every project goes through, the main models teams use to organise them, and what to look for if you are commissioning custom software rather than building it yourself.
What is the software development process?
The software development process is the structured set of activities used to turn a business need into working software and keep it working afterwards. It is often called the software development life cycle, or SDLC.
The process covers more than writing code. It includes deciding what to build, agreeing how it should work, designing the system, testing it, releasing it safely and maintaining it once real people depend on it. Skipping any of these does not remove the work. It just moves the cost to a later, more expensive moment.
The 7 steps of the software development process
Different teams use different names, but the work almost always falls into these seven steps.
1. Planning
Planning answers why the software should exist and whether the project is worth doing. At this stage the team defines:
- The business problem and the outcome you want, such as fewer manual hours, faster onboarding or a new revenue stream.
- Who the users are and what they need to get done.
- Scope boundaries: what is in the first release and what is deliberately left out.
- Constraints such as budget, timeline, compliance rules and existing systems.
- Main risks and how they will be handled.
A good planning phase ends with a shared, written understanding of the goal. If the people paying for the software and the people building it describe the goal differently, the project is not ready to move on.
2. Requirements analysis
Requirements turn the goal into specific, testable statements about what the software must do. They usually fall into two groups:
- Functional requirements describe behaviour, for example "an account manager can export a client report as a PDF".
- Non-functional requirements describe qualities, such as performance, security, accessibility, availability and how much data the system must handle.
Write requirements from the user's point of view, give each one acceptance criteria, and rank them. A prioritised list makes it far easier to protect the launch date when something takes longer than expected, because everyone already knows what can move to a later release.
3. Design
Design decides how the software will meet the requirements. It has two sides.
Product and UX design covers user flows, wireframes, interface design and content. Testing a clickable prototype with a few real users at this point is one of the cheapest ways to find problems.
Technical design covers architecture, data models, integrations, hosting, security and the technology stack. Choices made here, such as how data is stored or how services talk to each other, are hard to reverse later, so they deserve careful review.
4. Development
Development is where engineers write the code, usually in small increments. Healthy development practice includes:
- Version control, with every change tracked and reviewable.
- Code review, so at least one other engineer checks each change before it merges.
- Automated tests written alongside the feature, not after it.
- Continuous integration, which builds and tests the code on every change.
- Regular demos, so stakeholders see working software early and often rather than only at the end.
5. Testing
Testing confirms the software does what the requirements say and does not break under real conditions. Most projects combine several layers:
| Testing type | What it checks |
|---|---|
| Unit testing | Individual functions and components behave correctly on their own |
| Integration testing | Components, APIs and third-party services work together |
| System and end-to-end testing | Complete user journeys work from start to finish |
| Performance testing | The system stays fast and stable under expected load |
| Security testing | Common vulnerabilities, access control and data handling |
| User acceptance testing (UAT) | Real users or business owners confirm it meets their needs |
Automate what you can, but keep human testing for usability and edge cases that scripts do not catch.
6. Deployment
Deployment moves the software into the environment where people use it. A safe release process typically includes a staging environment that mirrors production, an automated deployment pipeline, a written release checklist, monitoring and alerts that are switched on before launch, and a tested rollback plan.
For larger changes, gradual rollouts, such as releasing to a small group of users first or using feature flags, reduce the impact if something goes wrong. If the release replaces an existing website or app, the same discipline described in our website redesign checklist applies: benchmark first, protect what already works and monitor closely after launch.
7. Maintenance and improvement
Launch is the start of the software's working life, not the end of the project. Maintenance includes fixing bugs, applying security and dependency updates, monitoring performance and costs, and improving features based on how people actually use them.
Plan and budget for this from the beginning. Software that nobody maintains gradually becomes slower, less secure and harder to change.
Software development models compared
A software development model is the way a team organises the seven steps. The steps stay the same; what changes is their order, overlap and how often they repeat.
| Model | How it works | Best suited to | Main trade-off |
|---|---|---|---|
| Waterfall | Each phase is completed and signed off before the next begins | Fixed, well-understood requirements with heavy documentation needs | Changes late in the project are slow and costly |
| V-model | Waterfall with a matching test phase planned for every build phase | Regulated or safety-critical systems | Rigid, with little room for discovery |
| Iterative and incremental | The product is built in a series of working versions | Projects where value can be delivered in stages | Needs strong architecture to avoid rework |
| Spiral | Repeated cycles focused on identifying and reducing risk | Large, high-risk or novel projects | Process overhead can be heavy for small teams |
| Agile (scrum, kanban) | Short cycles of planning, building, testing and review with frequent feedback | Products where requirements will evolve with user feedback | Needs an engaged product owner and regular decisions |
| DevOps practices | Development and operations share responsibility, with automated testing and deployment | Products that need frequent, reliable releases | Requires investment in tooling and automation |
In practice, many teams use a hybrid: a short discovery and architecture phase up front, then agile delivery in two-week cycles, supported by DevOps practices for testing and deployment.
How to choose the right model for your project
Use these questions to narrow the choice:
- How stable are the requirements? If you expect to learn and change course, choose an iterative or agile approach. If the scope is fixed by contract or regulation, a more sequential model may fit.
- How much risk is involved? New technology, complex integrations or strict compliance favour models that tackle risk early, such as spiral or a dedicated discovery phase.
- How involved can your team be? Agile depends on someone from your side reviewing work and making decisions every cycle. If that is not realistic, plan for longer review points.
- How often do you need to release? Frequent releases need automated testing and deployment, whatever model you choose.
- What documentation do you need? Audits and regulated industries may require formal sign-offs at each stage.
Common mistakes in the software development process
- Starting with features instead of the problem. A long feature list without a clear goal leads to software that does a lot and helps little.
- Treating requirements as fixed when they are not. Pretending nothing will change usually means change happens anyway, just later and at higher cost.
- Leaving testing to the end. Bugs found late take longer to trace and fix than bugs found in the same week they were written.
- No owner on the business side. Without one person who can make decisions, work stalls or drifts.
- Ignoring non-functional requirements. Security, performance and accessibility are much harder to add after launch.
- No plan for after launch. Without maintenance, monitoring and a backlog, the software slowly falls behind.
- Forgetting search visibility. If the software includes public web pages, plan crawlability, page speed and structured data from the design stage. Our technical SEO audit checklist covers what to check.
What to expect when you hire a software development partner
If you are commissioning custom software, the process above is also a useful way to judge potential partners. A capable partner should be able to:
- Explain how they run discovery and turn your goals into prioritised requirements.
- Show how they design architecture and how they make those decisions with you.
- Describe their code review, automated testing and deployment practices.
- Give you regular access to working software, not just status reports.
- Be clear about ownership of the code, documentation and accounts.
- Offer a realistic plan for maintenance and support after launch.
Many of the questions in our guide on how to choose an SEO agency, such as asking how work is reported and who actually does it, apply just as well to software partners.
At Sirajia Sol, our software development and web development teams follow this kind of structured, iterative process, from discovery through to launch and ongoing support. If you are planning a new product, internal tool or platform rebuild, get in touch and tell us about the problem you want to solve.