You walk into your first QA job interview in Kathmandu. The interviewer asks: "Can you explain the difference between SDLC and STLC, and how they work together?" You know what SDLC stands for. You know what STLC stands for. But the moment they ask how the two connect inside a real Agile sprint, everything blurs.
This is one of the most common interview questions for QA roles in Nepal, and one of the most poorly explained topics in beginner QA content. Most guides define both terms separately, give you two lists of phases and a comparison table, and stop there. What they skip is the part that actually matters: SDLC and STLC do not run one after the other. They run in parallel. A QA engineer is involved from the first day of a sprint, not after the developers finish building.
If you are building a career in software quality, the QA career guide maps out the full path from beginner to employed in Nepal's IT market.
And if you want to practise these concepts with real tools and live projects, the Quality Assurance course at Skill Shikshya covers SDLC, STLC, Agile workflows, JIRA, Selenium, and Postman in one structured program.
SDLC stands for Software Development Life Cycle. It is the structured process that takes a software idea from the first business conversation all the way through to a deployed, maintained product. Every software project follows some version of SDLC, whether the team formally documents it or not.
The purpose of the software development life cycle is to give teams a repeatable, predictable framework for building software that meets user requirements, ships on schedule, and stays within budget. Without SDLC, software projects tend to drift: requirements get missed, development overlaps with undefined requirements, and testing happens too late to catch the problems it should have caught earlier.
The output of SDLC is a working software product. SDLC is owned jointly by product managers, architects, developers, and QA engineers. It covers the entire product journey, from the first line of a requirements document to the last maintenance patch years after launch.

SDLC breaks down into six phases. Each one has a clear goal, a defined output, and a specific role for QA.
Business requirements get gathered from stakeholders and documented. The team asks: what does this software need to do? Who will use it? What problems does it solve?
Architects and senior developers design the system structure: database schemas, APIs, UI architecture, and integration points.
Developers write the actual application code based on the design documents. Unit tests get written alongside the code.
The integrated application gets tested against the original requirements. This is where QA takes full ownership of the process.
The tested and approved build gets released to the production environment where real users access it.
Bug fixes, performance improvements, and feature updates happen continuously after launch. Every change carries a risk of breaking something that already works.
| SDLC Model | Approach | Best For |
|---|---|---|
| Waterfall | Linear and sequential | Fixed, well-defined requirements |
| Agile | Iterative, sprint-based | Evolving requirements, fast-moving teams |
| V-Model | Testing runs parallel to each development phase | Safety-critical systems |
| Spiral | Risk-driven, iterative | Large, complex, high-risk projects |
The large majority of Nepal's IT companies use Agile. This matters because STLC in an Agile team looks very different from STLC in a Waterfall project. In Agile, both cycles compress into 2-week sprints where SDLC and STLC activities happen side by side every single day.
STLC stands for Software Testing Life Cycle. It is the structured set of phases that covers all testing activities within a software project: planning what to test, designing the test cases, setting up the environment, executing the tests, logging defects, and closing the testing cycle with a formal sign-off.
STLC is a subset of SDLC. It does not replace SDLC or run after it finishes. It sits inside SDLC, specifically handling the quality assurance dimension of the development process. Where SDLC asks "are we building the right software, correctly?", STLC asks "does the software we built actually work the way it should?"
The output of STLC is a tested, validated release with all defects identified, tracked, and resolved. STLC is owned by the QA team. Understanding STLC thoroughly is the foundation of any QA role in Nepal, and one of the topics the what is quality assurance guide covers in detail for beginners.

Most beginner guides list the STLC phases without explaining entry and exit criteria. But these criteria are exactly what QA interviewers in Nepal ask about, and they are what make the STLC practical rather than just theoretical.
QA reads through requirements and user stories to identify what is testable, what is ambiguous, and what is missing.
QA defines the test strategy, scope, approach, tools, timelines, responsibilities, and risk areas.
QA writes detailed test cases for every testable requirement, covering happy paths, edge cases, and negative scenarios. Automation scripts get written for test cases that will run repeatedly.
QA sets up the staging environment where tests will run: servers, databases, browsers, devices, and any third-party mock services.
QA executes all planned test cases, records results, and files detailed bug reports for every failure.
QA produces the final test summary report and formally signs off on whether the build is ready for release.
Both cycles cover six phases each, but they serve completely different purposes. Here is how they compare across the dimensions that matter most in a real QA role.
| SDLC | STLC | |
|---|---|---|
| Full form | Software Development Life Cycle | Software Testing Life Cycle |
| Purpose | Build software that meets requirements | Validate that the built software works correctly |
| Scope | Entire software development process | Testing activities only |
| Output | Working software product | Tested, validated release with defect closure |
| Owned by | Developers, PM, architects, and QA | QA team |
| When it runs | From project kickoff to maintenance | Starts at requirement phase, ends at release sign-off |
| Focus | What to build and how to build it | Does it work as the requirements say it should? |
| Stakeholders | Entire project team | QA engineers, testers, business analysts |
| Verification or Validation | Both | Primarily validation |
The Key Differences in Plain Terms
This is the section that most blogs skip and most interviews test on. SDLC and STLC are not sequential processes. They are parallel processes that stay in sync throughout the project.
Here is how each SDLC phase maps to a corresponding STLC activity:
| SDLC Phase | STLC Activity Running in Parallel |
|---|---|
| Requirement Analysis | QA reviews requirements, creates RTM, flags ambiguity |
| System Design | QA writes test plan, defines testing approach and tools |
| Implementation (Coding) | QA writes test cases, sets up test environment |
| Testing | QA executes tests, logs bugs, reruns regression suite |
| Deployment | QA runs post-deployment smoke tests |
| Maintenance | QA runs regression testing on every bug fix and update |
The critical insight from Archi's Academy's 2026 SDLC and STLC guide puts it clearly: "STLC doesn't happen after SDLC. It runs alongside it. Test planning starts as soon as requirements are defined. Test cases are written while code is being developed."
This parallel relationship is what makes QA engineers valuable from sprint day one, not just at the end of a development cycle.
Most Kathmandu IT companies run two-week Agile sprints. Here is how SDLC and STLC actually run in parallel inside a single sprint.
Understanding the manual vs automation testing split is important here: manual testing handles the new feature work in Days 9 to 12 while automation handles the regression suite that runs continuously in the CI/CD pipeline from Day 3 onwards.
Every QA interview in Nepal eventually asks about verification versus validation. Understanding the difference clearly shows that you understand where quality work happens in SDLC vs STLC.
| Verification | Validation | |
|---|---|---|
| Core question | Are we building the product right? | Are we building the right product? |
| Focus | Process and documentation | The actual product itself |
| When it happens | Throughout development | During and after testing |
| Methods | Reviews, walkthroughs, code inspections | Testing, UAT, demos, user feedback |
| SDLC phase | Design and development | Testing and deployment |
| STLC phase | Test planning and design review | Test execution and closur |
A Nepal-specific example: A fintech company builds a loan EMI calculator. Verification checks whether the formula in the code matches the formula in the design specification. Validation checks whether a Nepali user applying for a NPR 500,000 loan at 12% annual interest actually gets the correct monthly repayment amount when they use the calculator. Both matter. Verification without validation means the code is technically correct but may solve the wrong problem. Validation without verification means the output might be right today but breaks unpredictably later.
Traditional SDLC kept testing at the end. Testing was a gate that either approved or rejected the completed product. This created long feedback cycles: developers would build for weeks, QA would find problems, developers would rebuild, and the whole process repeated.
Shift-left testing moves QA involvement to the earliest possible point in SDLC. QA reviews requirements on Sprint Day 1. Test cases get written while code is still being developed. Automated tests run in the CI/CD pipeline on every code commit.
The IBM Systems Sciences Institute found that fixing a defect in the requirement phase costs one unit of effort. The same defect found in production costs 30 times more to resolve. Shift-left testing dramatically reduces this cost curve by catching problems before they compound.
In Nepal's outsourcing sector, where development teams build products for international clients on tight delivery timelines, shift-left testing is increasingly becoming the standard approach. Tools that make this possible in Kathmandu's IT companies:
Every QA job listing in Nepal assumes you understand SDLC. Every QA interview tests STLC phases, entry and exit criteria, and how QA fits into Agile sprints. Here is why both matter for where your career goes from here:
For the complete step-by-step plan on building toward a senior QA role in Nepal, the QA career roadmap in Nepal guide maps the full path from manual testing fresher to senior automation engineer.
SDLC is the full journey of building software. STLC is the quality process that runs inside that journey, in parallel with every phase from requirements through to maintenance. The two are not sequential. They are synchronised. Every SDLC phase has a corresponding STLC activity that starts at the same time, not after.
Understanding this relationship is not just useful for passing QA interviews in Nepal. It changes how you work. QA engineers who know how SDLC and STLC connect get involved in requirements before developers start building, catch defects before they get coded in, and build automation suites that give the whole team instant feedback on every code push.
If you want to build this understanding with hands-on labs, real JIRA and Selenium projects, and mentors who work in Nepal's IT companies, the Quality Assurance course at Skill Shikshya covers everything from SDLC and STLC fundamentals through to Selenium, Postman, API testing, and live project work.
