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BachelorFaculty of Computing and Software Engineering

Software Quality Assurance and Test Automation

Welcome to the world of flawless software! I am Prof. Dr. Melis Güneş. As a professor and a pioneering force in the field of Software Quality Assurance and Test Automation, I bring a unique blend of engineering expertise and quality insight to the study of software reliability. I am honored to lead the Software Quality Assurance and Test Automation (Bachelor's) program at Nexier University. My motto is: "Engineering Quality, Automating Confidence".

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Level
Bachelor
Learning model
Professor + Mentor
Named list
See the named lists · 12 months recommended
NXAcademic
Edition
The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

01

Academic focus

Software testing methodologies, developing automated test scripts, and performance testing for large-scale applications.

02

Practical focus

Software testing methodologies, automated test script development, performance testing.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

  • Internships in technology companies or software development firms

  • Roles as QA engineers or test automation specialists

  • Consultancy in software quality assurance and test automation

  • Support roles in academic research projects on software quality

Career opportunities

  • Lead QA Architect for technology companies or software development firms

  • Test Automation Engineer for large-scale software projects

  • Performance Test Engineer for critical applications

  • Researcher in Software Quality Assurance and Test Automation

Jobs and projects

  • Cultivating an interdisciplinary approach, integrating software engineering, quality assurance, and automation

  • Developing strategic thinking for software quality assurance and test automation

  • Enhancing problem-solving through the analysis of complex software testing challenges

  • Critical thinking for a comprehensive and nuanced understanding of Software Quality Assurance and Test Automation

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

  • What you gain

    • Mastering practical skills in Software testing methodologies and automated test script development.
    • Gaining expertise in performance testing.
    • Developing problem-solving abilities for real-world challenges in software quality assurance.
    • Cultivating an interdisciplinary approach, integrating software engineering, quality assurance, and automation.

  • Skills you build

    • Mastering AI-powered techniques for test strategy synthesis.
    • Applying advanced software engineering principles to software quality assurance and test automation.
    • Interpreting and analyzing complex software testing methodologies and their implications for large-scale applications.
    • Identifying optimal defect detection rates and predicting release risks.
Listed courses

Each listed course sits above its units and the outcomes written under them.

Software Quality Assurance and Test Automation

  1. 01Software Testing Methodologies and Principles
    1. FoundationsFoundations of Software Testing Methodologies and Principles

      The learner can master practical skills in Software testing methodologies and automated test script development, as applied to Software Testing Methodologies and Principles.

      The learner can gain expertise in performance testing, as applied to Software Testing Methodologies and Principles.

    2. MethodsMethods in Software Testing Methodologies and Principles

      The learner can develop problem-solving abilities for real-world challenges in software quality assurance, as applied to Software Testing Methodologies and Principles.

      The learner can cultivating an interdisciplinary approach, integrating software engineering, quality assurance, and automation, as applied to Software Testing Methodologies and Principles.

    3. ApplicationApplication of Software Testing Methodologies and Principles

      The learner can master AI-powered techniques for test strategy synthesis, as applied to Software Testing Methodologies and Principles.

      The learner can apply advanced software engineering principles to software quality assurance and test automation, as applied to Software Testing Methodologies and Principles.

  2. 02Automated Test Script Development (Selenium, Playwright)
    1. FoundationsFoundations of Automated Test Script Development (Selenium, Playwright)

      The learner can interpreting and analyze complex software testing methodologies and their implications for large-scale applications, as applied to Automated Test Script Development (Selenium, Playwright).

      The learner can identify optimal defect detection rates and predicting release risks, as applied to Automated Test Script Development (Selenium, Playwright).

    2. MethodsMethods in Automated Test Script Development (Selenium, Playwright)

      The learner can apply a method from Automated Test Script Development (Selenium, Playwright) to a documented case.

      The learner can select an appropriate method from Automated Test Script Development (Selenium, Playwright) for a stated problem.

    3. ApplicationApplication of Automated Test Script Development (Selenium, Playwright)

      The learner can evaluate a practice of Automated Test Script Development (Selenium, Playwright) against a stated criterion.

      The learner can transfer Automated Test Script Development (Selenium, Playwright) to a new documented context.

  3. 03Performance Testing and Scalability Analysis
    1. FoundationsFoundations of Performance Testing and Scalability Analysis

      The learner can explain the core terms of Performance Testing and Scalability Analysis.

      The learner can distinguish related ideas inside Performance Testing and Scalability Analysis.

    2. MethodsMethods in Performance Testing and Scalability Analysis

      The learner can apply a method from Performance Testing and Scalability Analysis to a documented case.

      The learner can select an appropriate method from Performance Testing and Scalability Analysis for a stated problem.

    3. ApplicationApplication of Performance Testing and Scalability Analysis

      The learner can evaluate a practice of Performance Testing and Scalability Analysis against a stated criterion.

      The learner can transfer Performance Testing and Scalability Analysis to a new documented context.

  4. 04Test Automation Frameworks and CI/CD Integration
    1. FoundationsFoundations of Test Automation Frameworks and CI/CD Integration

      The learner can explain the core terms of Test Automation Frameworks and CI/CD Integration.

      The learner can distinguish related ideas inside Test Automation Frameworks and CI/CD Integration.

    2. MethodsMethods in Test Automation Frameworks and CI/CD Integration

      The learner can apply a method from Test Automation Frameworks and CI/CD Integration to a documented case.

      The learner can select an appropriate method from Test Automation Frameworks and CI/CD Integration for a stated problem.

    3. ApplicationApplication of Test Automation Frameworks and CI/CD Integration

      The learner can evaluate a practice of Test Automation Frameworks and CI/CD Integration against a stated criterion.

      The learner can transfer Test Automation Frameworks and CI/CD Integration to a new documented context.

  5. 05Quality Assurance in Agile and DevOps Environments
    1. FoundationsFoundations of Quality Assurance in Agile and DevOps Environments

      The learner can explain the core terms of Quality Assurance in Agile and DevOps Environments.

      The learner can distinguish related ideas inside Quality Assurance in Agile and DevOps Environments.

    2. MethodsMethods in Quality Assurance in Agile and DevOps Environments

      The learner can apply a method from Quality Assurance in Agile and DevOps Environments to a documented case.

      The learner can select an appropriate method from Quality Assurance in Agile and DevOps Environments for a stated problem.

    3. ApplicationApplication of Quality Assurance in Agile and DevOps Environments

      The learner can evaluate a practice of Quality Assurance in Agile and DevOps Environments against a stated criterion.

      The learner can transfer Quality Assurance in Agile and DevOps Environments to a new documented context.

  6. 06Fundamentals of Software Testing
    1. FoundationsFoundations of Fundamentals of Software Testing

      The learner can explain the core terms of Fundamentals of Software Testing.

      The learner can distinguish related ideas inside Fundamentals of Software Testing.

    2. MethodsMethods in Fundamentals of Software Testing

      The learner can apply a method from Fundamentals of Software Testing to a documented case.

      The learner can select an appropriate method from Fundamentals of Software Testing for a stated problem.

    3. ApplicationApplication of Fundamentals of Software Testing

      The learner can evaluate a practice of Fundamentals of Software Testing against a stated criterion.

      The learner can transfer Fundamentals of Software Testing to a new documented context.

  7. 07Techniques for Automated Test Script Development
    1. FoundationsFoundations of Techniques for Automated Test Script Development

      The learner can explain the core terms of Techniques for Automated Test Script Development.

      The learner can distinguish related ideas inside Techniques for Automated Test Script Development.

    2. MethodsMethods in Techniques for Automated Test Script Development

      The learner can apply a method from Techniques for Automated Test Script Development to a documented case.

      The learner can select an appropriate method from Techniques for Automated Test Script Development for a stated problem.

    3. ApplicationApplication of Techniques for Automated Test Script Development

      The learner can evaluate a practice of Techniques for Automated Test Script Development against a stated criterion.

      The learner can transfer Techniques for Automated Test Script Development to a new documented context.

  8. 08Performance Testing and Optimization
    1. FoundationsFoundations of Performance Testing and Optimization

      The learner can explain the core terms of Performance Testing and Optimization.

      The learner can distinguish related ideas inside Performance Testing and Optimization.

    2. MethodsMethods in Performance Testing and Optimization

      The learner can apply a method from Performance Testing and Optimization to a documented case.

      The learner can select an appropriate method from Performance Testing and Optimization for a stated problem.

    3. ApplicationApplication of Performance Testing and Optimization

      The learner can evaluate a practice of Performance Testing and Optimization against a stated criterion.

      The learner can transfer Performance Testing and Optimization to a new documented context.

  9. 09Case Studies in Software Quality Assurance and Test Automation
    1. FoundationsFoundations of Case Studies in Software Quality Assurance and Test Automation

      The learner can explain the core terms of Case Studies in Software Quality Assurance and Test Automation.

      The learner can distinguish related ideas inside Case Studies in Software Quality Assurance and Test Automation.

    2. MethodsMethods in Case Studies in Software Quality Assurance and Test Automation

      The learner can apply a method from Case Studies in Software Quality Assurance and Test Automation to a documented case.

      The learner can select an appropriate method from Case Studies in Software Quality Assurance and Test Automation for a stated problem.

    3. ApplicationApplication of Case Studies in Software Quality Assurance and Test Automation

      The learner can evaluate a practice of Case Studies in Software Quality Assurance and Test Automation against a stated criterion.

      The learner can transfer Case Studies in Software Quality Assurance and Test Automation to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My expertise spans the intricate domains of software testing methodologies, developing automated test scripts, and performance testing for large-scale applications. My work seamlessly integrates software engineering, quality assurance, and automation. I am widely recognized for my contributions, with publications like "Automated Regression Testing for Microservices Architectures" and "Performance Testing Strategies for Cloud-Native Applications" listed on these platforms. I hold prestigious memberships as a "Lead QA Architect" at a major software company (e.g., Microsoft, IBM) and an "Honorary Member" of the International Software Testing Qualifications Board (ISTQB). My thought leadership is evident through my regular insightful articles on the evolution of quality assurance practices and the challenges of ensuring software reliability in agile environments on her LinkedIn profile, with the motto "Engineering Quality, Automating Confidence."

Applied mentorship

My expertise lies in understanding and navigating the technical challenges of software quality, focusing on Software testing methodologies, automated test script development, and performance testing. I focus on the practical implementation and application of theoretical concepts, explaining complex interdisciplinary topics in a clear and concise manner. I guide my students through the challenging integration aspects of different fields and ensure they grasp the nuances of combining disparate data types, fostering a detail-oriented and methodical approach.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My research is focused on software quality assurance and test automation:

Blog Post (Current Academic Topic): "The Shift-Left Paradigm in QA: Integrating Testing Earlier in the SDLC." This blog post academically explores the "shift-left" approach in Software Quality Assurance, emphasizing the importance of integrating testing activities earlier in the Software Development Life Cycle (SDLC). It discusses how this proactive strategy, including static analysis, unit testing, and API testing, reduces defects, accelerates delivery, and improves overall software quality by identifying issues at their source.

Blog Post (Controversial Topic): "The Perfect Bug: When AI Designs the Flaw – The Ethical Dilemma of Adversarial Quality Assurance." This article provocatively discusses the highly controversial future where advanced AI systems, specifically designed for adversarial testing, become so sophisticated that they can not only find bugs but also design "perfect" software flaws that are exceptionally difficult to detect or exploit, or even introduce subtle, malicious vulnerabilities themselves. It questions whether this level of AI-driven testing, despite its potential for hyper-robust software, could inadvertently lead to an arms race between AI testers and developers, create undetectable backdoors, or even be weaponized for cyberattacks. It raises profound ethical questions about accountability in AI-generated vulnerabilities, trust in AI-designed testing, and the imperative to ensure human oversight in critical software quality.

Article: "Developing Robust Automated Test Suites for Web Applications." This article details best practices and strategies for developing robust automated test suites for complex web applications. It covers topics such as test framework selection (e.g., Selenium, Playwright), test data management, and integrating automated tests into continuous integration pipelines to ensure consistent quality.

Peer-Reviewed Journal Article: "Scalable Performance Testing for High-Volume Transaction Systems." Published in the Journal of Software Quality Engineering, this article presents groundbreaking research on scalable performance testing for large-scale, high-volume transaction systems. It details novel methodologies and tools for simulating realistic user loads, analyzing system behavior under stress, and identifying performance bottlenecks to ensure applications meet critical responsiveness and stability requirements.

Book: "Quality Engineering Unlocked: Software Testing and Automation." This book provides a foundational understanding of Software Quality Assurance and Test Automation, covering software testing methodologies, developing automated test scripts, and performance testing for large-scale applications.

R / 02

Mentor practice lens

My contributions focus on understanding and navigating the technical challenges of software quality:

"Automated Testing with Selenium and Python" (Technical Guide).

"Introduction to Software Performance Testing" (Research Paper).

"Test Case Design Techniques for Modern Applications" (Industry White Paper).

Adaptive capability

Professor superpower

I possess a remarkable "superpower": Test Strategy Synthesizer. When a student proposes a new software project, I can instantly use the GAF engine to generate a high-fidelity, optimized test strategy blueprint. This includes simulating defect detection rates, predicting release risks, and highlighting areas for automated test coverage, allowing for rapid iteration and optimization of quality assurance efforts.

Adaptive capability

Mentor superpower

I possess a remarkable "superpower": Test Data Fabricator. When students are struggling with realistic test data for their automated scripts, I can instantly activate a GAF-powered "Test Data Fabricator." This tool generates diverse and representative synthetic test data sets, including edge cases and negative scenarios, allowing students to thoroughly test their applications without compromising real user data.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

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Named lists

Named lists for this house

Core. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

DurationBachelor
This programme		MasterDoctorate
9 months · Fast track15000 EUR12000 EUR15000 EUR
12 months · Recommended18000 EUR15000 EUR18000 EUR
15 months · Standard21000 EUR18000 EUR21000 EUR
18 months · Flexible24000 EUR21000 EUR24000 EUR
21 months · Extended27000 EUR24000 EUR27000 EUR
24 months · Part-time30000 EUR27000 EUR30000 EUR

These are the owner lists. Enrolment is not open. Nothing here is a sale.

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