Master of Science in Computer Engineering

Software Quality and Testing(INF 536)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
INF 536 Software Quality and Testing 1 3 0 0 3 6
Prerequisites
Admission Requirements
Language of Instruction English
Course Type Elective
Course Level Masters Degree
Course Instructor(s) Gülfem ALPTEKİN gulfem@gmail.com (Email)
Assistant
Objective The aim of this course is to integrate the concept of quality in each process step of a software, from requirement analysis to maintenance. First, quality assurance approaches and techniques that can be used throughout the whole process are learned. Basic theories related to the quality and test processes of software engineering are introduced and they are applied on examples and assignments. Software testing techniques, test flow and test process are explained. An individual or group-based project is carried out to ensure the use of all the theories learned throughout the semester.
Content Week 1. Introduction to software testing and quality
Week 2. Validation and verification, basic principles
Week 3. Test and analysis activities
Week 4. Finite models and data flow models
Week 5. Test case selection
Week 6. Functional testing
Week 7. Partitioning the input domain and boundary testing
Week 8. Combinatorial testing, structural testing
Week 9. Midterm
Week 10. Model-based testing, testing object-oriented software
Week 11. Fault-based testing, test execution
Week 12. Inspection, program analysis
Week 13. System, acceptance and regression testing, automating analysis and test
Week 14. Documenting analysis and test
Course Learning Outcomes LO 1: Understanding the importance and the effects of quality control, planning, and organization during the development of software-based systems.
LO 2: Understanding the place and the importance of testing in software development process.
LO 3: Learning test techniques.
LO 4: Learning test flows and processes.
LO 5: Learning test adequacy criteria.
LO 6: Studying in a team during software development.
LO 7: Choosing and applying the most appropriate software quality assurance technique for a given software project.
LO 8: Knowing the tools enabling software development with high quality.
LO 9: Learning to write reports representing the test and quality control processes.
Teaching and Learning Methods Lecture, Discussion, Case Study, Collaborative Learning, Project
References M. Pezze, M. Young, Software Testing and Analysis: Process, Principles, and Techniques, John Wiley & Sons Inc, 2008.
J. Tian, Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement, Wiley, 1st Edition, 2005.
C. Fox, “Introduction to Software Engineering Design, Processes, Principles, and Patterns with UML2”, Addison-Wesley, 2006.
Print the course contents
Theory Topics
Week Weekly Contents
1 Introduction to software testing and quality
2 Validation and verification, basic principles
3 Test and analysis activities
4 Finite models and data flow models
5 Test case selection
6 Functional testing
7 Partitioning the input domain and boundary testing
8 Combinatorial testing, structural testing
9 Midterm
10 Model-based testing, testing object-oriented software
11 Fault-based testing, test execution
12 Inspection, program analysis
13 System, acceptance and regression testing, automating analysis and test
14 Documenting analysis and test
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 4 60
Contribution of final exam to overall grade 1 40
Toplam 5 100
In-Term Studies
  Number Contribution
Assignments 1 15
Presentation 1 15
Midterm Examinations (including preparation) 1 30
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 3 60
No Program Learning Outcomes Contribution
1 2 3 4 5
1 X
2 X
3 X
4 X
5 X
6 X
7 X
8 X
9 X
10 X
11 X
12
13
Activities Number Period Total Workload
Class Hours 14 3 42
Assignments 1 25 25
Presentation 1 15 15
Midterm Examinations (including preparation) 1 25 25
Project 1 25 25
Final Examinations (including preparation) 1 30 30
Total Workload 162
Total Workload / 25 6,48
Credits ECTS 6
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