COURSE INFORMATION PACKAGE · INF 536

Software Quality and Testing

Elective · English
ECTS
6
Local Credit
3
Theory + Practice + Lab
3 + 0 + 0
Course Level
Masters Degree
Prerequisites
-
Semester
1
On this page
Content Weekly Contents Assessment System Relation of Proficiency ECTS
Course Instructor(s)
Gülfem ALPTEKİN
gulfem@gmail.com

Content

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.

Course 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.

Weekly 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

Assessment System

Contribution to Overall Grade
Activities Number Contribution
Contribution of in-term studies to overall grade 4 60
Contribution of final exam to overall grade 1 40
Total 5 100
In-Term Studies
Activities 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
Total 3 60

Relation of Proficiency

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

ECTS

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