SE302 Software Testing and Maintenance
Syllabus | International University of Sarajevo - Last Update on Feb 02, 2026
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Software Engineering
Özge Büyükdağlı
Course Lecturer
Course Objectives
The aims of this course are to: • study of software testing and maintenance methodologies to develop object-oriented, component-based software using the Test Driven Development approach, • present the main theoretical and practical topics for different types of coverage analysis, automatic test case generation, and regression testing • introduce program-based software testing and maintenance approaches.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
P. Amman, J. Offutt, Introduction to Software Testing. Cambridge University Press, 2017.
Additional Literature
John Watkins, Simon Mills, Testing IT: An Off-the-Shelf Software Testing Process, 2nd edition, 2011, Cambridge University Press L. Koskela, Test Driven: TDD and Acceptance TDD for Java Developers. Greenwich, CT: Manning, 2007.Teaching Methods
Lectures
Tutorials
Homework
And projects.
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction to the course, Why do we test software? | Amman & Offutt Ch 1 |
| 2 | Testing Techniques, Model-driven Test Design | Amman & Offutt Ch 2, Watkins Ch3 |
| 3 | Test Automation, Unit Testing (JUnit applications) | Amman & Offutt Ch 3, Watkins Ch5 |
| 4 | Test-Driven Development, Testing in Practice | Koskela Ch1-2, Amman & Offutt Part 3 |
| 5 | Criteria-Based Test Design | Amman & Offutt Ch 5 |
| 6 | Input Space Partitioning | Amman & Offutt Ch 6 |
| 7 | Graph Coverage Criteria | Amman & Offutt Ch 7 |
| 8 | MIDTERM | |
| 9 | Graph Coverage Criteria | Amman & Offutt Ch 7 |
| 10 | Graph Coverage Criteria | Amman & Offutt Ch 7 |
| 11 | Web Testing (Selenium Applications) | |
| 12 | V-Model, Integration, System, Acceptance Testing | Watkins |
| 13 | Refactoring | |
| 14 | Presentations | |
| 15 | Presentations |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| SE302.1 | Course | Tuesday 17:00 - 19:50 | B F1.23 - Amphitheater I | - | - |
| SE302.1 | Tutorial | Thursday 14:00 - 15:50 | B F1.8 | - | - |
| SE302.2 | Tutorial | Wednesday 13:00 - 14:50 | B F1.23 - Amphitheater I | - | - |
Office Hours & Room
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1
Home assignments
AI: Not AllowedAlignment with Learning Outcomes : 1
Midterm Exam
AI: Not AllowedAlignment with Learning Outcomes : 1
Projects
AI: Not AllowedAlignment with Learning Outcomes : 1
IUS Grading System
| Grading Scale | IUS Grading System | IUS Coeff. | Letter (B&H) | Numerical (B&H) |
|---|---|---|---|---|
| 0 - 44 | F | 0 | F | 5 |
| 45 - 54 | E | 1 | ||
| 55 - 64 | C | 2 | E | 6 |
| 65 - 69 | C+ | 2.3 | D | 7 |
| 70 -74 | B- | 2.7 | ||
| 75 - 79 | B | 3 | C | 8 |
| 80 - 84 | B+ | 3.3 | ||
| 85 - 94 | A- | 3.7 | B | 9 |
| 95 - 100 | A | 4 | A | 10 |
Late Work Policy
Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.
ECTS Credit Calculation
📚 Student Workload
This 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:
Lecture Hours
45 hours ⏳ (15 week × 3 h)
Home Studies
60 hours ⏳ (15 week × 4 h)
In-term Exam study
13 hours ⏳ (1 week × 13 h)
Final Exam Study
20 hours ⏳ (1 week × 20 h)
Homeworks
12 hours ⏳ (4 week × 3 h)
150 Total Workload Hours
6 ECTS Credits
Course Policies
Academic Integrity
All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.
Attendance Policy
Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.
Technology & AI Policy
Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.
Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.
Communication Policy
All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [SE302] in the subject line.
Academic Quality Assurance Policy
Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.
Learning Tips
Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.
Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.
Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.
Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.
Syllabus Last Updated on Feb 02, 2026 | International University of Sarajevo
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Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| SE302 | Software Testing and Maintenance | 3 | 2 | 6 | ||||||
| Prerequisite | CS105, MATH204 | It is a prerequisite to | - | |||||||
| Lecturer | Özge Büyükdağlı | Office Hours / Room / Phone | ||||||||
| obuyukdagli@ius.edu.ba | ||||||||||
| Assistant | Hamza Susic | Assistant E-mail | hamzasusic@student.ius.edu.ba | |||||||
| Course Objectives | The aims of this course are to: • study of software testing and maintenance methodologies to develop object-oriented, component-based software using the Test Driven Development approach, • present the main theoretical and practical topics for different types of coverage analysis, automatic test case generation, and regression testing • introduce program-based software testing and maintenance approaches. |
|||||||||
| Textbook | P. Amman, J. Offutt, Introduction to Software Testing. Cambridge University Press, 2017. | |||||||||
| Additional Literature |
|
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| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
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| Teaching Methods | Lectures, tutorials, homework, and projects. | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introduction to the course, Why do we test software? | Amman & Offutt Ch 1 | ||||||||
| Week 2 | Testing Techniques, Model-driven Test Design | Amman & Offutt Ch 2, Watkins Ch3 | ||||||||
| Week 3 | Test Automation, Unit Testing (JUnit applications) | Amman & Offutt Ch 3, Watkins Ch5 | ||||||||
| Week 4 | Test-Driven Development, Testing in Practice | Koskela Ch1-2, Amman & Offutt Part 3 | ||||||||
| Week 5 | Criteria-Based Test Design | Amman & Offutt Ch 5 | ||||||||
| Week 6 | Input Space Partitioning | Amman & Offutt Ch 6 | ||||||||
| Week 7 | Graph Coverage Criteria | Amman & Offutt Ch 7 | ||||||||
| Week 8 | MIDTERM | |||||||||
| Week 9 | Graph Coverage Criteria | Amman & Offutt Ch 7 | ||||||||
| Week 10 | Graph Coverage Criteria | Amman & Offutt Ch 7 | ||||||||
| Week 11 | Web Testing (Selenium Applications) | |||||||||
| Week 12 | V-Model, Integration, System, Acceptance Testing | Watkins | ||||||||
| Week 13 | Refactoring | |||||||||
| Week 14 | Presentations | |||||||||
| Week 15 | Presentations | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 30 | 1 | Not Allowed | |
| Semester Evaluation Components | |||||
| Home assignments | 4 | 20 | 1 | Not Allowed | |
| Midterm Exam | 1 | 30 | 1 | Not Allowed | |
| Projects | 1 | 20 | 1 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 3 | 15 | 45 | |||||||
| Home Studies | 4 | 15 | 60 | In-term Exam study | 13 | 1 | 13 | |||
| Final Exam Study | 20 | 1 | 20 | Homeworks | 3 | 4 | 12 | |||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 03/02/2026 | |||||||||