ECTS - Systems Software Validation and Testing
Systems Software Validation and Testing (SE344) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Systems Software Validation and Testing | SE344 | Area Elective | 2 | 2 | 0 | 3 | 6 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Bachelor’s Degree (First Cycle) |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture. |
Course Lecturer(s) |
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Course Objectives | The objective of this course is to introduce the fundamental principles and practices essential for ensuring the quality and reliability of software systems. Through a combination of theoretical concepts and practical exercises, students will learn to design, implement, and execute various testing strategies to detect and rectify defects in software applications. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Software testing and its essentials, risk management, verification and validation, static V&V techniques and their comparison, software testing strategy and techniques, software testing tools, configuration management, software measurement and metrics related with testing. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Giriş ve bilgilendirme | Lecture Notes |
2 | Basic Concepts | Ch1 |
3 | Basic Concepts | Ch1 |
4 | Unit Testing | Ch3 |
5 | Control Flow Testing | Ch4 |
6 | Control Flow Testing | Ch4 |
7 | Data Flow Testing | Ch5 |
8 | Midterm Exam | |
9 | Data Flow Testing | Ch5 |
10 | Integration Testing | Ch7 |
11 | System Testing Categories | Ch8 |
12 | Functional Testing | Ch9 |
13 | Functional Testing | Ch9 |
14 | Test Metrics | Lecture notes |
15 | Final Examination Period | Review of topics |
16 | Final Examination Period | Review of topics |
Sources
Course Book | 1. Practical Software Testing, A. Yazıcı, S. Nazlıoğlu, T. Üstünkök, Ö. Tekin, Z. Y. Oğuz, Atılım Publications, 2022 |
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2. K. Naik & P. Tripathy, “Software Testing & Quality Assurance: Theory and Practice”, John-Wiley, 2008. | |
Other Sources | 3. Software Testing, Yogesh Singh, Cambridge University Press, 2012, ISBN 978-1-107-01296-7 |
4. Software Testing Foundations, Andreas Spillner, Tilo Linz & Hans Schaefer, Rockynook, 4th Ed., 2012, ISBN: 978-1-937538-42-2 | |
5. Software Testing In The Real World: Improving The Process by Edward Kit, 1995, ISBN-10: 0-201-87756-2; ISBN-13: 978-0-201-87756-4 |
Evaluation System
Requirements | Number | Percentage of Grade |
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Attendance/Participation | - | - |
Laboratory | 2 | 30 |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | - | - |
Presentation | - | - |
Project | - | - |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 30 |
Final Exam/Final Jury | 1 | 40 |
Toplam | 4 | 100 |
Percentage of Semester Work | 70 |
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Percentage of Final Work | 30 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. | |||||
2 | The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. | |||||
3 | The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. | |||||
4 | The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively. | X | ||||
5 | The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline. | |||||
6 | The ability to work effectively in inter/inner disciplinary teams; ability to work individually | X | ||||
7 | Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions. | |||||
8 | The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions. | |||||
9 | Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology. | |||||
10 | The ability to behave according to ethical principles, awareness of professional and ethical responsibility; | X | ||||
11 | Knowledge of the standards utilized in software engineering applications | |||||
12 | Knowledge on business practices such as project management, risk management and change management; | X | ||||
13 | Awareness about entrepreneurship, innovation | |||||
14 | Knowledge on sustainable development | |||||
15 | Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety; | |||||
16 | Awareness of the legal consequences of engineering solutions | |||||
17 | An ability to describe, analyze and design digital computing and representation systems. | |||||
18 | An ability to use appropriate computer engineering concepts and programming languages in solving computing problems. | X |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
---|---|---|---|
Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 4 | 64 |
Laboratory | 10 | 2 | 20 |
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 16 | 3 | 48 |
Presentation/Seminar Prepration | |||
Project | |||
Report | |||
Homework Assignments | |||
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 7 | 7 |
Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
Total Workload | 154 |