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 2 2 0 3 6
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
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;
  • Discuss the meaning and importance of quality in relation to software systems
  • Review different methods including testing to ensure quality
  • Apply different testing strategies, techniques and tools to software
  • Recognize the importance of measurement in developing quality software systems and its cost implications
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
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
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
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
Percentage of Final Work 30
Total 100

Course Category

Core Courses X
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
1 2 3 4 5
1 Adequate knowledge in mathematics, science and subjects specific to the software 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 software engineering applications; the ability to utilize information technologies effectively. X
5 The ability to gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the software engineering discipline.
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually. X
7 Effective oral and written 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 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 receive clear and understandable instructions.
9 Recognition of the need for lifelong learning; the ability to access information and follow recent developments in science and technology with continuous self-development
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, and innovation.
14 Knowledge on sustainable development.
15 Knowledge of the effects of software 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 apply algorithmic principles, mathematical foundations, and computer science theory in the modeling and design of computer-based systems with the trade-offs involved in design choices.
18 The ability to apply engineering approach to the development of software systems by analyzing, designing, implementing, verifying, validating and maintaining software systems. 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