Course Name Code Semester T+U Hours Credit ECTS
Software Standards, Verification and Security SWE 202 4 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language English
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Dr.Öğr.Üyesi VEYSEL HARUN ŞAHİN
Course Lecturers
Course Assistants
Course Category Available Basic Education in the Field
Course Objective

Teaching the application of software testing to minimize the bugs during software development process and software defect detection by measuring of quality metrics.

Course Content

Basic Concepts and Introduction, Program Test Theory, Design and Testability, Unit Test, Reporting Types, Error Status Verification and Error Codes, Acceptance Tests, Test Team Organization, Software Testing in Java, C++ Test Framework, Software Reliability, Software Quality, Quality Metrics, Software Defect Detection

# Course Learning Outcomes Teaching Methods Assessment Methods
Week Course Topics Preliminary Preparation
1 Basic Concepts and Introduction
2 Program Test Theory
3 Design and Testability
4 Unit Test
5 Reporting Types
6 Error Status Verification and Error Codes
7 Acceptance Tests
8 Test Team Organization
9 Software Testing in Java
10 C++ Test Framework
11 Software Reliability
12 Software Quality
13 Quality Metrics
14 Software Defect Detection
Course Notes
Course Resources

Paul Ammann, Jeff Offutt, Introduction to Software Testing, 2nd Edt. Cambridge University Press, 2016

Kshirasagar Naik, Priyadarshi Tripathy, Software Testing and Quality Assurance: Theory and Practice, 1st Edt. Wiley-Spektrum, 2008

Abu Sayed Mahfuz, Software Quality Assurance: Integrating Testing, Security, and Audit (Internal Audit and IT Audit), 1st Edt. CRC Press, Taylor&Francis Group, 2016

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions.
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations.
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently.
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods.
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research.
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies.
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility.
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language.
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology.
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society.
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications.
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Ödev 15
2. Ödev 15
1. Proje / Tasarım 20
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 14 3 42
Hours for off-the-classroom study (Pre-study, practice) 14 1 14
Mid-terms 1 10 10
Assignment 2 8 16
Project / Design 1 23 23
Final examination 1 15 15
Total Workload 120
Total Workload / 25 (Hours) 4.8
dersAKTSKredisi 5