ECTS - Software Quality Assurance

Software Quality Assurance (SE345) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Software Quality Assurance SE345 Area Elective 3 0 0 3 7
Pre-requisite Course(s)
SE112
Course Language English
Course Type Elective Courses
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 provide knowledge and practical applications of concepts of software quality, quality models, standards and methodologies used in software industry.
Course Learning Outcomes The students who succeeded in this course;
  • Gaining knowledge in various Software Quality Assurance (SQA) fundamental concepts, definitions, objectives and activities performed during the development and maintenance of software systems
  • Discuss software quality assurance system components such as reviewing, tests, test implementation and their practical aspects during software development life cycle.
  • Gaining knowledge in software quality management components such as quality metrics and software quality costs
Course Content Introduction to software quality and assurance; software quality metrics; construction of software quality assurance; configuration management; software validation and verification; reviews, inspection and audits; software process improvement models; software testing strategies and testing techniques; defect reporting and removal; software

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to software quality and assurance Chapters 1-2 (main text)
2 Software quality factors Chapter 3
3 Overview of components of software quality assurance system Chapter 4
4 Integrating quality activities in project life cycle Chapter 7
5 Reviews, Inspection and Audits, Procedures and work instructions Chapter 8, 14
6 Software Testing Strategies Chapter 9
7 Software Testing Implementation Chapter 10
8 Configuration Management Chapter 18
9 Software Quality Metrics Chapter 21
10 Software Quality Metrics Chapter 21
11 Cost of software quality Chapter 22
12 SQA process standards and SQA unit Chapter 23, 24, 26
13 Lab.
14 Lab.
15 Final Examination Period Review of topics
16 Final Examination Period Review of topics

Sources

Course Book 1. Software Quality Assurance: From Theory to Implementation by Daniel Galin, Addison-Wesley, 2004, ISBN: 0201709457
Other Sources 2. Software Quality: Producing Practical, Consistent Software, by Ben-Menachem M, and Marliss G.S., Thompson Computer Press, ISBN: 1-85032-326-7, 1997.
3. Metrics and Models in Software Quality Engineering, Kan S.H., , ISBN: 0201729156, Addison-Wesley, 2002.
4. Software Quality Management and ISO 9001, Jenner M., ISBN: 0471118885, John-Wiley & Sons, 1995.
5. Software Metrics: A Rigorous and Practical Approach, N.Fenton and Shari Pfleeger, ISBN: 0-534-95425-1, Thomson Computer Press, 1996,.
6. Software Engineering by Ian Sommerville (7th and 8th Edition) ISBN: 0-321-21026-3, Pearson (Addison Wesley), 2004 and 2006.
7. The Capability Maturity Model Report, M.C. Paulk et al., available at http://www.sei.cmu.edu/pub/documents/93.reports/

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 5
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 10
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 50
Final Exam/Final Jury 1 35
Toplam 6 100
Percentage of Semester Work 65
Percentage of Final Work 35
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 Has adequate knowledge in mathematics, science, and computer engineering-specific subjects; uses theoretical and practical knowledge in these areas to solve complex engineering problems.
2 Identifies, defines, formulates, and solves complex engineering problems; selects and applies appropriate analysis and modeling methods for this purpose.
3 Designs a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; applies modern design methods for this purpose.
4 Develops, selects, and uses modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; uses information technologies effectively. X
5 Designs experiments, conducts experiments, collects data, analyzes and interprets results for the investigation of complex engineering problems or research topics specific to the discipline of computer engineering.
6 Works effectively in disciplinary and multidisciplinary teams; gains the ability to work individually.
7 Communicates effectively in Turkish, both orally and in writing; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions.
8 Knows at least one foreign language; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions.
9 Has awareness of the necessity of lifelong learning; accesses information, follows developments in science and technology, and continuously improves oneself.
10 Acts in accordance with ethical principles and has awareness of professional and ethical responsibility.
11 Has knowledge about the standards used in computer engineering applications.
12 Has knowledge about workplace practices such as project management, risk management, and change management. X
13 Gains awareness about entrepreneurship and innovation.
14 Has knowledge about sustainable development.
15 Has knowledge about the health, environmental, and safety impacts of computer engineering applications in universal and societal dimensions and the contemporary issues reflected in the field of engineering.
16 Gains awareness of the legal consequences of engineering solutions.
17 Analyzes, designs, and expresses numerical computation and digital representation systems.
18 Uses programming languages and appropriate computer engineering concepts to solve computational problems. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 4 64
Presentation/Seminar Prepration
Project
Report
Homework Assignments 2 10 20
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 12 24
Prepration of Final Exams/Final Jury
Total Workload 156