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 3 0 0 3 7
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 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 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
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;
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 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