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SECTION I: GENERAL INFORMATION ABOUT THE COURSE

Course Code Course Name Year Semester Theoretical Practical Credit ECTS
70619MEEOS-CME0295 Software Reliability 1 Spring 3 0 3 6
Course Type : Departmental Elective
Cycle: Master      TQF-HE:7. Master`s Degree      QF-EHEA:Second Cycle      EQF-LLL:7. Master`s Degree
Language of Instruction: English
Prerequisities and Co-requisities: N/A
Mode of Delivery:
Name of Coordinator: Dr. Öğr. Üyesi DUYGU DEMİRAY AKKAYA
Dersin Öğretim Eleman(lar)ı: Dr. Öğr. Üyesi DUYGU DEMİRAY AKKAYA
Dersin Kategorisi:

SECTION II: INTRODUCTION TO THE COURSE

Course Objectives & Content

Course Objectives: This course aims to equip students with the skills and knowledge necessary to design, develop, and test software systems that are reliable, efficient, and effective.
Course Content: By the end of this course, students should be able to identify software errors and defects, measure software reliability, and apply software reliability engineering techniques to improve the reliability of software systems. Furthermore, students should be able to analyze and evaluate the trade-offs between reliability, cost, and other factors when designing and developing software systems. Overall, the course aims to provide a comprehensive understanding of the essential principles and techniques of software reliability.

Course Learning Outcomes (CLOs)

Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:
Knowledge (Described as Theoritical and/or Factual Knowledge.)
  1) Understand the concepts and principles of software reliability.
  2) Have knowledge of important terms and definitions related to software reliability.
  3) Ability to identify and classify software reliability issues.
  4) Basic knowledge of techniques to improve software reliability.
  5) Stay updated with current research and developments in software reliability.
Skills (Describe as Cognitive and/or Practical Skills.)
  1) Ability to analyze and diagnose software reliability issues.
  2) Apply software reliability testing and verification techniques.
  3) Skill in identifying and correcting software defects and weaknesses.
  4) Capability to perform risk analysis for software reliability.
  5) Competence in designing and developing critical systems from a reliability perspective.
Competences (Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)
  1) Capability to work independently on researching and solving software reliability issues.
  2) Ability to continuously update and enhance knowledge and skills in software reliability.
  3) Ability to understand and apply the requirements of the field in software reliability.
  4) Ability to communicate ideas and solutions in software reliability clearly and effectively.

Weekly Course Schedule

Week Subject
Materials Sharing *
Related Preparation Further Study
1) Introduction to Reliability
2) System and Software Reliability
3) Introduction to Quality Metrics of Computer Software Systems
4) Software Reliability Theory
5) Relationship Between Hardware and Software Reliability
6) Software Reliability Engineering Process
7) Software Reliability Models
8) Midterm Exam
9) Software Reliability Models
10) Prediction Analysis
11) Reliability & Testing
12) Software Reliability Tools
13) Latest Research Studies related to the topic
14) Review of Term
*These fields provides students with course materials for their pre- and further study before and after the course delivered.

Recommended or Required Reading & Other Learning Resources/Tools

Course Notes / Textbooks: Handbook of Software Reliability Engineering, M. R. Lyu, McGraw Hill, 1996.
http://www.cse.cuhk.edu.hk/~lyu/book/reliability/

Software Reliability Engineering: More Reliable Software Faster and Cheaper, J.D. Musa, Authorhouse, 2004.

Metrics and Models in Software Quality Engineering, S.H. Kan, Addison – Wesley Professional, 2002.

Lecture Notes

Selected Readings
References:

SECTION III: RELATIONSHIP BETWEEN COURSE UNIT AND COURSE LEARNING OUTCOMES (CLOs)

(The matrix below shows how the course learning outcomes (CLOs) associates with programme learning outcomes (both KPLOs & SPLOs) and, if exist, the level of quantitative contribution to them.)

Relationship Between CLOs & PLOs

(KPLOs and SPLOs are the abbreviations for Key & Sub- Programme Learning Outcomes, respectively. )
CLOs/PLOs KPLO 1 KPLO 2 KPLO 3 KPLO 4
1 1 1 2 3 4 5 1 2 3 4 5 6
CLO1
CLO1
CLO1
CLO2
CLO2
CLO2
CLO3
CLO3
CLO3
CLO4
CLO4
CLO4
CLO5
CLO5

Level of Contribution of the Course to PLOs

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Programme Learning Outcomes Contribution Level (from 1 to 5)
1) Owns advanced theoretical and applied knowledge in the field of computer science and engineering.
2) Performs advanced application and development in the field of computer science and engineering, reaches, evaluates and applies information.
3) Defines the problem, accesses data, uses knowledge from different disciplines, designs researches, designs system and process, develops solution methods in order to solve current problems in the field of computer science and engineering.
4) Has the necessary skills and competencies to perform his/her profession in the most effective way and to constantly improve himself/herself.

SECTION IV: TEACHING-LEARNING & ASSESMENT-EVALUATION METHODS OF THE COURSE

Teaching & Learning Methods of the Course

(All teaching and learning methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)
Teaching and Learning Methods defined at the Programme Level
Teaching and Learning Methods Defined for the Course
Lectures
Discussion
Case Study
Problem Solving
Demonstration
Views
Laboratory
Reading
Homework
Project Preparation
Thesis Preparation
Peer Education
Seminar
Technical Visit
Course Conference
Brain Storming
Questions Answers
Individual and Group Work
Role Playing-Animation-Improvisation
Active Participation in Class

Assessment & Evaluation Methods of the Course

(All assessment and evaluation methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)
Aassessment and evaluation Methods defined at the Programme Level
Assessment and Evaluation Methods defined for the Course
Midterm
Presentation
Final Exam
Quiz
Report Evaluation
Homework Evaluation
Oral Exam
Thesis Defense
Jury Evaluation
Practice Exam
Evaluation of Implementation Training in the Workplace
Active Participation in Class
Participation in Discussions

Relationship Between CLOs & Teaching-Learning, Assesment-Evaluation Methods of the Course

(The matrix below shows the teaching-learning and assessment-evaluation methods designated for the course unit in relation to the course learning outcomes.)
LEARNING & TEACHING METHODS
COURSE LEARNING OUTCOMES
ASSESMENT & EVALUATION METHODS
CLO1 CLO1 CLO1 CLO2 CLO2 CLO2 CLO3 CLO3 CLO3 CLO4 CLO4 CLO4 CLO5 CLO5
-Lectures -Midterm
-Discussion -Presentation
-Case Study -Final Exam
-Problem Solving -Quiz
-Demonstration -Report Evaluation
-Views -Homework Evaluation
-Laboratory -Oral Exam
-Reading -Thesis Defense
-Homework -Jury Evaluation
-Project Preparation -Practice Exam
-Thesis Preparation -Evaluation of Implementation Training in the Workplace
-Peer Education -Active Participation in Class
-Seminar - Participation in Discussions
-Technical Visit
-Course Conference
-Brain Storming
-Questions Answers
-Individual and Group Work
-Role Playing-Animation-Improvisation
-Active Participation in Class

Contribution of Assesment & Evalution Activities to Final Grade of the Course

Measurement and Evaluation Methods # of practice per semester Level of Contribution
Homework Assignments 2 % 20.00
Midterms 1 % 30.00
Semester Final Exam 1 % 50.00
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

SECTION V: WORKLOAD & ECTS CREDITS ALLOCATED FOR THE COURSE

WORKLOAD OF TEACHING & LEARNING ACTIVITIES
Teaching & Learning Activities # of Activities per semester Duration (hour) Total Workload
Course 14 3 42
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 3 42
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 2 10 20
Total Workload of Teaching & Learning Activities - - 104
WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES
Assesment & Evaluation Activities # of Activities per semester Duration (hour) Total Workload
Quizzes 0 0 0
Midterms 1 20 20
Semester Final Exam 1 30 30
Total Workload of Assesment & Evaluation Activities - - 50
TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities) 154
ECTS CREDITS OF THE COURSE (Total Workload/25.5 h) 6