Software Measurement (SE577) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Software Measurement SE577 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
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 foundations of measurement theory, core concepts in measurement process and to equip students with working knowledge on models, measures and practices used in software engineering.
Course Learning Outcomes The students who succeeded in this course;
  • An ability to apply advanced knowledge of computing and/or informatics to solve software engineering problems.
  • Develop solutions using different technologies, software architectures and life-cycle approaches.
  • An ability to design, implement and evaluate a software system, component, process or program by using modern techniques and engineering tools required for software engineering practices.
  • An ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements.
  • Skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects.
  • An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain.
  • An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering.
  • Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies.
  • An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions.
  • Promote the development, adoption and sustained use of standards of excellence for software engineering practices.
Course Content Measurement theory; measure design and validation; measurement requirements; measurement process; techniques and tools for software measurement; measurement frameworks; measurement management; project, organization, product, service and quality measurement; ISO measurement standards; software estimation; software measurement repositories.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Measurement Theory Abran, Fenton
2 Measurement Process I Abran, Fenton
3 Measurement Process II Abran, Fenton
4 Measurement Frameworks Abran, Fenton, Park
5 Measurement in an Organization -GQM and ISO 15939 Abran, Fenton, Park
6 Process Measurement Abran, Fenton
7 Midterm
8 Product Measurement Abran, Fenton
9 Service Measurement Abran, Fenton
10 Quality and Measurement Abran, Fenton
11 Measurement for Software Management I Abran, Fenton, Han
12 Measurement for Software Management II Abran, Fenton, Han
13 Measurement Management Abran, Fenton, Park
14 Measurement Repositories Abran, Fenton, Park
15 Measurement Tools Fenton, Park
16 In-Class Assignments


Course Book 1. A. Abran, Software metrics and software metrology. New Jersey: IEEE Com-puter Society / Wiley Partnership, 2010.
2. Fenton, Norman E., and Shari Lawrence Pfleeger. Software metrics: a rigor-ous and practical approach. PWS Publishing Co., 1998.
Other Sources 3. Kan, Stephen H. Metrics and models in software quality engineering. Addi-son-Wesley Longman Publishing Co., Inc., 2002.
4. Linda M. Laird,M.. Carol Brennan, Software Measurement and Estimation: A Practical Approach, 2006, IEEE
5. Park, Robert E., Wolfhart B. Goethert, and William A. Florac. Goal-Driven Software Measurement. A Guidebook. No. CMU/SEI-96-HB-002. CARNEGIE-MELLON UNIV PITTSBURGH PA SOFTWARE ENGINEERING INST, 1996.
6. Ebert, Christof, ed. Best Practices in Software Measurement: How to Use Metrics to Improve Project and Process Performance; 37 Tables. Springer, 2005.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 3 30
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 5 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses
Major Area Courses X
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 An ability to apply knowledge of mathematics, science, and engineering. X
2 An ability to design and conduct experiments, as well as to analyze and interpret data. X
3 An ability to design a system, component, or process to meet desired needs. X
4 An ability to function on multi-disciplinary domains. X
5 An ability to identify, formulate, and solve engineering problems.
6 An understanding of professional and ethical responsibility.
7 An ability to communicate effectively.
8 Recognition of the need for, and an ability to engage in life-long learning.
9 A knowledge of contemporary issues. X
10 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. X
11 Skills in project management and recognition of international standards and methodologies X
12 An ability to produce engineering products or prototypes that solve real-life problems. X
13 Skills that contribute to professional knowledge.
14 An ability to make methodological scientific research.
15 An ability to produce, report and present an original or known scientific body of knowledge.
16 An ability to defend an originally produced idea.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class 16 6 96
Presentation/Seminar Prepration
Homework Assignments 3 10 30
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 15 15
Prepration of Final Exams/Final Jury 1 30 30
Total Workload 219