COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Software Measurement
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
SE 460
Fall/Spring
3
0
3
5
Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The objective of this course is to provide students a common understanding of the field of software measures and software measurement. This course covers topics that include software measurement framework, measuring software quality, internal and external product attributes, and goal question measurement.
Learning Outcomes The students who succeeded in this course;
  • be able to define impotency and difficulties of software measurement activity
  • be able to asses basic and advanced software measurement concepts
  • be able to identify to measure a software product
  • be able to relate software measurement to software life cycle stops
  • be able to select the industrial standards related with software measures.
Course Description This course addresses software measures. Software measurement is playing an increasingly important role in software engineering since this discipline is becoming an engineering discipline. It is necessary then to address techniques of measurement in the context of the engineering disciplines.
Related Sustainable Development Goals

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction Fenton and Bieman, ch.1
2 The basics of measurement Fenton and Bieman, ch.2
3 Goal-based framework for measurement Fenton and Bieman, ch.3
4 Empirical investigation Fenton and Bieman, ch.4
5 Software measurement process ISO/IEC 15939
6 Software metrics data collection Fenton and Bieman, ch.5
7 Measuring internal product attributes: Size Fenton and Bieman, ch 8
8 Midterm exam
9 Measuring internal product attributes: Size Fenton and Bieman, ch 8
10 Measuring internal product attributes: Structures Fenton and Bieman, ch.9 Chidamber and Kemere
11 Measuring external product attributes Fenton and Bieman, ch.10 ISO/IEC 9126 and ISO/IEC 25010
12 Measuring internal product attributes Fenton and Bieman, ch.10 ISO/IEC 9126 and ISO/IEC 25010
13 Software reliability Fenton and Bieman, ch 11
14 Software measurement industry standards -
15 General evaluation
16 -
Course Notes/Textbooks

Fenton and Bieman, Software Metrics: A Rigorous Practical Approach, 3rd ed., CRC Press, 2015.

Suggested Readings/Materials

Imagix 4D is an industry-standard tool for source code analysis, static code analysis, software metrics and documentation.

Kan S., Metrics and Models in Software Quality Engineering, 2nd ed, Addison-Wesley, 2003. 

ISO/IEC 15939: 2007. System and Software Engineering Measurement Process, International Organization for Standardization, 2007. 

ISO/IEC 9126-1: Software Engineering – Product Quality – Part 1: Quality model, International Organization for Standardization, 1999. 

Guide to the Software Engineering Body of Knowledge. v3.0, IEEE, 2014. 

Sommerville, Software Engineering, 10e, Addison-Wesley, 2016. 

The Common Software Measurement International Consortium, http://www.cosmicon.com/. 

Chidamber and Kemerer, A Metrics Suite for Object-Oriented Design, IEEE Transactions on Software Engineering, Vol. 20, No. 6, June 1994.

 

EVALUATION SYSTEM

Semester Activities Number Weighting
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
-
-
Seminar / Workshop
Oral Exam
Midterm
1
40
Final Exam
1
60
Total

Weighting of Semester Activities on the Final Grade
1
40
Weighting of End-of-Semester Activities on the Final Grade
1
60
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
15
3
45
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
-
Presentation / Jury
Project
-
Seminar / Workshop
Oral Exam
Midterms
1
20
Final Exams
1
25
    Total
138

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computer computation, and topics specific to related engineering disciplines; the ability to use this knowledge in solving complex engineering problems

X
2

Problem Analysis: The ability to define, formulate, and analyze complex engineering problems by using fundamental science, mathematics, and engineering knowledge, while considering the relevant UN Sustainable Development Goals (SDGs) related to the problem.

X
3

Engineering Design: The ability to design creative solutions to complex engineering problems; the ability to design complex systems, processes, devices, or products that meet present and future requirements, considering realistic constraints and conditions.

X
4

Use of Techniques and Tools: The ability to select and use appropriate techniques, resources, and modern engineering and information technology tools, including prediction and modeling, for the analysis and solution of complex engineering problems, while being aware of their limitations

X
5

Research and Investigation: The ability to use research methods, including literature review, designing experiments, conducting experiments, collecting data, analyzing and interpreting results, for the investigation of complex engineering problems.

6

Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the scope of the UN Sustainable Development Goals (SDGs); awareness of the legal consequences of engineering solutions

7

Ethical Behavior: Acting in accordance with the principles of the engineering profession; knowledge of ethical responsibility; awareness of acting impartially and inclusively, without discrimination in any matter. (FENG101)

8

Individual and Team Work: The ability to work effectively as an individual and as a member or leader of both intra-disciplinary and interdisciplinary teams (whether face-to-face, remote, or hybrid).

9

Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession), particularly in technical matters.

10

Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.

11

Lifelong Learning: The ability to learn independently and continuously, adapt to new and emerging technologies, and think critically about technological changes.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest