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
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 Measuring internal product attributes: Size Fenton and Bieman, ch 8
9 Midterm exam
10 Measuring internal product attributes: Structures Fenton and Bieman, ch.9 Chidamber and Kemerer
11 Measuring internal 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 Review of the Semester  
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 Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
-
-
Portfolio
Homework / Assignments
1
20
Presentation / Jury
Project
-
-
Seminar / Workshop
Oral Exam
Midterm
1
40
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
2
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
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
1
12
Presentation / Jury
Project
-
Seminar / Workshop
Oral Exam
Midterms
1
20
Final Exams
1
25
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To have knowledge in Mathematics, science, physics knowledge based on mathematics; mathematics with multiple variables, differential equations, statistics, optimization and linear algebra; to be able to use theoretical and applied knowledge in complex engineering problems

2

To be able to identify, define, formulate, and solve complex mechatronics engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose.

3

To be able to design a complex electromechanical system, process, device or product with sensor, actuator, control, hardware, and software to meet specific requirements under realistic constraints and conditions; to be able to apply modern design methods for this purpose.

4

To be able to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Mechatronics Engineering applications; to be able to use information technologies effectively.

5

To be able to design, conduct experiments, collect data, analyze and interpret results for investigating Mechatronics Engineering problems.

6

To be able to work effectively in Mechatronics Engineering disciplinary and multidisciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both in oral and written forms; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; information on standards used in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

Using a foreign language, he collects information about Mechatronics Engineering and communicates with his colleagues. ("European Language Portfolio Global Scale", Level B1)

12

To be able to use the second foreign language at intermediate level.

13

To recognize the need for lifelong learning; to be able to access information; to be able to follow developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Mechatronics Engineering.

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