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 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 adequate knowledge in Mathematics, Science and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems.

X
2

To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques. 

X
4

To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently.

X
5

To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas.

X
6

To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both orally and in writing; 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 contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions.

X
9

To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice.

X
10

To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language.

X
12

To be able to speak a second foreign at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Industrial Engineering.

X

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