FACULTY OF ENGINEERING

Department of Software Engineering

SE 460 | 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.

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
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 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 Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
1
20
Portfolio
Homework / Assignments
Presentation / Jury
Project
-
-
Seminar / Workshop
Oral Exams
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
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
15
3
45
Field Work
0
Quizzes / Studio Critiques
1
12
12
Portfolio
0
Homework / Assignments
-
0
Presentation / Jury
0
Project
-
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
20
20
Final Exam
1
25
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, Computer Science and Software Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

X
2

To be able to identify, define, formulate, and solve complex Software Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to design, implement, verify, validate, document, measure and maintain a complex software system, process, or product under realistic constraints and conditions, in such a way as to meet the requirements; ability to apply modern methods for this purpose.

X
4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in software engineering applications; to be able to use information technologies effectively.

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex Software Engineering problems.

6

To be able to work effectively in Software Engineering disciplinary and multi-disciplinary 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 be able 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 and software applications 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 and Software Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized 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

To be able to collect data in the area of Software Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)

12

To be able to speak a second foreign language 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 Software Engineering.

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

 


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