| Course Name |
Software Measurement
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
SE 460
|
FALL
|
3
|
0
|
3
|
5
|
| Prerequisites | None | |||||
| Course Language | English | |||||
| Course Type | ELECTIVE_COURSE | |||||
| Course Level | First Cycle | |||||
| Mode of Delivery | Face-To-Face | |||||
| Teaching Methods and Techniques of the Course |
Problem Solving Question Answer Lecture/Presentation |
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| National Occupational Classification Code | - | |||||
| Course Coordinator |
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| Course Lecturer(s) |
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| Assistant(s) | - | |||||
| Course Objectives | The aim of the SE460 course is to develop a common understanding among students regarding software measurement and metrics. The course covers topics such as software measurement, software quality, internal and external product characteristics, and goal-oriented measurement. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning Outcomes |
The students who succeeded in this course;
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| 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 |
-
|
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|
|
Core Courses |
|
| Major Area Courses |
X
|
|
| Supportive Courses |
|
|
| Media and Managment Skills Courses |
|
|
| Transferable Skill Courses |
|
| Week | Subjects | Required Materials | Learning Outcome |
| 1 | Introduction | Fenton and Bieman ch.1 | LO1 |
| 2 | The basics of measurement | Fenton and Bieman ch.2 | LO1 |
| 3 | Goal-based framework for measurement | Fenton and Bieman ch.3 | LO2 |
| 4 | Empirical investigation | Fenton and Bieman ch.4 | LO2 |
| 5 | Software measurement process | ISO 15939 | LO3 |
| 6 | Software metrics data collection | Fenton and Bieman ch.5 | LO3 |
| 7 | Measuring internal product attributes: Size | Fenton and Bieman ch.8 | LO3 |
| 8 | Midterm | - | |
| 9 | Measuring internal product attributes: Size | Fenton and Bieman ch.8 | LO3 |
| 10 | Measuring internal product attributes: Structures | Fenton and Bieman ch.9 Chidamber and Kemerer | LO3 |
| 11 | Measuring external product attributes | Fenton and Bieman ch.10 ISO/IEC 9126 and ISO/IEC 25010 | LO3 |
| 12 | Measuring external product attributes | Fenton and Bieman ch.10 ISO/IEC 9126 and ISO/IEC 25010 | LO3 |
| 13 | Software reliability | Fenton and Bieman ch.11 | LO4 |
| 14 | Software measurement industry standards | Lecturer notes | LO5 |
| 15 | General evaluation | - | |
| 16 | Final exam | - |
| 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/. |
| Semester Activities | Number | Weighting | LO1 | LO2 | LO3 | LO4 | LO5 |
| Homework / Assignments | 1 | 10 | X | X | |||
| Midterm | 1 | 40 | X | X | X | ||
| Final Exam | 1 | 50 | X | X | X | X | X |
| Total | 3 | 100 |
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Participation | - | - | - |
| Theoretical Course Hours | 16 | 3 | 48 |
| Laboratory / Application Hours | - | - | - |
| Study Hours Out of Class | 15 | 3 | 45 |
| Field Work | - | - | - |
| Quizzes / Studio Critiques | - | - | - |
| Portfolio | - | - | - |
| Homework / Assignments | 1 | 10 | 10 |
| Presentation / Jury | - | - | - |
| Project | - | - | - |
| Seminar / Workshop | - | - | - |
| Oral Exams | - | - | - |
| Midterms | 1 | 20 | 20 |
| Final Exam | 1 | 27 | 27 |
| Total | 150 |
| # | PC Sub | Program Competencies/Outcomes | * Contribution Level | ||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 |
Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems. |
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| 1 |
Mathematics |
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| 2 |
Science |
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| 3 |
Basic Engineering |
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| 4 |
Computation |
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| 5 |
Related engineering discipline-specific topics |
LO5 | LO4 | LO2 | LO1 | ||
| 6 |
The ability to apply this knowledge to solve complex engineering problems |
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| 2 |
Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed. |
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| 3 |
Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions. |
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| 1 |
Ability to design creative solutions to complex engineering problems |
LO3 | |||||
| 2 |
Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions |
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| 4 |
Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations. |
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| 5 |
Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results. |
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| 1 |
Literature research for the study of complex engineering problems |
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| 2 |
Designing experiments |
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| 3 |
Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results |
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| 6 |
Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions. |
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| 1 |
Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals |
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| 2 |
Awareness of the legal implications of engineering solutions |
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| 7 |
Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity. |
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| 1 |
Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility |
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| 2 |
Awareness of being impartial and inclusive of diversity, without discriminating on any subject |
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| 8 |
Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid). |
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| 1 |
Ability to work individually and within the discipline |
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| 2 |
Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid) |
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| 9 |
Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues. |
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| 1 |
Ability to communicate verbally |
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| 2 |
Ability to communicate effectively in writing |
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| 10 |
Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation. |
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| 1 |
Knowledge of business practices such as project management and economic feasibility analysis |
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| 2 |
Awareness of entrepreneurship and innovation |
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| 11 |
Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes. |
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*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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