Ders Planı

Lesson Information

Course Credit
Course ECTS Credit
Teaching Language of Instruction	İngilizce
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?
Course Coordinator	Assist. Prof. Dr. HASAN ÇİFCİ
Instructor (s)
Course Assistant

Purpose and Content

The aim of the course	Aims to equip students with the ability to quantitatively assess and improve the quality of software engineering processes and products. The objectives include understanding the theoretical underpinnings of software metrics, learning how to effectively apply these metrics in real-world scenarios, and developing skills in analyzing and interpreting data to inform decision-making in software development.
Course Content	This course covers a comprehensive range of topics in software metrics. Starting with the fundamental principles and methodologies of software measurement, it delves into various types of metrics, including process, project, and product metrics. The course also explores the application of these metrics in assessing software quality, productivity, and performance. Students will learn about metric analysis techniques, the use of tools for metric collection and analysis, and best practices for implementing metrics in software development projects. Case studies and practical exercises are integrated to provide real-world context and application.

The aim of the course

Aims to equip students with the ability to quantitatively assess and improve the quality of software engineering processes and products. The objectives include understanding the theoretical underpinnings of software metrics, learning how to effectively apply these metrics in real-world scenarios, and developing skills in analyzing and interpreting data to inform decision-making in software development.

Course Content

This course covers a comprehensive range of topics in software metrics. Starting with the fundamental principles and methodologies of software measurement, it delves into various types of metrics, including process, project, and product metrics. The course also explores the application of these metrics in assessing software quality, productivity, and performance. Students will learn about metric analysis techniques, the use of tools for metric collection and analysis, and best practices for implementing metrics in software development projects. Case studies and practical exercises are integrated to provide real-world context and application.

Learning Outcomes

Adequate knowledge in mathematics, physical sciences and the engineering subjects of individual branches; the ability to implement theoretical and practical knowledge in the respective areas to modeling and solving engineering problems.
Ability to identify, define, formulate and solve complex engineering problems; ability to select and implement the appropriate analysis and modeling methods in this respect.
Ability to design and conduct experiments for analyzing engineering problems or research subjects specific to the discipline, to collect data, to analyze and interpret the results.
Ability to use, choose and develop modern techniques and means required for engineering applications; ability to use information technologies effectively.
An ability to design and conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research topics.
Awareness of the necessity of lifelong learning; ability to reach information, follow the latest developments in science and technology; ability to ensure self-renewal perpetually.
Acting in line with ethical principles, sense of professional and ethical responsibility; knowledge on the standards of engineering applications.
Ability to work effectively in interdisciplinary and multi-disciplinary teams and individual works.
Information about the effects of engineering applications on health, environment and safety in terms of universal and social aspects and information about the problems of the era; awareness about the legal results of engineering solutions.
Ability to communicate efficiently both in oral and written ways in Turkish; knowledge of at least one foreign language; ability to effectively prepare reports and understand written reports, prepare design and production reports, effective presentation, giving and receiving clear and understandable instructions.
Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development.

Weekly Course Subjects

1	Introduction to Software Metrics and Measurement Theory
2	Fundamentals of Process Metrics
3	Project Metrics and Management
4	Product Metrics and Quality Attributes
5	Data Collection Techniques for Software Metrics
6	Analysis and Interpretation of Software Metrics
7	Tools and Techniques for Metric Collection
8	Software Quality Models and Assessment
9	Case Studies in Process Improvement Using Metrics
10	Metrics for Software Maintenance and Evolution
11	Agile Metrics and Performance Indicators
12	Advanced Topics in Software Metrics
13	Ethical Considerations and Challenges in Software Metrics
14	Course Review

Resources

1- Norman Fenton, Software Metrics: A Rigorous and Practical Approach.

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CLASS 4

Lesson Information

Purpose and Content

Learning Outcomes

Weekly Course Subjects

Resources

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