ECTS - Software Measurement
Software Measurement (SE577) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Software Measurement | SE577 | Area Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Software Engineering Elective Courses |
| Course Level | Natural & Applied Sciences Master's Degree |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture. |
| Course Lecturer(s) |
|
| Course Objectives | The objective of this course is to introduce foundations of measurement theory, core concepts in measurement process and to equip students with working knowledge on models, measures and practices used in software engineering. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Measurement theory; measure design and validation; measurement requirements; measurement process; techniques and tools for software measurement; measurement frameworks; measurement management; project, organization, product, service and quality measurement; ISO measurement standards; software estimation; software measurement repositories. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Measurement Theory | Abran, Fenton |
| 2 | Measurement Process I | Abran, Fenton |
| 3 | Measurement Process II | Abran, Fenton |
| 4 | Measurement Frameworks | Abran, Fenton, Park |
| 5 | Measurement in an Organization -GQM and ISO 15939 | Abran, Fenton, Park |
| 6 | Process Measurement | Abran, Fenton |
| 7 | Midterm | |
| 8 | Product Measurement | Abran, Fenton |
| 9 | Service Measurement | Abran, Fenton |
| 10 | Quality and Measurement | Abran, Fenton |
| 11 | Measurement for Software Management I | Abran, Fenton, Han |
| 12 | Measurement for Software Management II | Abran, Fenton, Han |
| 13 | Measurement Management | Abran, Fenton, Park |
| 14 | Measurement Repositories | Abran, Fenton, Park |
| 15 | Measurement Tools | Fenton, Park |
| 16 | In-Class Assignments |
Sources
| Course Book | 1. A. Abran, Software metrics and software metrology. New Jersey: IEEE Com-puter Society / Wiley Partnership, 2010. |
|---|---|
| 2. Fenton, Norman E., and Shari Lawrence Pfleeger. Software metrics: a rigor-ous and practical approach. PWS Publishing Co., 1998. | |
| Other Sources | 3. Kan, Stephen H. Metrics and models in software quality engineering. Addi-son-Wesley Longman Publishing Co., Inc., 2002. |
| 4. Linda M. Laird,M.. Carol Brennan, Software Measurement and Estimation: A Practical Approach, 2006, IEEE | |
| 5. Park, Robert E., Wolfhart B. Goethert, and William A. Florac. Goal-Driven Software Measurement. A Guidebook. No. CMU/SEI-96-HB-002. CARNEGIE-MELLON UNIV PITTSBURGH PA SOFTWARE ENGINEERING INST, 1996. | |
| 6. Ebert, Christof, ed. Best Practices in Software Measurement: How to Use Metrics to Improve Project and Process Performance; 37 Tables. Springer, 2005. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 3 | 30 |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 30 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 5 | 100 |
| Percentage of Semester Work | 60 |
|---|---|
| Percentage of Final Work | 40 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | |
| Supportive Courses | X |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | An ability to apply advanced knowledge of computing and/or informatics to solve software engineering problems. | X | ||||
| 2 | Develop solutions using different technologies, software architectures and life-cycle approaches. | X | ||||
| 3 | An ability to design, implement and evaluate a software system, component, process or program by using modern techniques and engineering tools required for software engineering practices. | X | ||||
| 4 | An ability to gather/acquire, analyze, interpret data and make decisions to understand software requirements. | X | ||||
| 5 | Skills of effective oral and written communication and critical thinking about a wide range of issues arising in the context of working constructively on software projects. | X | ||||
| 6 | An ability to access information in order to follow recent developments in science and technology and to perform scientific research or implement a project in the software engineering domain. | X | ||||
| 7 | An understanding of professional, legal, ethical and social issues and responsibilities related to Software Engineering. | X | ||||
| 8 | Skills in project and risk management, awareness about importance of entrepreneurship, innovation and long-term development, and recognition of international standards of excellence for software engineering practices standards and methodologies. | X | ||||
| 9 | An understanding about the impact of Software Engineering solutions in a global, environmental, societal and legal context while making decisions. | X | ||||
| 10 | Promote the development, adoption and sustained use of standards of excellence for software engineering practices. | X | ||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 6 | 96 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 3 | 10 | 30 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 15 | 15 |
| Prepration of Final Exams/Final Jury | 1 | 30 | 30 |
| Total Workload | 219 | ||