ELECTRICAL AND ELECTRONICS ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
SEN4011 | Software Measurement and Testing | Spring Fall |
3 | 0 | 3 | 6 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Dr. Öğr. Üyesi BETÜL ERDOĞDU ŞAKAR |
Course Lecturer(s): |
Dr. Öğr. Üyesi BETÜL ERDOĞDU ŞAKAR |
Recommended Optional Program Components: | None |
Course Objectives: | The students will have the ability of applying the principles of software measurement to plan software projects to monitor how well projects are being carried out. The students can also prepare test cases to test the developed applications in software projects at the end of the course. |
The students who have succeeded in this course; 1. Define the terminology of software measurement and test and describe software measurement tools 2. Define goal based measurement and related metrics 3. Describe measurement models, scales and metrics 4. Measure physical software size and express functionality of a software 5. Identify the structural complexity of a software 6. Evaluate effort estimations and task durations in a software development project 7. Define software reliability models 8. Define software testing basics and principles 9. Identify origins of defects and defect classes 10. Apply black box and white box testing techniques in a software development project |
The course content is composed of software measurement basics, goal based measurement, measurement theory, measuring software size, measuring complexity, estimating effort, measuring software reliability, software testing principles, defects and tests, black box testing strategies, white box testing strategies. |
Week | Subject | Related Preparation |
1) | Introduction | |
2) | Software Measurement Basics | |
3) | Goal Based Measurement | |
4) | Measurement Theory | |
5) | Measuring Software Size | |
6) | Measuring Complexity | |
7) | Estimating Effort | |
8) | Measuring Software Reliability | |
9) | Software Testing Principles | |
10) | Defects and Tests | |
11) | Black Box Testing Strategies | |
12) | Black Box Testing Strategies | |
13) | White Box Testing Strategies | |
14) | White Box Testing Strategies |
Course Notes / Textbooks: | Lonnie D. Bentley and Jeffrey L. Whitten, Systems Analysis & Design for the Global Enterprise 7ed, McGraw Hill, 2007, ISBN-13 978-0-07-110766-2 |
References: | Yok |
Semester Requirements | Number of Activities | Level of Contribution |
Project | 1 | % 25 |
Midterms | 1 | % 35 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 35 | |
PERCENTAGE OF FINAL WORK | % 65 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 5 | 7 | 35 |
Project | 1 | 20 | 20 |
Midterms | 1 | 20 | 20 |
Final | 1 | 21 | 21 |
Total Workload | 138 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Adequate knowledge in mathematics, science and electric-electronic engineering subjects; ability to use theoretical and applied information in these areas to model and solve engineering problems. | |
2) | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | |
3) | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.) | |
4) | Ability to devise, select, and use modern techniques and tools needed for electrical-electronic engineering practice; ability to employ information technologies effectively. | |
5) | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems. | |
6) | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | |
7) | Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. | |
8) | Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | |
9) | Awareness of professional and ethical responsibility. | |
10) | Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development. | |
11) | Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions. |