MANAGEMENT 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 | 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) | Build up a body of knowledge in mathematics, science and engineering subjects; use theoretical and applied information in these areas to model and solve engineering problems. | |
2) | identify, formulate, and solve complex engineering problems; select and apply proper analysis and modeling methods for this purpose. | |
3) | Design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; 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) | Devise, select, and use modern techniques and tools needed for engineering management practice; employ information technologies effectively. | |
5) | Design and conduct experiments, collect data, analyze and interpret results for investigating engineering management problems. | |
6) | Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working independently. | |
7) | Demonstrate effective communication skills in both oral and written English and Turkish. | |
8) | Recognize the need for lifelong learning; show ability to access information, to follow developments in science and technology, and to continuously educate him/herself. | |
9) | Develop an awareness of professional and ethical responsibility. | |
10) | Know business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. | |
11) | Know contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; recognize the legal consequences of engineering solutions. | |
12) | Develop effective and efficient managerial skills. |