COMPUTER ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
SEN4011	Software Measurement and Testing	Spring	3	0	3	6

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

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.

Learning Outcomes

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

Course Content

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.

Weekly Detailed Course Contents

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

Sources

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

Evaluation System

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

ECTS / Workload Table

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

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2)	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.	2
3)	Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.	3
4)	Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively.
5)	Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics.	3
6)	Ability to work effectively within and multi-disciplinary teams; individual study skills.	2
7)	Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9)	To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10)	Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11)	Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.