ARTIFICIAL INTELLIGENCE 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)	Have sufficient background in mathematics, science and artificial intelligence engineering.
2)	Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3)	Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4)	Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5)	Select and use modern techniques and tools necessary for engineering applications.
6)	Design and conduct experiments, collect data, and analyse and interpret results.
7)	Work effectively both as an individual and as a multi-disciplinary team member.
8)	Access information via conducting literature research, using databases and other resources
9)	Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10)	Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11)	Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12)	Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13)	Have a sense of professional and ethical responsibility.
14)	Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.