Software Engineering (English)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

SWE314

Course Name:

Software Validation and Testing

Course Semester:

Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	7

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Prof. Dr. BEKİR TEVFİK AKGÜN

Course Lecturer(s):

Prof. Dr. SEMİH BİLGEN

Course Assistants:

Course Objective and Content

Course Objectives:	This course will address topics in the verification and validation (V&V) of software. Verification addresses issues related to whether the system is correct (with respect to some specification), validation addresses the question whether the right system was built. An in depth study of verification and validation strategies and techniques as they apply to the development of quality software.
Course Content:	Topics include test planning and management, testing tools, technical reviews, formal methods and the economics of software testing. The relationship of testing to other quality assurance activities as well as the integration of verification and validation into the overall software development process are also discussed.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Understand the role and importance of software quality assurance in software verification
2) Understand the role and importance of software inspection in software verification
3) Understand the concepts and theory related to software testing
4) Understand different testing techniques used in designing test plans, developing test suites, and evaluating test suite coverage
5) Understand the relationship between black-box and white-box testing and know how to apply as appropriate
2 - Skills
Cognitive - Practical
1) Be able to perform peer reviews and inspections for defect prevention.
2) Be able to design test cases based on different testing methods.
3 - Competences
Communication and Social Competence
1) Be able to communicate with other member of V&V team in order to conduct an efficient V&V process.
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility
1) Be able to follow the process of V&V

Lesson Plan

Week	Subject	Related Preparation
1)	Course Organization	None
2)	Motivation for Software Verification and Validation	None
3)	Software Quality Models; Software Reliability	None
4)	Finite models, dependency and data flow models	None
5)	Software Testing Levels	None
6)	Test Automation Framework (JUnit); Test Case Selection and Adequacy	None
7)	Functional Testing	None
8)	Midterm	None
9)	Combinatorial Testing	None
10)	Finite Models	None
11)	Dependence and dataflow models; Structural Testing - Coverage Metrics	None
12)	Structural Testing - Dataflow Testing	None
13)	Process; Test-Driven Development	None
14)	Model Checking; Summary	None
15)	Final Exam	None

Sources

Course Notes / Textbooks:	Software Verification and Validation for Practitioners and Managers, by Steven R. Raktitin, ed. Artech House, 2nd Edition, ISBN 1-58053-296-9, 2001,
References:	None

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5	6	7	8	9
Program Outcomes
1) Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
2) Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
3) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
4) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
5) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
6) Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge.
8) Yaşam boyu öğrenmenin gerekliliği bilinci; bilgiye erişebilme, bilim ve teknolojideki gelişmeleri izleme ve kendini sürekli yenileme becerisi.
9) Professional and ethical responsibility.
10) Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions.
11) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.

Course - Learning Outcome Relationship

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

	Program Outcomes	Level of Contribution
1)	Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
2)	Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.	1
3)	The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.	4
4)	The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)	2
5)	Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
6)	Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.	5
7)	Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge.
8)	Yaşam boyu öğrenmenin gerekliliği bilinci; bilgiye erişebilme, bilim ve teknolojideki gelişmeleri izleme ve kendini sürekli yenileme becerisi.
9)	Professional and ethical responsibility.
10)	Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions.	3
11)	The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.

Learning Activity and Teaching Methods

Expression
Brainstorming/ Six tihnking hats
Group study and homework
Reading
Project preparation
Report Writing

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Group project
Reporting

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Project	1	% 20
Midterms	1	% 20
Final	1	% 40
Paper Submission	1	% 20
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Project	1	30	30
Midterms	1	20	20
Paper Submission	1	20	20
Final	1	40	40
Total Workload			152