Graduate
Institute of Graduate Studies
Computer Engineering
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Computer Engineering Main Page / Program Curriculum / Software Quality & Testing (Not offered.)

Software Quality & Testing (Not offered.)

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
CSE0557 Software Quality & Testing (Not offered.) 3/0/0 DE Turkish 9
Course Goals
This graduate course on Software Engineering topic may be considered as a second course on Software Engineering; After taking  at least one “Software Engineering”.
Prerequisite(s) CSE0364 or CSE0461
Corequisite(s) N/A
Special Requisite(s)
Instructor(s) Assoc. Prof. Çağatay ÇATAL
Course Assistant(s)
Schedule Day, hours, XXX Campus, classroom number.
Office Hour(s) Instructor name, day, hours, XXX Campus, office number.
Teaching Methods and Techniques
Principle Sources  Elfriede Dustin, Thom Garrett and Bernie Gauf ; Implementing Automated Software Testing: How to Save Time and Lower Costs While Raising Quality ; Addison-Wesley Professional 2009, 368 pages ; ISBN-13: 978-0321580511 
  Elfriede Dustin; Effective Software testing : 50 specific  ways to Improve your testing;  Addison Wesley 2003; ISBN 0-201-79429-2    Hans van Vliet ; Software Engineering: Principles and Practice ; Wiley  2008, third edition; 740 pages; ISBN-10: 0470031468 | ISBN-13: 978-0470031469    Also  a list of IEEE std  and ISO standard will be given.. (IEEE std 829:2008, IEEE- std 1028 , 2008; IEEE std 1044 : 2009;  
Other Sources
Course Schedules
Week Contents Learning Methods
1. Week quality in system & software engineering;
2. Week COCOMO software type classification; COCOMO RELY parameter; which sigma level is essential for various type of software; ;
3. Week introduction to McCabe Algorithm Complexity ; Cyclomatic Complexity and estimation of independent path count of a component ; data dependent testing and data dependent reliability model
4. Week ; alpha, beta and acceptance test; introduction to V-model ;
5. Week time dependent reliability model ;
6. Week Software Test Documentation (IEEE std 829:2008);
7. Week psychological bases for software reviews and software inspections ;
8. Week Software Review and Audit definitions ( IEEE- std 1028 , 2008 );
9. Week Midterm exam (tentative week )
10. Week Standard Classification for Software Anomalies ( IEEE std 1044 : 2009 );
11. Week SQuaRE ( ISO 250xx group );
12. Week Independent Validation & Verification Concept ;
13. Week Software Size Metrics for definition of "software quality";
14. Week Course will be supported with bi-weekly labs & project and last week is reserved for student presentation
15. Week
16. Week
17. Week
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 27
Attendance 1 6
Laboratory 1 27
Final Exam 1 40


Program Outcomes
PO-1an ability to apply knowledge from undergraduate and graduate engineering and other disciplines to identify, formulate, and solve novel and complex electrical/computer engineering problems that require advanced knowledge within the field
PO-2knowledge of advanced topics within at least two subdisciplines of computer engineering
PO-3the ability to understand and integrate new knowledge within the field;
PO-4the ability to apply advanced technical knowledge in multiple contexts
PO-5a recognition of the need for, and an ability to engage in, life-long learning
PO-6the ability to plan and conduct an organized and systematic study on a significant topic within the field
PO-7an ability to convey technical material through formal written reports which satisfy accepted standards for writing style
PO-8the ability to analyze and use existing literature
PO-9the ability to demonstrate effective oral communication skills
PO-10the ability to stay abreast of advancements in the area of computer engineering
Learning Outcomes
LO-1 This course will discuss features of System and Software Quality; Evaluation Methods for design documents; international standards for system and software quality ( ieee, iso, and DoD) ; Software testing types, tools and applied methods..
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10
LO 1