MOLECULAR BIOLOGY AND GENETICS | |||||
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 | Spring | 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) | Utilize the wealth of information stored in computer databases to answer basic biological questions and solve problems such as diagnosis and treatment of diseases. | 3 |
2) | Acquire an ability to compile and analyze biological information, clearly present and discuss the conclusions, the inferred knowledge and the arguments behind them both in oral and written format. | 4 |
3) | Develop critical, creative and analytical thinking skills. | 5 |
4) | Develop effective communication skills and have competence in scientific speaking, reading and writing abilities in English and Turkish. | 3 |
5) | Gain knowledge of different techniques and methods used in genetics and acquire the relevant laboratory skills. | 4 |
6) | Detect biological problems, learn to make hypothesis and solve the hypothesis by using variety of experimental and observational methods. | 4 |
7) | Gain knowledge of methods for collecting quantitative and qualitative data and obtain the related skills. | 3 |
8) | Conduct research through paying attention to ethics, human values and rights. Pay special attention to confidentiality of information while working with human subjects. | 5 |
9) | Obtain basic concepts used in theory and practices of molecular biology and genetics and establish associations between them. | 4 |
10) | Search and use literature to improve himself/herself and follow recent developments in science and technology. | 5 |
11) | Be aware of the national and international problems in the field and search for solutions. | 4 |