Software Reliability and Reusability CS614

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1 Software Reliability and Reusability CS614

2 Assiut University Faculty of Computers & Information Quality Assurance Unit Software Reliability and Reusability Course Specifications Relevant program Master in Computers and Information (Computer Science) Department offers the program Computer Science Department offers the course Computer Science Academic year 1st Year Date of specification approval 24 / 9 / 2012 A. Basic Information 1. Course Title: Software Reliability and Reusability 2. Course Code:CS Course hours per week: Lecture Tutorial / Practical Total 2 2 B. Professional Information 1. Overall aims of the course Upon completing this course the student will have learned, through appropriate classroom and laboratory experiences, the following. Learning principles of reliability, reusability, initiatives, and standards in software engineering. Studying software reliability models and inherent characteristics of software that determine reliability.

3 2. Intended Learning Outcomes (ILOs) of the course a. Knowledge and Understanding On successful completion of the program, graduates should be able to: a1. Explain theories and fundamentals in Computer Science and related domains. a2. Outline the effective exchange between professional practices and their reflection on the environment. a3. Interpret scientific development in Computer Science. a4. Define the quality principles of professional practice in Computer Science. a5. Identify the fundamentals of scientific research and its ethics. a6. Define the principles of reliability, reusability, initiatives, and standards in software engineering. a7. A deep and systematic understanding of the academic discipline of Computer Science. a8. A critical awareness of current problems and research issues in selected areas of Computer Science. b. Intellectual Skills On successful completion of this program, graduates should be able to: b1. Analyze and evaluate the information in the domain of Computer Science and take references from them for problem solving. b2. Solve specialized problems without enough inputs. b3. Link different knowledge to solve professional problems. b4. Assess risks in professional practice of Computer Science. b5. Plan to develop the performance in Computer Science. b6. Establish techniques of research and enquiry are used to extend, create and interpret knowledge in Computer Science. b7. Recognize the need for, and show ability for, dealing with constantly changing technology and continuing professional development. c. Professional and Practical Skills On successful completion of this program, graduates should be able to: c1. Master basic and modern professional skills in Computer Science. c2. Evaluate current methods and tools in Computer Science. c3. Analyze software for reliability and use automating tools for software reliability prototypes. c4. Deal with complex issues at the forefront of the academic discipline of Computer Science in a manner, based on sound judgments, that is both systematic and creative; and be able to communicate conclusions clearly to both specialists and nonspecialists. c5. An ability to consistently apply knowledge concerning current research issues in computer science in an original manner and produce work that is at the forefront of the developments in the domain of the program of study. c6. Generate and apply appropriate solutions to solve problems based on reasoned rationale. d. General and Transferable Skills On successful completion of this program, graduates should be able to:

4 d1. Communicate efficiently by different means. d2. Use the information technology to serve the professional practice. d3. Long-life self-learning. d4. Use different recourses to obtain information and knowledge. d5. Effectively present ideas, designs and solutions in a logical framework in a variety of forms with proper language structure and mechanics, and to produce appropriate written documentation. 3. Contents No Topic taught 1 This course discusses principles of reliability, reusability, initiatives, and standards in software engineering, such as function point as a measure of complexity and, hence, reliability. 2 The course provides an overview of software reliability models, software fault-tree analysis, types of software errors, types of design errors, and inherent characteristics of software that determine reliability. 3 Software redundancy, automating tools for software reliability prototypes, and real-time software reliability is also covered. No. of hours Lecture Tut/Prac ILOs a1-a7, b1-b6, c1-c4, d1- d5 a1-a7, b1-b7, c1-c5, d1- d5 a1-a6,a8, b1-b7, c1-c6, d1-d5 4. Teaching and Learning Methods 4a. Lectures 4b. Tutorial Exercises 5. Student Assessment 5a. Tools Final Exam 5b. Time Schedule Assessment Week No Final Exam 30 5c. Grading System Assessment Grade % Final Exam 100% To measure knowledge, understanding, intellectual professional and general skills.

5 6. List of References 6a. Course Notes o Short course notes available at doctor's office. 6b. Required Books (Textbooks) o. 6c. Recommended Books o. 7. Facilities Required for Teaching and Learning A lecture hall is equipped with a projector and a computer. Labs are equipped with computers and Internet facilities. A library. Course Coordinator: Dr. Abdel-Rahman Hedar Signature: Date: 24/9/2012 Department Head: Dr. Abdel-Rahman Hedar Signature: Date: 24/9/2012

6 Criteria Final Exam Data Collections Case Study Projects Workshops Practical Exercises Tutorial Exercises Lectures Student evaluation, course file, exam results Course Matrix Course Name Software Reliability and Reusability ILOs Course Code CS614 Teaching and Learning Methods Assessment Tools Course Aims Course Content Teaching Weeks a s b s c s d s Learning principles of reliability, reusability, initiatives, and standards in software engineering. Studying software reliability models and inherent characteristics of software that determine reliability. This course discusses principles of reliability, reusability, initiatives, and standards in software engineering, such as function point as a measure of complexity and, hence, reliability. The course provides an overview of software reliability models, software fault-tree analysis, types of software errors, types of design errors, and inherent characteristics of software that determine reliability. Software redundancy, automating tools for software reliability prototypes, and real-time software reliability are also covered , Course Coordinator Dr. Abdel-RahmanHedar Signature Department Head Signature Dr. Abdel-Rahman Hedar

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