Loyola College B.Sc. Computer Science April 2009 Software Engineering Question Paper PDF Download

LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034

SH 17

B.Sc. DEGREE EXAMINATION – COMPUTER SCIENCE

FIFTH SEMESTER – April 2009

CS 5505 – SOFTWARE ENGINEERING

 

 

 

Date & Time: 17/04/2009 / 9:00 – 12:00     Dept. No.                                                       Max. : 100 Marks

 

 

SECTION – A

Answer ALL the questions                                                                          (10 x 2 = 20 marks)

  1. What is Software Engineering?
  2. What are Software metrics?
  3. What do you mean by SQA?
  4. What is SCM?
  5. Write the difference between ‘Known Risks and Predictable Risks”
  6. What is Software Prototyping?
  7. Define Modularity.
  8. Define Cardinality
  9. Define Cohesion
  10. What is Regression Testing?

SECTION – B

 

Answer ALL the questions                                                                    (5 x 8 = 40 marks)

  1. a) Explain about Linear sequential.

(or)

  1. b) Explain the various Software myths.
  2. a) Write short notes on Software Configuration Management.

(or)

  1. b) Explain about Requirement analysis techniques
  2. a) What is DFD? Explain with a suitable example.

(or)

  1. b) Explain about Jackson System Development model.
  2. a) Explain about the various design principles.

(or)

  1. b) Write short notes Effective Modular design.
  2. a) Explain about the Software Testing Principles

(or)

  1. b) Explain about the McCall’s Quality Factors.

 

SECTION – C

 

Answer any TWO questions                                                                        (2 x 20 = 40 marks)

 

  1. a) Explain in detail about Software Engineering Paradigm.
  2. b) Discuss in detail about Risk Managment.
  3. a) What is Analysis modeling? Explain the elements of analysis model in detail.
  4. b) Discuss in detail about DSSD.
  5. a) Explain in detail about Black box Testing Techniques.
  6. b) Explain the following concept (i) Size oriented Metrics (ii) Function Oriented Metrics

 

 

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