The document discusses software reliability and reliability growth models. It defines software reliability and differentiates it from hardware reliability. It also describes some commonly used software reliability growth models like Musa's basic and logarithmic models. These models make assumptions about fault removal over time to predict how failure rates will change as testing progresses. The key challenges with models are uncertainty and accurately estimating their parameters.

1. LT CDR PABITRA KUMAR PANDA M TECH (RE), IIT KGP 11 AUG 2010 SOFTWARE RELIABILITY

7. HARD WARE VS SOFTWARE HAZARD RATE

10. INPUT/OUTPUT MAPPING

11. RELIABILITY PERCEPTION

14. SOFTWARE FA I LURE MECHAN I SM

15. AVERAGE FAILURE RATE OF A MS PRODUCT

19. SOFTWARE RELIABILITY MODELING

22. SOFTWARE REL I AB I L I TY MODELS ISSUES PREDICTION MODELS ESTIMATION MODELS DATA REFERENCE Uses historical data Uses data from the current software development effort WHEN USED IN DEVELOPMENT CYCLE Usually made prior to development or test phases; can be used as early as concept phase Usually made later in life cycle(after some data have been collected); not typically used in concept or development phases TIME FRAME Predict reliability at some future time Estimate reliability at either present or some future time

27. EQUAL-STEP RELIABILITY GROWTH

28. RANDOM-STEP RELIABILITY GROWTH

41. STATISTICAL TESTING

46. AN OPERATIONAL PROFILE

47. RELIABILITY PREDICTION

48. CASE STUDY

50. EXAMPLES OF A RELIABILITY SPEC.

52. COSTS OF INCREASING RELIABILITY

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