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LT CDR PABITRA KUMAR PANDA M TECH (RE), IIT KGP 11 AUG 2010  SOFTWARE RELIABILITY
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],SCOPE OF PRESENTATION
SOFTWARE RELIABILITY ,[object Object],[object Object],[object Object],[object Object],[object Object]
SOFTWARE REL I AB I L I TY  CONTD . ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is Software Reliability ,[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Software reliability
HARD WARE VS SOFTWARE HAZARD RATE
SOFTWARE FA I LURE MECHAN I SM ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],FAILURES AND FAULTS
INPUT/OUTPUT MAPPING
RELIABILITY PERCEPTION
FAILURE CLASSIFICATION ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Measuring Software Reliability ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SOFTWARE FA I LURE MECHAN I SM
AVERAGE FAILURE RATE OF A MS PRODUCT
REASONS FOR THIS PHENOMENON ,[object Object],[object Object],[object Object],[object Object],[object Object]
Measuring Software Reliability ,[object Object],[object Object],[object Object]
MEASUR I NG SOFTWARE REL I AB I L I TY ,[object Object],[object Object],[object Object]
SOFTWARE RELIABILITY MODELING
SOFTWARE REL I AB I L I TY MODELS ,[object Object],[object Object],[object Object],[object Object]
SOFTWARE REL I AB I L I TY MODELS ,[object Object],[object Object],[object Object],[object Object]
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
SOFTWARE REL I AB I L I TY MODELS ,[object Object],[object Object],[object Object],[object Object],[object Object]
SOFTWARE REL I AB I L I TY MODELS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SOFTWARE REL I AB I L I TY MODELS ,[object Object],[object Object],[object Object]
SOFTWARE REL I AB I L I TY MODELS ,[object Object],[object Object],[object Object],[object Object]
EQUAL-STEP RELIABILITY GROWTH
RANDOM-STEP RELIABILITY GROWTH
MUSA’S MODEL ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
MUSA’S BASIC MODEL  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
EXAMPLE ,[object Object],[object Object],[object Object]
MUSA/OKUMOTO LOGARITHMIC MODEL ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Model Extension (1) ,[object Object],[object Object],[object Object]
Example 3 (Basic Model) ,[object Object],[object Object],[object Object],[object Object]
Example 4 (Logarithmic Model) ,[object Object],[object Object],[object Object],[object Object],(63 in basic model) (100 in basic model)
Model Extension (2) ,[object Object],[object Object],[object Object]
Example 5 (Basic Model) ,[object Object],[object Object],[object Object],[object Object]
Example 6 (Logarithmic Model) ,[object Object],[object Object],[object Object],(3.68 in basic model) (0.000454 in basic model)
MODEL DISCUSSION ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
APPL I CAB I L I TY  OF  SOFTWARE REL I AB I L I TY MODELS ,[object Object],[object Object],[object Object],[object Object]
STATISTICAL TESTING
[object Object],[object Object],[object Object],[object Object],STATISTICAL TESTING
STAT I ST I CAL TEST I NG ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],STATISTICAL TESTING PROCEDURE
STATISTICAL TESTING DIFFICULTIES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
AN OPERATIONAL PROFILE
RELIABILITY PREDICTION
CASE STUDY
BANK AUTO-TELLER SYSTEM ,[object Object],[object Object],[object Object],[object Object],[object Object]
EXAMPLES OF A RELIABILITY SPEC.
SPECIFICATION VALIDATION ,[object Object],[object Object],[object Object],[object Object]
COSTS OF INCREASING RELIABILITY
CONCLUS I ONS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
REFERENCES ,[object Object],[object Object],[object Object],[object Object],[object Object]
THANK YOU!

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Software reliability

Notes de l'éditeur

  1. When we fix a fault we are not sure if the corrections are complete and successful and no other faults are introduced Even if the faults are fixed properly we do not know how much will be the improvement to interfailure time.