slides - Department of Computer Science
slides - Department of Computer Science slides - Department of Computer Science
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29.01.2014
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Conclusion
Conclusion • The introduction of pGSL helps the programmers handle probabilistic properties of software formally.
- Page 5 and 6: Outline • A brief introduction to
- Page 7 and 8: Outline • A brief introduction to
- Page 9 and 10: Introduction to B and GSL
- Page 11 and 12: Introduction to B and GSL • B-Met
- Page 13 and 14: Introduction to B and GSL (Cont.)
- Page 15 and 16: Introduction to B and GSL (Cont.)
- Page 17 and 18: Introduction to B and GSL (Cont.)
- Page 19 and 20: Introduction to B and GSL (Cont.)
- Page 21 and 22: Introduction to pGSL • pGSL is th
- Page 23 and 24: Introduction to pGSL • pGSL is th
- Page 25 and 26: Introduction to pGSL • pGSL is th
- Page 27 and 28: New pB construct • pGSL: Probabil
- Page 29 and 30: Example of probabilistic Number
- Page 31 and 32: Example of probabilistic Number A m
- Page 33 and 34: Example of probabilistic Number A m
- Page 35 and 36: Example of probabilistic Number (Co
- Page 37 and 38: Proof obligations generator
- Page 39 and 40: Proof obligations generator The rul
- Page 41 and 42: Proof obligation for initialisation
- Page 43 and 44: Proof obligation for Increase opera
- Page 45 and 46: Proof obligation for Increase opera
- Page 47 and 48: Modifying the B-Toolkit • Interna
- Page 49 and 50: Modifying the B-Toolkit • Interna
- Page 51 and 52: Modifying the B-Toolkit • Interna
- Page 53 and 54: Case studies
- Page 55: Case studies • Random algorithms.
- Page 59: Conclusion • The introduction of
Conclusion
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