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Software Reliability Growth Models / David D. Hanagal, Nileema N. Bhalerao
| Software Reliability Growth Models / David D. Hanagal, Nileema N. Bhalerao |
| Autore | Hanagal, David D. |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xxi, 104 p. : ill. ; 24 cm |
| Altri autori (Persone) | Bhalerao, Nileema N. |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68M15 - Reliability, testing and fault tolerance of networks and computer systems [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 60G55 - Point processes (e.g., Poisson, Cox, Hawkes processes) [MSC 2020] 68Q87 - Probability in computer science (algorithm analysis, random structures, phase transitions, etc.) [MSC 2020] 68N01 - General topics in the theory of software [MSC 2020] |
| Soggetto non controllato |
Delayed s-shaped curve
Extended inverse Weibull Fault content rate function Generalized extended inverse Weibull Generalized inverse Weibull Hazard Rate Imperfect debugging Inverse Weibull Mean value function Model selection criteria Non-homogeneous Poisson process Predictive risk ratio |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275518 |
Hanagal, David D.
|
||
| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Software Reliability Growth Models / David D. Hanagal, Nileema N. Bhalerao
| Software Reliability Growth Models / David D. Hanagal, Nileema N. Bhalerao |
| Autore | Hanagal, David D. |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xxi, 104 p. : ill. ; 24 cm |
| Altri autori (Persone) | Bhalerao, Nileema N. |
| Soggetto topico |
60G55 - Point processes (e.g., Poisson, Cox, Hawkes processes) [MSC 2020]
68-XX - Computer science [MSC 2020] 68M15 - Reliability, testing and fault tolerance of networks and computer systems [MSC 2020] 68N01 - General topics in the theory of software [MSC 2020] 68Q87 - Probability in computer science (algorithm analysis, random structures, phase transitions, etc.) [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Delayed s-shaped curve
Extended inverse Weibull Fault content rate function Generalized extended inverse Weibull Generalized inverse Weibull Hazard Rate Imperfect debugging Inverse Weibull Mean value function Model selection criteria Non-homogeneous Poisson process Predictive risk ratio |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00275518 |
|
Hanagal, David D.
|
||
| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||