Data-Driven Software Reliability and Availability Modeling and Prediction

OPSEARCH ◽  
2008 ◽  
Vol 45 (4) ◽  
pp. 335-350
Author(s):  
Xuemei Zhang ◽  
Hoang Pham
Keyword(s):  
Software Reliability ◽  
Data Driven ◽  
Modeling And Prediction ◽  
Availability Modeling ◽  
Reliability And Availability

Reliability and Availability Modeling

1996 ◽  
pp. 155-202
Author(s):  
Robin Sahner ◽  
Kishor S. Trivedi ◽  
Antonio Puliafito
Keyword(s):  
Availability Modeling ◽  
Reliability And Availability

MARKOVIAN MODELING FOR SOFTWARE AVAILABILITY ANALYSIS UNDER INTERMITTENT USE

2001 ◽  
Vol 08 (03) ◽  
pp. 249-258 ◽  
Author(s):  
KOICHI TOKUNO ◽  
SHIGERU YAMADA
Keyword(s):  
Software Reliability ◽  
Reliability Growth ◽  
System Failure ◽  
Imperfect Debugging ◽  
Software Failure ◽  
Availability Analysis ◽  
Dependent Behavior ◽  
Software Reliability Growth ◽  
Availability Modeling ◽  
Availability Assessment

We discuss the software availability modeling when the system is used intermittently. From the viewpoint of users, occurrence of a system failure is recognized when the event that either a software failure occurs when the system is in use or a usage demand occurs when the system is under restoration arises. In this pape, a couple of new measures for software availability assessment are derived; these are called the disappointment probabilities in use and under restoration, respectively. It is supposed that the usage demand of the system occurs randomly and that the user's demand duration is also random. The time-dependent behavior of the system alternating between up and down states is described by a Markov process. Then the software reliability growth process, the upward tendency in difficulty of debugging, and the imperfect debugging environment are also considered.

An Intelligent Data-Driven Approach for Precise Tidal Unit Modeling and Prediction

2020 ◽  
pp. 1-1
Author(s):  
Hadi Fotoohabadi ◽  
Saeed Daneshvar Dehnavi ◽  
Mohammad Baziar ◽  
Saber Arabi Nowdeh
Keyword(s):  
Data Driven ◽  
Modeling And Prediction ◽  
Data Driven Approach
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