scholarly journals Misspecified modeling of subsequent waves during COVID‐19 outbreak: A change‐point growth model

2021 ◽  
Author(s):  
Paolo Girardi ◽  
Luca Greco ◽  
Laura Ventura
Keyword(s):  
Growth Model ◽  
Change Point

Developing a hybrid software reliability growth model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Avinash Kumar Shrivastava ◽  
Ruchi Sharma
Keyword(s):  
Distribution Function ◽  
Growth Model ◽  
Software Reliability ◽  
Change Point ◽  
Distribution Functions ◽  
Reliability Growth ◽  
Software Reliability Growth Model ◽  
Content Type ◽  
Before And After ◽  
Software Reliability Growth

PurposeThe purpose of this paper is to develop a new software reliability growth model considering different fault distribution function before and after the change point.Design/methodology/approachIn this paper, the authors have developed a framework to incorporate change-point in developing a hybrid software reliability growth model by considering different distribution functions before and after the change point.FindingsNumerical illustration suggests that the proposed model gives better results in comparison to the existing models.Originality/valueThe existing literature on change point-based software reliability growth model assumes that the fault correction trend before and after the change is governed by the same distribution. This seems impractical as after the change in the testing environment, the trend of fault detection or correction may not follow the same trend; hence, the assumption of same distribution function may fail to predict the potential number of faults. The modelling framework assumes different distributions before and after change point in developing a software reliability growth model.

Implications of fault array evolution for synrift depocentre development: insights from a numerical fault growth model

2000 ◽  
Vol 12 (3-4) ◽  
pp. 241-261 ◽  
Author(s):  
P. A. Cowie ◽  
S. Gupta ◽  
N. H. Dawers
Keyword(s):  
Growth Model ◽  
Fault Growth
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