A NOTE ON THE LEE–CHANG–PHAM–SONG SOFTWARE RELIABILITY MODEL

OLGA RAHNEVA; HRISTO KISKINOV; ANNA MALINOVA; GEORGI SPASOV

Title	A NOTE ON THE LEE–CHANG–PHAM–SONG SOFTWARE RELIABILITY MODEL
Publication Type	Journal Article
Year of Publication	2018
Authors	RAHNEVA OLGA, KISKINOV HRISTO, MALINOVA ANNA, SPASOV GEORGI
Journal	Neural, Parallel, and Scientific Computations
Volume	26
Issue	3
Start Page	297
Pagination	14
Date Published	11/2018
ISSN	1061-5369
Keywords	41A46
Abstract	In this paper we study the Hausdorff approximation of the shifted Heaviside step function $h_{t_0}(t)$ by sigmoidal function based on the Lee--Chang--Pham--Song cumulative function and find an expression for the error of the best approximation. We give real examples with small on--line data provided by IBM entry software package using the model. The potentiality of the software reliability models is analyzed. Lee--Chang--Pham--Song's idea of including the characteristic $t^{\ast}$ (the time when debugging starts after modifying the code causing syntax errors) in the study of models in debugging theory can be successfully expanded. For instance, for the Goel (1980) software reliability model.
URL	https://acadsol.eu/npsc/articles/26/3/6.pdf
DOI	10.12732/npsc.v26i3.6
Refereed Designation	Refereed
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