Modeling and monitoring multi-release software systems based on failure detection rate: a generalized approach

Jyotish N. P. Singh (), Adarsh Anand () and Priyanka Gupta ()
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Jyotish N. P. Singh: University of Delhi
Adarsh Anand: University of Delhi
Priyanka Gupta: University of Delhi

International Journal of System Assurance Engineering and Management, 2024, vol. 15, issue 4, No 6, 1397-1406

Abstract: Abstract The need to deal with multi- upgrades of the software system cannot be denied by any individual in today’s world. The existence of faults in the said scenario has always been an issue of concern for the management as well as for the researchers. The fault debugging phenomenon has been extensively studied in multi- release environment of software systems. Researchers have also worked on the detection process using unification scheme through which different distribution functions can be easily utilized. But out of the several available functions, which distribution should be employed in the studies has always been a matter of concern there generating the need to move towards the generalized framework was observed. In the present article, a novel approach for modelling multi- upgraded software system is provided that is able to capture the diversified nature of failure rate distribution with the help of generalized failure distribution function. Furthermore, the applicability of the proposed modelling framework has been checked using the data sets from two forms of available software programs: one in closed form and other in open source.

Keywords: Generalized Linear Failure Rate Distribution; Multi-Release; Unification scheme; Open and closed software (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s13198-022-01842-8

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