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10.02.2024 | Technical Paper

RFID library management software dependability through reliable fault-detection and fault correction procedures

verfasst von: Eze Nicholas Ude, Ejikeme Anthonia Nwamaka, Koushik Guha, Obichukwu Uzochukwu Peter, Ifeoma Joanes Onodugo, Udechukwu Chukwuemeka Patrick, Ozioko Ekene Frank, Ogili Solomon Nnaedozie, Nwokoro Chinenye Mercy

Erschienen in: Microsystem Technologies | Ausgabe 5/2024

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Abstract

Apart from the widespread acceptance of the digital library as a major research response among university lecturers and students, little is known about the reliability of its RFID software (RFIDS), the challenges posed during software flaws, and the improvement strategies that can be used to maintain the RFID software reliability. The various NHPP software reliability growth models (SRGMs) to investigate the reliabilities of software products of this kind in real-world software development has not always been achieved because those studies were primarily concerned with modeling fault detection processes (FDP) and ignoring the fault correction processes (FCP). Here, we propose a reliability model of RFID software while keeping in mind the interdependence between fault quantities of the dual procedures of fault detection and fault correction. In evaluating the software reliability, fault introduction and testing coverage rates were eventually included to the parameters making our proposed model to be highly effective in estimating and forecasting the dependability of the software when compared with existing NHPP software reliability growth models (SRGMs).

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Metadaten
Titel
RFID library management software dependability through reliable fault-detection and fault correction procedures
verfasst von
Eze Nicholas Ude
Ejikeme Anthonia Nwamaka
Koushik Guha
Obichukwu Uzochukwu Peter
Ifeoma Joanes Onodugo
Udechukwu Chukwuemeka Patrick
Ozioko Ekene Frank
Ogili Solomon Nnaedozie
Nwokoro Chinenye Mercy
Publikationsdatum
10.02.2024
Verlag
Springer Berlin Heidelberg
Erschienen in
Microsystem Technologies / Ausgabe 5/2024
Print ISSN: 0946-7076
Elektronische ISSN: 1432-1858
DOI
https://doi.org/10.1007/s00542-023-05607-6