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Mathematics in Software Reliability and Quality Assurance



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Autore: Dohi Tadashi Visualizza persona
Titolo: Mathematics in Software Reliability and Quality Assurance Visualizza cluster
Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica: 1 online resource (218 p.)
Soggetto topico: History of engineering and technology
Technology: general issues
Soggetto non controllato: bisimulation
branch coverage
checkpointing
coalgebra
composition
concurrent software systems
consensus protocol
cross-project prediction
data-flows
deep learning
EM algorithm
eventual property
feature selection
fuzzy automata
fuzzy language
generalized failure count data
genetic algorithm
human-error factors
island-based model
long short-term memory
Maude
maximum likelihood estimation
metamorphic relations
metamorphic testing
model checking
model-checking
moth flame optimization
mutation testing
Nervos CKB
non-homogeneous Poisson process
object-oriented
optimal rejuvenation-trigger timing
petri net
phase expansion
project similarity and clustering
quality assessment
regression testing
search-based test case generation
software defect prediction
software rejuvenation
software reliability
software reliability model
specification-based testing
steady-state system availability
test data generation
textual question answering
UPPAAL
visual question answering
Persona (resp. second.): LiuShaoying
DohiTadashi
Sommario/riassunto: This monograph concerns the mathematical aspects of software reliability and quality assurance and consists of 11 technical papers in this emerging area. Included are the latest research results related to formal methods and design, automatic software testing, software verification and validation, coalgebra theory, automata theory, hybrid system and software reliability modeling and assessment.
Titolo autorizzato: Mathematics in Software Reliability and Quality Assurance  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910576884903321
Lo trovi qui: Univ. Federico II
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