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Analisi algoritmica della predisposizione nel software orientato agli oggetti

Analisi algoritmica della predisposizione nel software orientato agli oggetti

Akhil Khare / Malan Gaikwad

66,85 €
IVA incluido
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Editorial:
KS OmniScriptum Publishing
Año de edición:
2026
Materia
Tecnología: cuestiones generales
ISBN:
9786200450388
66,85 €
IVA incluido
Disponible

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È necessario individuare la predisposizione del software per identificare le classi soggette a errori e modifiche nelle prime fasi di sviluppo, in modo da poter prestare particolare attenzione a tali classi e migliorare la qualità e l’affidabilità del software. Per la manutenzione correttiva e adattiva è necessario apportare modifiche durante l’evoluzione del software. È importante analizzare la frequenza delle modifiche nelle singole classi e anche identificare e mostrare le modifiche correlate in più classi. L’individuazione precoce delle classi soggette a errori e modifiche consente agli sviluppatori e agli esperti di dedicare il loro tempo e le loro risorse preziose a queste aree del software. La previsione delle classi di un software soggette a modifiche e difetti è un argomento di ricerca attivo nel campo dell’ingegneria del software; la maggior parte dei ricercatori sta lavorando su questo argomento. Tale previsione può essere utilizzata per prevedere le modifiche alle diverse classi di un sistema da una versione del software alla versione successiva. Identificare in anticipo le classi soggette a modifiche e difetti può aiutare a concentrare l’attenzione su queste classi.

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