Detecting Anti-Pattern in Event-B

Nowadays generate reliable patterns is a challenge in the software engineering field, so anti-patterns detection becomes an effective and objective concept to be sure of the correctness of the software. Detecting anti-patterns early in the design level will be a good chance to avoid greater losses in cost and time. Many problems will be avoided also. In our thesis we discuss these two types of informal problems on Insulin Infusion Pump (IIP) .The proposed approach to formalize IIP is based on using Event-B. Finally, we could verify that the code generated from the proposed approach is correct and formal to use as a pattern. The accuracy of the proposed verification steps are suitable for using to any systems or medical device. The method ameliorates the proof percentage.

A propos de l'auteur

Dra Enas El-Sharawy ,Computer Science M.Sc 2011 e PHD 2014 da Universidade de Al-Azhar, ela trabalhava como professora do departamento de informática da Universidade de Al-Azhar. Actualmente, trabalha como professora assistente em Engenharia de Software, Departamento de Informática, Faculdade de Ciências e Humanidades na Jubail. Imam Abdurahman Bin Faisal University.

Détails du produit

• Auteurs: Asmaa Abdel Moniem, Ena El-Sharawy, Enas El-Sharawy, Ema Karam, Eman Karam
• Edition: LAP Lambert Academic Publishing
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 03.07.2018
• EAN: 9786139852314
• ISBN: 9786139852314
• Pages: 144
• Catégories: Livres de conseils; Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Autres