Detecting Anti-Pattern in Event-B
Details
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.
Autorentext
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.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Herausgeber LAP LAMBERT Academic Publishing
- Gewicht 233g
- Autor Enas El-Sharawy , Eman Karam , Asmaa Abdel Moniem
- Titel Detecting Anti-Pattern in Event-B
- Veröffentlichung 07.06.2018
- ISBN 6139852315
- Format Kartonierter Einband
- EAN 9786139852314
- Jahr 2018
- Größe H220mm x B150mm x T9mm
- Anzahl Seiten 144
- GTIN 09786139852314