Document Details

Document Type : Thesis 
Document Title :
SOME DEBUGGING MODELS FOR SOFTWARE RELIABILITY: GENERALIZATION, STATISTICAL INFERENCE, AND PREDICTION
بعض نماذج التصحيح لموثوقية البرمجيات : تعميم ،استدلال احصائي ،وتنبؤ
 
Subject : Faculty of Sciences 
Document Language : Arabic 
Abstract : Software reliability is the key concern of many users and developers of software systems. Although it is difficult to measure the reliability of software system before its development is completed yet if data in terms of inter-failure time are available, predictions about its reliability can be made. The object of our study is to generalize two well-known software reliability models, as special cases of our suggested two general formulas several sub-models will be provided for a particular situation with less effort and time. In more details, a theoretical review of Jelinski –Moranda (J-M) and Littlewood-Verrall (L-V) models is given and their reliability characteristics are considered. The theoretical foundation for our three and four parameters general formulas are illustrated. Some important software reliability measures for the generalized models are considered and graphical representation of those measures are given. Three different methods of estimation: the maximum likelihood, nonlinear least square, and weighted nonlinear least square are used to estimate the parameters of the generalized two reliability models. Simulated and real data applications are conducted to validate the suggested general formula and to compare the three estimation methods. Several evaluation criteria are used to compare between the selected estimation methods, and to choose the best fit model for each simulated and real data. The obtained results show the effectiveness of our proposed two reliability general formulas and the usefulness of using different estimation methods at producing more precise estimators. 
Supervisor : Prof. Latif Ismail Turk 
Thesis Type : Master Thesis 
Publishing Year : 1438 AH
2017 AD 
Added Date : Tuesday, May 9, 2017 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
افتخار قابل السلميAlsalami, Iftikhar QabeelResearcherMaster 

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