Software reliability prediction using package level modularization metrics
نویسندگان
چکیده
منابع مشابه
Software Metrics for Package Remodularisation
There is a plethora of software metrics [LK94, FP96, HS96a, HK00, LM06] and a large amount of research articles. Still there is a lack for a serious and practically-oriented evaluation of metrics. Often metrics lack the property that the software reengineer or quality expert can easily understand the situation summarized by the metrics. In particular, since the exact notion of coupling and cohe...
متن کاملSoftware Metrics and Reliability
The IEEE defines reliability as “The ability of a system or component to perform its required functions under stated conditions for a specified period of time.” To most project and software development managers, reliability is equated to correctness, that is, they look to testing and the number of “bugs” found and fixed. While finding and fixing bugs discovered in testing is necessary to assure...
متن کاملSoftware Reliability, Metrics, Reliability Improvement Using Agile Process
The objective of this research paper is to study about the software reliability metrics. Reliability is one of the important aspects of any software that cannot be ignored and hard to measure. According to ANSI, “Software Reliability is defined as the probability of failure-free software operation for a specified period of time in a specified environment”. Software Reliability is different from...
متن کاملSoftware Reliability Prediction using Neural Networks
Predicting the Software reliability is a pertinent issue and it is a major concern of software developers and engineers in changing environment considerations. Software reliability models are developed to estimate the probability of failure free operation of the software for a long time. Many Software Reliability Growth Models (SRGM) were developed to give the latent number of faults in the sof...
متن کاملSoftware Reliability Prediction Model Using Rayleigh Function
Predicţia fiabilităţii produselor software poate determina fiabilitatea prezentă a unui produs, folosind tehnici statistice bazate pe datele de eşec, obţinute în timpul testării sau a folosirii sistemului. Scopul acestei lucrări este să studieze evoluţia unui produs real de-a lungul a trei variante, folosind funcţia Rayleigh pentru a prezice numărul de defecte. Articolul oferă două posibilităţi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2020
ISSN: 1877-0509
DOI: 10.1016/j.procs.2020.09.086