A Method Based on Fuzzy System for Assessing the Reliability of Software Based Aspects

Abstract

In fact, reliability as the qualities metric is the probability success or the probability that a system or a set of tasks will work without failure for a specified constraints of time and space, as specified in the design and operating conditions specified temperature, humidity, vibration and action. A relatively new methodologies for developing complex software systems engineering is an aspect oriented software systems, that provides the new methods for the separation of concerns multiple module configuration or intervention and automatic integration them with a system. In this paper, a method using fuzzy logic to measure software reliability based on the above aspects is presented. The proposed approach regarding the use of appropriate metrics and low errors in the estimation of reliability has a better performance than other methods.

A Novel Method for Software Reliability Assessment via Neuro-Fuzzy System

“…Zavvar and Ramezani proposed a method using fuzzy logic and the above aspects of the software to measure the software's reliability. Given that the proposed model uses four metrics, and each of these metrics is also three linguistic variables, therefore, the proposed model uses 81 laws [11]. Milovancevic, Dimov, et al analyzed several reliability models by a soft computing approach called adaptive neuro-fuzzy inference system (neurofuzzy) in order to estimate the models' capability based on root mean square errors (RMSE).…”

Determination of Calibration Sphere Parameters Influence on the Results of Articulating Probe Head Qualification

“…The reduction of cost that would be obtained utilizing such a solution are clearly visible. Another issues connected with CMMs measurements include the need of experienced and well trained personnel which would ensure the proper usage of devices [9], and the problem of periodical machines accuracy control, which is essential to keep the machine's indications reliable [1,4].…”