[PDF] Top 20 Effective Assessment of Software Reliability by Using Neuro-Fuzzy System

... the software systems operating in it ...the system is degraded by some software failures or fails to meet the required level of performance this make many of the people to strike off these ...the ... See full document

... Billing Software (on which I had worked previously as a Software Engineer at L Cube Innovative Solutions ...and Software Reliability Approximated value based on the program execution ... See full document

... the reliability estimation for modular software ...basic software risk level of projects with iterative lifecycle and software development project model ...[17]. Fuzzy model for the ... See full document

... uses Fuzzy Logic Model, Neural Networks, Support Vector Machines, Evolutionary Algorithms, Chaos Theories, ...Adaptive Neuro-Fuzzy Inference System and Generalized Regression Neural Networks ... See full document

... Figueiredo et al proposed a set of metrics and a set of rules for the assessment of products based on the aspects [4]. This aspect-oriented frame- work that allows developers to evaluated their products in design ... See full document

... overall system have been defined by models that have been determined by the number of courses students have completed and grant point averages (GPA) they accumulated in ...academic assessment. ... See full document

... water system and their results are tabulated in the Table ...calculated using log mean temperature difference (LMTD) approach because the inlet temperature, outlet temperature and flow rate of the cold and ... See full document

... make system reliable, it should inhibit guarantee for basic service, data flow, composi- tion of services, and the complete ...entire software system consists of an interacting group of autonomous ... See full document

... adaptive neuro-fuzzy inference system (ANFIS) were used for a land subsidence susceptibility assessment in the Marand plain using six different MFs and three folds of ...MATLAB ... See full document

... Building a Bi-logic Classification Network: So far we have turned our evaluation problem into a bi-logic discrimination problem. Now, we build a new network, for discrimination, as depicted in Figure 6. Such a ... See full document

... the software, the inputs to the product will determine whether an existing of faults in the software, the inputs to the product will determine whether an existing fault is encountered or ...Many ... See full document

... of fuzzy techniques in image noise reduction processing is a promising research field ...[5]. Fuzzy techniques have already been applied in several domains of image processing, ...These fuzzy ... See full document

... Today, investment in stock has become a means of individual finance. The concept of Portfolio selection comes from the financial area. As stock market is very uncertain investment in stocks does not usually have a ... See full document

... Advanced Fuzzy Logic Fault Detector System, with the collective synergy of fuzzy logic and NN’s, a better insightful of the detection process of the system can be ...Advanced Fuzzy ... See full document

... the system when a network failure occurs. The performance of the software under these states was studied in a test environment that was designed to simulate the AT&T ...The system was operated ... See full document

... To keep up with the pace of the world and not be left behind every organisation is taking the help of the computation power [1]. Ever increasing population and directly proportionate demand for jobs along with the ... See full document

... The quantity of available input data to anticipate the desirable output was evaluated using the M-test. The M-test results help to determine whether there were sufficient data to provide an asymptotic Gamma ... See full document

... the fuzzy AND of the antecedent part of the fuzzy rules, the third layer normalizes the membership functions (MFs), the fourth layer executes the consequent part of the fuzzy rules, and finally the ... See full document

... accounting indicators). Research results show that the proposed model was verified above input data and can be used as a tool for supporting decisions concerning a client’s creditworthiness in the insurance industry. The ... See full document

... a neuro fuzzy system that learn how set data using fuzzy rules and fuzzy ...movements using SEMG 2 data which were received from 8 able bodied ...SEMG system was ... See full document