Journal Article10.4172/2165-7866.1000144
Software Reliability Modeling using Soft Computing Techniques: Critical Review
TL;DR: This paper has provided an overview of existing soft computing techniques, and then critically analyzed the work done by the various researchers in the field of software reliability.
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Abstract: To obtained solutions to problems quickly, accurately and acceptably, a large number of soft computing techniques have been developed, but it is very difficult to find out which one is the most suitable and can be used globally. In this paper, we have provided an overview of existing soft computing techniques, and then critically analyzed the work done by the various researchers in the field of software reliability. The probability of failure-free operation of a software system for a specified time in a specifies environment. Further to this, we have also compared soft computing techniques in terms of software reliability modeling capabilities.
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A comparative study of statistical and soft computing techniques for reliability prediction of automotive manufacturing
TL;DR: A comparative structure for predicting the operational reliability in automotive manufacturing industry, using soft computing + statistical techniques shows that the Adaptive Neuro-Fuzzy Inference System (ANFIS) model yields better results in most cases and thus can be used for predicting operational reliability.
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Software Reliability Modeling using Soft Computing Techniques: Critical Review
TL;DR: An overview of existing soft computing techniques, and critically analyzed the work done by the various researchers in the field of software reliability modeling capabilities is provided.
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References
•Book
Fuzzy sets
Lotfi A. Zadeh
- 01 Aug 1996
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
53.2K
Optimization by Simulated Annealing
TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
46.9K
Detecting change in vague interpretations of landscapes
TL;DR: It is suggested that the mappings derived express subtle variations in land cover types and change in those types as well as in ecotones, which may be related more conclusively to an ecological process than are Boolean mappings with associated linear boundaries.
10.7K
•Book
Tabu Search
Fred Glover,Manuel Laguna +1 more
- 31 Jul 1997
TL;DR: This book explores the meta-heuristics approach called tabu search, which is dramatically changing the authors' ability to solve a host of problems that stretch over the realms of resource planning, telecommunications, VLSI design, financial analysis, scheduling, spaceplanning, energy distribution, molecular engineering, logistics, pattern classification, flexible manufacturing, waste management,mineral exploration, biomedical analysis, environmental conservation and scores of other problems.
7K
Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm
TL;DR: It is conjecture that the analogy with thermodynamics can offer a new insight into optimization problems and can suggest efficient algorithms for solving them.