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Prediction of Software Reliability using Bio Inspired Soft Computing Techniques.

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Summary
This summary is machine-generated.

This study assesses soft computing techniques for software reliability prediction, focusing on parameters crucial for accurate estimation in Component-Based Software Engineering (CBSE). It highlights the application of methods like Genetic Algorithms and Neural Networks for reliable system development.

Keywords:
CBSECBSRGenetic algorithmOptimization TechniqueSoft ComputingSoftware qualitySoftware reliability

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Area of Science:

  • Software Engineering
  • Artificial Intelligence
  • Reliability Engineering

Background:

  • Traditional software reliability models are limited by specific methodologies and parameters.
  • Component-Based Software Engineering (CBSE) emphasizes reusability, offering cost and time savings.
  • Soft computing techniques address uncertainty and randomness in complex problem-solving, with applications in various medical and engineering fields.

Purpose of the Study:

  • To assess commonly used soft computing techniques for predicting software reliability.
  • To identify and discuss key parameters influencing reliability estimation.
  • To explore the application of these techniques within Component-Based Software Engineering (CBSE).

Main Methods:

  • Evaluation of soft computing techniques including Genetic Algorithm (GA), Neural Network (NN), Fuzzy Logic, Support Vector Machine (SVM), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Artificial Bee Colony (ABC).
  • Analysis of the working principles of these soft computing techniques.
  • Discussion of parameters critical for reliability prediction.

Main Results:

  • Soft computing techniques offer a robust approach to software reliability prediction.
  • The selection of appropriate parameters significantly impacts system reliability.
  • These methods are applicable to both software and hardware reliability estimation.

Conclusions:

  • Soft computing techniques provide a valuable framework for enhancing software reliability prediction.
  • Component-Based Software Engineering (CBSE) can leverage these techniques for more reliable and efficient system development.
  • The study's findings are applicable across software engineering, medical systems, computer engineering, and mechanical engineering.