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Comprehensive evaluation of software system reliability based on component-based generalized G-O models.

Yuzhuo Wang1,2, Haitao Liu2, Haojie Yuan2

  • 1College of Weaponry Engineering, Naval University of Engineering, Wuhan, Hubei, China.

Peerj. Computer Science
|June 22, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a component-based generalized G-O model (CB-GGOM) for predicting software reliability growth. The model enables early-stage reliability prediction without integration test data, aiding defect prevention and test strategy optimization.

Keywords:
Component-based softwareFault detection rateNon-homogeneous Poisson processThe number of remaining faults

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Area of Science:

  • Software Engineering
  • Reliability Engineering
  • Computer Science

Background:

  • Predicting software reliability growth in early development is crucial for reducing waste but challenging due to limited data.
  • Existing models often require extensive integration test data, limiting their applicability in early design and integration phases.

Purpose of the Study:

  • To develop a novel reliability growth model for component-based software systems applicable in early development stages.
  • To enable accurate reliability prediction using only component-level reliability data, without relying on system integration test data.

Main Methods:

  • Defined two system-level parameters: total system faults and system fault detection rate.
  • Established relationships between component and system fault detection rates and total faults.
  • Constructed the component-based generalized G-O model (CB-GGOM) and two approximate models for early and stable integration testing stages.

Main Results:

  • Successfully calculated system parameters from known component parameters.
  • Developed the CB-GGOM and its approximations, validated through simulation and a real-world example.
  • Demonstrated the models' effectiveness in predicting reliability growth without integration test data.

Conclusions:

  • The proposed CB-GGOM and its approximations provide a viable method for early-stage software reliability prediction.
  • These models empower developers to optimize testing strategies and implement proactive defect prevention.
  • The approach overcomes the data limitations typically encountered in the design and integration phases of software development.