Improved RPPI Strategy for Software Reliability Analysis Basing on Multi-objective Optimizing Method | Zendy

Bingchao Lei | Zendy

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Improved RPPI Strategy for Software Reliability Analysis Basing on Multi-objective Optimizing Method

Author(s) -

Bingchao Lei

Publication year - 2011

Publication title -

computer and information science

Language(s) - English

Resource type - Journals

eISSN - 1913-8997

pISSN - 1913-8989

DOI - 10.5539/cis.v4n2p161

Subject(s) - computer science , reliability (semiconductor) , reliability engineering , software , pareto principle , software reliability testing , software quality , multi objective optimization , mathematical optimization , software development , machine learning , power (physics) , physics , mathematics , quantum mechanics , engineering , programming language

The RPPI Strategy is improved by involving in the testing costs as an evaluation factor. In software testing stage, the component software with both high RPPI value and low testing costs is given advantage to be tested. The new proposed method avoids the defects in common RPPI strategy, which is often impracticable because of too much extra testing costs. Since both the objective of higher RPPI value and the objective of low costs are simultaneously required, the problem is modeled as a multi-objective optimization problem and resolved by the optimization algorithm such as the goal programming method and the Pareto algorithm. The method proposed is practicable in software reliability analysis.

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