Optimal allocation of testing effort during testing and debugging phases: a control theoretic approach

DOI10.1080/00207721.2012.669861zbMath1278.93290OpenAlexW2036981176MaRDI QIDQ2872637

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Publication date: 15 January 2014

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2012.669861

zbMATH Keywords

optimal control theorysoftware reliability growth model (SRGM)release time problemexperience curve effecttesting effort allocation

Mathematics Subject Classification ID

Control/observation systems involving computers (process control, etc.) (93C83) Application models in control theory (93C95) Optimal stochastic control (93E20)

Related Items (3)

An Effort Allocation Model for a Three Stage Software Reliability Growth Model ⋮ Optimal selection and release problem in software testing process: a continuous time stochastic control approach ⋮ Effective confidence interval estimation of fault-detection process of software reliability growth models

Cites Work

• Optimal software release policies with simultaneous cost and reliability requirements
• A sequential software release policy
• Optimal allocation policies for testing-resource based on a software reliability growth model
• Optimisation analysis for reliability assessment based on stochastic differential equation modelling for open source software
• Optimum release policies for a software system with a scheduled software delivery time
• A General Empirical Solution to the Macro Software Sizing and Estimating Problem
• Software-reliability growth with a Weibull test-effort: a model and application
• Contributions to Hardware and Software Reliability
• Joint effect of test effort and learning factor on software reliability and optimal release policy
• A software cost model with imperfect debugging, random life cycle and penalty cost
• On allocation of resources during testing phase of a modular software

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