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Development of Decision Models for Best Use of Software Testing Resources

This presentation discusses the development of decision models to identify the best allocation of software testing resources for optimal quality at a minimal cost. The methodology includes simulation modeling, cost analysis, and process evaluation. The goal is to improve software testing management and enhance the quality of the final software product.

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Development of Decision Models for Best Use of Software Testing Resources

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  1. Development of Decision Models for Best Use of Software Testing Resources Charles J. Campbell Judith C. Simon Ronald B. Wilkes

  2. Presentation Overview • Introduction • Description of methodology • Preliminary model • Plans for next phase

  3. Purpose • To study software defect data as a means toward identifying where resources should be allocated most effectively to provide highest quality at lowest cost • To begin the process of developing a model that could be expanded for use throughout the systems development process

  4. Research Methodology • Review of simulation modeling options; simulation selected because • It is exploratory; allows model to be altered and sensitivity analysis to be performed • It is well suited for the complex, multivariable context of software testing • Review of research on cost issues and models related to software testing, specifically finding and fixing problems

  5. Model Development • Determination of typical processes • Development of preliminary model, based on known software testing procedures from multiple publications and from interviews

  6. Implications • Will provide financial value for software testing management and improve the quality of the final software product • Eventual model can be applied to the entire software development processes, providing additional financial benefit

  7. Next Activities • Use of actual organization data to look for locations of greatest problems as well as associated costs for correcting defects • Search for patterns that need additional review, such as common defects, errors per tester, errors during a particular process, or combinations that might affect resource needs

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