A Fuzzy Logic Model Based upon Reused and New & Changed Code for Software Development Effort Estimation at Personal Level

  • Lopez-Martin C
  • Yanez-Marquez C
  • Gutierrez-Tornes A
  • 26

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Abstract

Unless engineers have the capabilities provided by personal training, they cannot properly support their teams or consistently and reliably produce quality products. This paper presents a research aimed to compare a model based upon fuzzy logic with a multiple linear regression model. From a replicated experiment using a sample integrated by sixteen developers and 94 small programs these two models are derived. A common process as well as inside of a controlled environment this experiment is based. These comparisons based upon analysis of variance (ANOVA), magnitude of relative error (MRE) as well as multiple range tests show that a fuzzy logic model based on new and changed code as well as reused code can be an alternative for the software development effort estimation at personal level

Author-supplied keywords

  • ANOVA
  • Analysis of variance
  • Capability maturity model
  • Coordinate measuring machines
  • Fuzzy system model
  • Machine learning
  • Multifactor ANOVA
  • Personal software process
  • Programming
  • Reliability engineering
  • Risk analysis
  • Software effort estimation
  • Software engineering
  • Software systems
  • fuzzy logic
  • multiple linear regression
  • new-and-changed code
  • regression analysis
  • relative error magnitude
  • reused code
  • software development effort estimation
  • software development management
  • variance analysis

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Authors

  • C Lopez-Martin

  • C Yanez-Marquez

  • A Gutierrez-Tornes

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