Fit data selection for software effort estimation models

ABSTRACT

To construct a better multivariate regression model for software effort estimation, this paper proposes a method to select projects as a fit data from a given project data set based on estimation target's features. While regression models were often constructed from all available project data, this paper showed the necessity of fit data selection, and showed that the proposed method is one of the effective and systematic means to do the selection.

REFERENCES

• 1: Barry W. Boehm, Software Engineering Economics, Prentice Hall PTR, Upper Saddle River, NJ, 1981
• 2: International Software Benchmarking Standards Group. 2004. ISBSG Estimating Benchmarking and Research Suite Release 9. International Software Benchmarking Standards Group.
• 3: International Software Benchmarking Standards Group. 2000. The Benchmark Release 6. International Software Benchmarking Standards Group.

INDEX TERMS

Primary Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
      D.2.9 Management
          Subjects: Cost estimation

Additional Classification:
  K. Computing Milieux
  K.6 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS
      K.6.2 Installation Management

General Terms:
Economics, Management, Measurement

Keywords:
effort estimation, multivariate regression