A validation of the component-based method for software size estimation

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Jose Javier Dolado",
  title =        "A validation of the component-based method for
                 software size estimation",
  journal =      "IEEE Transactions on Software Engineering",
  year =         "2000",
  volume =       "26",
  number =       "10",
  pages =        "1006--1021",
  month =        oct,
  keywords =     "genetic algorithms, genetic programming, software
                 reusability, software component-based method, software
                 size estimation, software management, work planning,
                 lines of code, fourth-generation language, Mark II
                 function points, software size prediction, neural
                 networks, SBSE",
  ISSN =         "0098-5589",
  URL =          "http://ieeexplore.ieee.org/iel5/32/19037/00879821.pdf",
  size =         "16 pages",
  abstract =     "Estimation of software size is a crucial activity
                 among the tasks of software management. Work planning
                 and subsequent estimations of the effort required are
                 made based on the estimate of the size of the software
                 product. Software size can be measured in several ways:
                 lines of code (LOC) is a common measure and is usually
                 one of the independent variables in equations for
                 estimating several methods for estimating the final LOC
                 count of a software system in the early stages. We
                 report the results of the validation of the
                 component-based method (initially proposed by Verner
                 and Tate, 1988) for software sizing. This was done
                 through the analysis of 46 projects involving more than
                 100,000 LOC of a fourth-generation language. We present
                 several conclusions concerning the predictive
                 capabilities of the method. We observed that the
                 component-based method behaves reasonably, although not
                 as well as expected for global methods such as Mark II
                 function points for software size prediction. The main
                 factor observed that affects the performance is the
                 type of component.",
  notes =        "data files http://www.sc.ehu.es/jiwdocoj/cbm.htm",

Genetic Programming entries for Jose Javier Dolado Cosin