Effort estimation for corrective software maintenance

  • Authors:

  • Andrea De Lucia;Eugenio Pompella;Silvio Stefanucci

  • Affiliations:

  • University of Sannio, Palazzo Bosco Lucarelli, Piazza Roma, 82100 Benevento, Italy;EDS Italia Software S.p.A., Viale Edison - Loc. Lo Uttaro, 81100 Caserta, Italy;University of Sannio, Palazzo Bosco Lucarelli, Piazza Roma, 82100 Benevento, Italy

  • Venue:
  • SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
  • Year:
  • 2002

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Abstract

This paper reports on an empirical study aiming at constructing cost estimation models for corrective maintenance projects. Data available were collected from five maintenance projects currently carried out by a large software enterprise. The resulting models, constructed using multivariate linear regression techniques, allow to estimate the costs of a project conducted according to the adopted maintenance processes. Model performances on future observations were achieved by taking into account different corrective maintenance task typologies, each affecting the effort in a different way, and assessed by means of a cross validation which guarantees a nearly unbiased estimate of the prediction error. The constructed models are currently adopted by the subject company.