Software maintenance project delays prediction using Bayesian Networks

  • Authors:
  • Ana C. V. de Melo;Adilson J. Sanchez

  • Affiliations:
  • University of São Paulo (USP), Department of Computer Science, Rua do Matão, 1010, Cidade Universitária, 05508 090 São Paulo, SP, Brazil;Banco Itaú, Av do Estado, 5533 - Mooca, 03105 000, São Paulo, SP, Brazil

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2008

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Abstract

Managing software maintenance is rarely a precise task due to uncertainties concerned with resources and services descriptions. Even when a well-established maintenance process is followed, the risk of delaying tasks remains if the new services are not precisely described or when resources change during process execution. Also, the delay of a task at an early process stage may represent a different delay at the end of the process, depending on complexity or services reliability requirements. This paper presents a knowledge-based representation (Bayesian Networks) for maintenance project delays based on specialists experience and a corresponding tool to help in managing software maintenance projects.