Performance prediction based on knowledge of prior product versions

Martin Höst, Enrico Johansson

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

Performance estimation is traditionally carried out when measurement from a product can be obtained. In many cases there is, however, a need to start to make predictions earlier in a development project, when for example different architectures are compared. In this paper, two methods for subjective predictions of performance are investigated. With one of the methods experts estimate the relative resource usage of software tasks without using any knowledge of earlier versions of the product, and with the other method experts use their experience and knowledge of earlier versions of the system. With both methods there are rather large differences between different individual predictions, but the median of the prediction error indicates that the second method is worth further investigations
Original languageEnglish
Title of host publicationProceedings. Ninth European Conference on Software Maintenance and Reengineering
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages12-20
ISBN (Print)0-7695-2304-8
DOIs
Publication statusPublished - 2005
EventProceedings. Ninth European Conference on Software Maintenance and Reengineering - Manchester, United Kingdom
Duration: 2005 Mar 212005 Mar 23

Conference

ConferenceProceedings. Ninth European Conference on Software Maintenance and Reengineering
Country/TerritoryUnited Kingdom
CityManchester
Period2005/03/212005/03/23

Subject classification (UKÄ)

  • Computer Science

Free keywords

  • software performance estimation
  • software performance prediction
  • software resource usage
  • prior product versions

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