An analytical model for requirements selection quality evaluation in product software development

Björn Regnell, Lena Karlsson, Martin Höst

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

Sammanfattning

In market-driven development of product software, a crucial decision for each candidate requirement is whether or not to select it for implementation in the next release. We present an analytical model of the requirements selection process, which is used for reasoning about decision quality. A network of queues, with two classes of jobs, models the selection of requirements of different quality. The feasibility of model parameter estimation is validated in a survey involving product managers and system engineers. The results show that some of the respondents have made internally consistent parameter estimations, indicating that the model is relevant and its parameters understandable. It is also shown that a majority of the consistent respondents estimate that most of their implemented product requirements are incorrectly selected. The main objective of the model is to provide tools for evaluation of improvement proposals by estimating the impact of process change
Originalspråkengelska
Titel på värdpublikationProceedings 11th IEEE International Requirements Engineering Conference
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor254-263
ISBN (tryckt)0-7695-1980-6
DOI
StatusPublished - 2003
EvenemangProceedings 11th IEEE International Requirements Engineering Conference - Monterey Bay, CA, USA
Varaktighet: 2003 sep. 82003 sep. 12

Konferens

KonferensProceedings 11th IEEE International Requirements Engineering Conference
Land/TerritoriumUSA
OrtMonterey Bay, CA
Period2003/09/082003/09/12

Ämnesklassifikation (UKÄ)

  • Datavetenskap (datalogi)

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