An effort prediction model based on BPM measures for process automation

Banu Aysolmaz, Deniz Iren, Onur Demirörs

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

7 Citations (Scopus)

Abstract

BPM software automation projects require different approaches for effort estimation for they are developed based on business process models rather than traditional requirements analysis outputs. In this empirical research we examine the effect of various measures for BPMN compliant business process models on the effort spent to automate those models. Although different measures are suggested in the literature, only a few studies exist that relate these measures to effort estimation. We propose that different perspectives of business process models need to be considered such as behavioral, organizational, functional and informational to determine the automation effort effectively. The proposed measures include number of activities, number of participating roles, number of outputs from the process and control flow complexity. We examine the effect of these measures on the automation effort and propose a prediction model developed by multiple linear regression analysis. The data were collected from a large IS integration project which cost 300 person-months along a three-year time frame. The results indicate that some of the measures collected have significant effect on the effort spent to develop the BPM automation software. We envision that prediction models developed by using the suggested approach will be useful to make accurate estimates of project effort for BPM intensive software development projects.

Original languageEnglish
Title of host publicationEnterprise, Business-Process and Information Systems Modeling
Subtitle of host publication14th International Conference, BPMDS 2013, 18th International Conference, EMMSAD 2013, Held at CAiSE 2013, Valencia, Spain, June 17-18, 2013. Proceedings
Place of PublicationBerlin
PublisherSpringer
Chapter12
Pages154-167
Number of pages14
ISBN (Electronic)978-3-642-38484-4
ISBN (Print)978-3-642-38483-7
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event14th International Conference on Business Process Modeling, Development and Support, BPMDS 2013, and the 18th International Conference on Exploring Modeling Methods for Systems Analysis and Design, EMMSAD 2013, Held at CAiSE 2013 - Valencia, Spain
Duration: 17 Jun 201318 Jun 2013

Publication series

NameLecture Notes in Business Information Processing (LNBIP)
Volume147
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

Conference14th International Conference on Business Process Modeling, Development and Support, BPMDS 2013, and the 18th International Conference on Exploring Modeling Methods for Systems Analysis and Design, EMMSAD 2013, Held at CAiSE 2013
Country/TerritorySpain
CityValencia
Period17/06/1318/06/13

Keywords

  • business process automation
  • Business process model measures
  • effort prediction model
  • project management

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