Complementing approaches in ERP effort estimation practice: an industrial study

Maia Daneva

doi:10.1145/1370788.1370808

Complementing approaches in ERP effort estimation practice: an industrial study

Maia Daneva

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

17 Downloads (Pure)

Abstract

Projects implementing enterprise resource planning (ERP) solutions are characterized by specific context factors such as high level of reuse, scope of the ERP modules, interdependent functionality, and use of vendor-specific standard implementation method, all of which impose risks known to cause various degrees of project failure. We suggest a remedy to this issue by tackling it from a portfolio management perspective. Our solution rests on earlier work by other authors and is a combination of a classic cost estimation method (COCOMO II), a Monte Carlo simulation process, and a portfolio management model. We report on the results of a case study done in a company site in the telecommunication sector.

Original language	English
Title of host publication	Proceedings of the 4th ICSE International Workshop on Predictor Models in Software Engineering (PROMISE'08)
Editors	G. Boetticher, T. Ostrand
Place of Publication	New York USA
Publisher	Association for Computing Machinery
Pages	87-92
Number of pages	6
ISBN (Print)	978-1-60558-036-4
DOIs	https://doi.org/10.1145/1370788.1370808
Publication status	Published - 10 May 2008
Event	4th ICSE International Workshop on Predictor Models in Software Engineering, PROMISE 2008 - Leipzig, Germany Duration: 12 May 2008 → 13 May 2008 Conference number: 4

Publication series

Name
Publisher	ACM
Number	WoTUG-31

Conference

Conference	4th ICSE International Workshop on Predictor Models in Software Engineering, PROMISE 2008
Abbreviated title	Conference on Software Engineering, ICSE
Country/Territory	Germany
City	Leipzig
Period	12/05/08 → 13/05/08

Keywords

SCS-Services
METIS-255010
IR-62617
EWI-14621

Access to Document

10.1145/1370788.1370808

http://portal.acm.org/citation.cfm?id=1370808

Cite this

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title = "Complementing approaches in ERP effort estimation practice: an industrial study",

abstract = "Projects implementing enterprise resource planning (ERP) solutions are characterized by specific context factors such as high level of reuse, scope of the ERP modules, interdependent functionality, and use of vendor-specific standard implementation method, all of which impose risks known to cause various degrees of project failure. We suggest a remedy to this issue by tackling it from a portfolio management perspective. Our solution rests on earlier work by other authors and is a combination of a classic cost estimation method (COCOMO II), a Monte Carlo simulation process, and a portfolio management model. We report on the results of a case study done in a company site in the telecommunication sector.",

keywords = "SCS-Services, METIS-255010, IR-62617, EWI-14621",

author = "Maia Daneva",

year = "2008",

month = may,

day = "10",

doi = "10.1145/1370788.1370808",

language = "English",

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publisher = "Association for Computing Machinery",

number = "WoTUG-31",

pages = "87--92",

editor = "G. Boetticher and T. Ostrand",

booktitle = "Proceedings of the 4th ICSE International Workshop on Predictor Models in Software Engineering (PROMISE'08)",

address = "United States",

note = "4th ICSE International Workshop on Predictor Models in Software Engineering, PROMISE 2008, Conference on Software Engineering, ICSE ; Conference date: 12-05-2008 Through 13-05-2008",

}

Daneva, M 2008, Complementing approaches in ERP effort estimation practice: an industrial study. in G Boetticher & T Ostrand (eds), Proceedings of the 4th ICSE International Workshop on Predictor Models in Software Engineering (PROMISE'08). Association for Computing Machinery, New York USA, pp. 87-92, 4th ICSE International Workshop on Predictor Models in Software Engineering, PROMISE 2008, Leipzig, Germany, 12/05/08. https://doi.org/10.1145/1370788.1370808

Complementing approaches in ERP effort estimation practice: an industrial study. / Daneva, Maia.
Proceedings of the 4th ICSE International Workshop on Predictor Models in Software Engineering (PROMISE'08). ed. / G. Boetticher; T. Ostrand. New York USA: Association for Computing Machinery, 2008. p. 87-92.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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N1 - Conference code: 4

PY - 2008/5/10

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N2 - Projects implementing enterprise resource planning (ERP) solutions are characterized by specific context factors such as high level of reuse, scope of the ERP modules, interdependent functionality, and use of vendor-specific standard implementation method, all of which impose risks known to cause various degrees of project failure. We suggest a remedy to this issue by tackling it from a portfolio management perspective. Our solution rests on earlier work by other authors and is a combination of a classic cost estimation method (COCOMO II), a Monte Carlo simulation process, and a portfolio management model. We report on the results of a case study done in a company site in the telecommunication sector.

AB - Projects implementing enterprise resource planning (ERP) solutions are characterized by specific context factors such as high level of reuse, scope of the ERP modules, interdependent functionality, and use of vendor-specific standard implementation method, all of which impose risks known to cause various degrees of project failure. We suggest a remedy to this issue by tackling it from a portfolio management perspective. Our solution rests on earlier work by other authors and is a combination of a classic cost estimation method (COCOMO II), a Monte Carlo simulation process, and a portfolio management model. We report on the results of a case study done in a company site in the telecommunication sector.

KW - SCS-Services

KW - METIS-255010

KW - IR-62617

KW - EWI-14621

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DO - 10.1145/1370788.1370808

M3 - Conference contribution

SN - 978-1-60558-036-4

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BT - Proceedings of the 4th ICSE International Workshop on Predictor Models in Software Engineering (PROMISE'08)

A2 - Boetticher, G.

A2 - Ostrand, T.

PB - Association for Computing Machinery

CY - New York USA

T2 - 4th ICSE International Workshop on Predictor Models in Software Engineering, PROMISE 2008

Y2 - 12 May 2008 through 13 May 2008

ER -

Complementing approaches in ERP effort estimation practice: an industrial study

Abstract

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Conference

Keywords

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Cite this