Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Effort estimation for ERP projects - a systematic review
Date
2017-09-01
Author
Omural, Neslihan Kucukates
Demirörs, Onur
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
238
views
0
downloads
Cite This
Enterprise Resource Planning (ERP) systems are large scale integrated systems covering most of the business processes of an enterprise. ERP projects differ from software projects with customization, modification, integration and data conversion phases. Most of the time effort and time estimations are performed in an ad-hoc fashion in ERP projects and as a result they frequently suffer from time and budget overruns. Although there is no consensus on a methodology to estimate size, effort and cost of ERP projects there are various research studies in the field. The purpose of this paper is to review the literature on effort estimation methods for ERP projects, their validations and limitations. The systematic literature review used online journal indexes between January 2000 and December 2016. Studies focusing on effort estimation for ERP projects were selected. Two reviewers assessed all studies and 41 were shortlisted. In most of the studies, cost factors for ERP projects were investigated and validated. Our findings showed that effort estimation methods have mostly used function points as an input. Validations of these methods were mostly done by using history-based validation approaches.
Subject Keywords
Systematic literature review
,
Enterprise resource planning
,
Effort estimation
URI
https://hdl.handle.net/11511/57450
DOI
https://doi.org/10.1109/seaa.2017.68
Conference Name
43rd Euromicro Conference on Software Engineering and Advanced Applications (SEAA)
Collections
Graduate School of Informatics, Conference / Seminar
Suggestions
OpenMETU
Core
Exploring reuse levels in ERP projects in search of an effort estimation approach
Demirörs, Onur; Omural, Neslihan Kucukates (2018-08-31)
Enterprise Resource Planning (ERP) projects have special characteristics that differentiate them from other kinds of software projects. Main difference that affects effort estimation results is high reuse rates of ERP projects. This paper presents our exploratory work to establish an approach to calculate reuse reflective size of ERP projects, which could be a primary input for effort estimation. We explored the usability of COSMIC function points as the base unit and its convertibility to reuse reflective ...
Requirements Engineering for Cloud Systems: A Mapping Study Design
Wanderley, Fernando; Souza, Eric; Goulao, Miguel; Araujo, Joao; Cysneiros, Gilberto; Misra, Ananya (2017-07-06)
Cloud Computing gets increasingly established in industrial practice as an option for modelling cost-efficient and demand-oriented information systems. Despite the increasing acceptance of cloud computing within the industry, many important questions remain unanswered. Issues related to the best software architectures decisions for cloud-based systems are faced with the question of appropriate techniques applying at early phase like requirements engineering. The goal of this paper defines a design of a mapp...
EFES: An Effort Estimation Methodology
Tunalilar, Seckin; Demirörs, Onur (2012-10-19)
The estimation of effort is at the heart of project tasks, since it is used for many purposes such as cost estimation, budgeting, monitoring, project planning, control and software investments. Researchers analyze problems of the estimation, propose new models and use new techniques to improve estimation accuracy. However, effort estimation problem is not only computational but also a managerial problem and we need a defined estimation methodology to guide companies in their effort estimation tasks. Managem...
A Quality model for cloud-based enterprise information systems
Şener, Umut; Eren, Pekin Erhan; Department of Information Systems (2016)
Organizations have migrated from on-premise enterprise information systems to Cloud-based Enterprise Information Systems (Cloud-EIS) due to the benefits of cloud computing, such as flexibility, availability on demand, and interdependence in information technology infrastructure. Accordingly, enterprises perceive the significance of the quality of Cloud-EIS for improving their businesses, and they pay more attention to selecting the suitable Cloud-EIS. Having looked at the extensive literature, only a few re...
Efes: an effort estimation methodology
Tunalılar, Seçkin; Demirörs, Onur; Department of Information Systems (2011)
The estimation of effort is at the heart of project tasks, since it is used for many purposes such as cost estimation, budgeting, monitoring, project planning, control and software investments. Researchers analyze problems of the estimation, propose new models and use new techniques to improve accuracy. However up to now, there is no comprehensive estimation methodology to guide companies in their effort estimation tasks. Effort estimation problem is not only a computational but also a managerial problem. I...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
N. K. Omural and O. Demirörs, “Effort estimation for ERP projects - a systematic review,” presented at the 43rd Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Vienna, AUSTRIA, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/57450.