Abstract
| Original language | Undefined |
|---|---|
| Title of host publication | 2013 Joint Conference of the 23rd International Workshop on Software Measurement and the 8th International Conference on Software Process and Product Measurement |
| Editors | O. Demirors, A. Abran |
| Place of Publication | USA |
| Publisher | IEEE Computer Society |
| Pages | 104-109 |
| Number of pages | 6 |
| ISBN (Print) | 978-0-7695-5078-7 |
| DOIs | |
| Publication status | Published - 23 Oct 2013 |
| Event | 2013 Joint Conference of the 23rd International Workshop on Software Measurement and the 2013 8th International Conference on Software Process and Product Measurement, IWSM-Mensura 2013 - Ankara, Turkey Duration: 23 Oct 2013 → 26 Oct 2013 |
Publication series
| Name | |
|---|---|
| Publisher | IEEE Computer Society |
Conference
| Conference | 2013 Joint Conference of the 23rd International Workshop on Software Measurement and the 2013 8th International Conference on Software Process and Product Measurement, IWSM-Mensura 2013 |
|---|---|
| Abbreviated title | IWSM-Mensura |
| Country | Turkey |
| City | Ankara |
| Period | 23/10/13 → 26/10/13 |
Keywords
- SCS-Services
- EWI-25389
- Effort Estimation
- Memory Bias
- Empirical Research Method
- Empirical Study
- METIS-309704
- Project Estimation
- IR-93997
- Bias Correction Techniques
- Action Research
- Expert Judgements
- Enterprise Resource Planning
Cite this
}
ERP Effort Estimation Based on Expert Judgments. / Erasmus, I.P.; Daneva, Maia.
2013 Joint Conference of the 23rd International Workshop on Software Measurement and the 8th International Conference on Software Process and Product Measurement. ed. / O. Demirors; A. Abran. USA : IEEE Computer Society, 2013. p. 104-109.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - ERP Effort Estimation Based on Expert Judgments
AU - Erasmus, I.P.
AU - Daneva, Maia
N1 - The research project is EFFES (with the SAP company) The first author is an external PhD student, an employee of SAP.
PY - 2013/10/23
Y1 - 2013/10/23
N2 - A new technology shift brings to the ERP domain a change in the industry and a new platform build on in-memory optimized databases, introduced and known as SAP HANA [1]. This technology shift in the ERP domain led to SAP's ERP on HANA, the solution where the ERP suite is offered on the same platform as ERP Services such as Business Analytics. The integration of ERP Services and the ERP suite brings to the industry new opportunities to "fine tune" customer and industry specific business processes. This radical shift in innovation brings with it new challenges in terms of ERP effort estimation. No longer can we rely on a single method such as functional size measurement methods, due to the wide range of customization possibilities. This shift from a typical predefined solution scope to a highly customizable landscape poses a challenge to project estimation practitioners as the functional size estimation techniques used in the past for ERP solutions address a fixed scope deployable in multiple landscapes, and hence are no longer suitable for dynamically definable scope. Today's highly volatile and customized ERP landscape demands a new approach to estimate effort by leveraging ERP professionals' tacit knowledge and expert judgments. This paper presents the ERP Service estimation method that leverages the strengths of expert-judgment-based estimation techniques while using a more structured approach to reduce the effects of expert bias and avoid common pitfalls associated with judgment-based estimation.
AB - A new technology shift brings to the ERP domain a change in the industry and a new platform build on in-memory optimized databases, introduced and known as SAP HANA [1]. This technology shift in the ERP domain led to SAP's ERP on HANA, the solution where the ERP suite is offered on the same platform as ERP Services such as Business Analytics. The integration of ERP Services and the ERP suite brings to the industry new opportunities to "fine tune" customer and industry specific business processes. This radical shift in innovation brings with it new challenges in terms of ERP effort estimation. No longer can we rely on a single method such as functional size measurement methods, due to the wide range of customization possibilities. This shift from a typical predefined solution scope to a highly customizable landscape poses a challenge to project estimation practitioners as the functional size estimation techniques used in the past for ERP solutions address a fixed scope deployable in multiple landscapes, and hence are no longer suitable for dynamically definable scope. Today's highly volatile and customized ERP landscape demands a new approach to estimate effort by leveraging ERP professionals' tacit knowledge and expert judgments. This paper presents the ERP Service estimation method that leverages the strengths of expert-judgment-based estimation techniques while using a more structured approach to reduce the effects of expert bias and avoid common pitfalls associated with judgment-based estimation.
KW - SCS-Services
KW - EWI-25389
KW - Effort Estimation
KW - Memory Bias
KW - Empirical Research Method
KW - Empirical Study
KW - METIS-309704
KW - Project Estimation
KW - IR-93997
KW - Bias Correction Techniques
KW - Action Research
KW - Expert Judgements
KW - Enterprise Resource Planning
U2 - 10.1109/IWSM-Mensura.2013.25
DO - 10.1109/IWSM-Mensura.2013.25
M3 - Conference contribution
SN - 978-0-7695-5078-7
SP - 104
EP - 109
BT - 2013 Joint Conference of the 23rd International Workshop on Software Measurement and the 8th International Conference on Software Process and Product Measurement
A2 - Demirors, O.
A2 - Abran, A.
PB - IEEE Computer Society
CY - USA
ER -