An e-Process selection model

Authors:
Roland Kaschek;Frina Albertyn;Vladimir A. Shekhovtsov;Sergiy Zlatkin
Affiliations:
Massey University, New Zealand;Eastern Institute of Technology, Napier, New Zealand;National Technical University "KPI", Kharkiv, Ukraine;Massey University, New Zealand
Venue:
ER '07 Tutorials, posters, panels and industrial contributions at the 26th international conference on Conceptual modeling - Volume 83
Year:
2007

Citing 8
Cited 0

Cathedral & the Bazaar: Musings on Linux and Open Source by an Accidental Revolutionary

Cathedral & the Bazaar: Musings on Linux and Open Source by an Accidental Revolutionary
Principles of Information Systems for Management

Principles of Information Systems for Management
A characterization of OOA tools

SAST '96 Proceedings of the Proceedings of the Fourth International Symposium on Assessment of Software Tools (SAST '96)
Trade-offs between Productivity and Quality in Selecting Software Development Practices

IEEE Software
A quality-driven systematic approach for architecting distributed software applications

Proceedings of the 27th international conference on Software engineering
Tradeoff and Sensitivity Analysis in Software Architecture Evaluation Using Analytic Hierarchy Process

Software Quality Control
Ontology for the selection of e-processes

WISE'05 Proceedings of the 2005 international conference on Web Information Systems Engineering
BPR implementation: a decision-making strategy

BPM'05 Proceedings of the Third international conference on Business Process Management

Quantified Score

Hi-index	0.00

Visualization

Abstract

A number of e-Processes (i.e. software processes for developing e-Commerce information systems) exist in industry. We presuppose that for a subclass of these their targeted quality is considered as a driving force of system development. The complexity of selecting a well-suited e-Process for a case at hand is thus increased as e-Process knowledge needs to be blended with system quality knowledge. We suggest an approach for selecting a best suited one out of a set of admissible e-Processes using the Analytic Hierarchy Process for knowledge blending and discuss how the data generated can be used for assuring the sensibility of the selection. We explain the AHP-based selection procedure, tradeoff- and sensitivity analysis; briefly discuss a case study and the applicability of this approach.