Measuring software design quality
Measuring software design quality
Applied software measurement: assuring productivity and quality
Applied software measurement: assuring productivity and quality
Reliability of function points measurement: a field experiment
Communications of the ACM
Quantitative models of cohesion and coupling in software
Selected papers of the sixth annual Oregon workshop on Software metrics
Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
Cost estimation based on business models
Journal of Systems and Software
Our experience and learning in ERP implementation
ACM SIGSOFT Software Engineering Notes
Document Methodology
Measuring Programmer Productivity and Software Quality
Measuring Programmer Productivity and Software Quality
Software Engineering Economics
Software Engineering Economics
Sap R/3 Process Oriented Implementation
Sap R/3 Process Oriented Implementation
Conceptual modeling of applied research projects
Conceptual modeling of applied research projects
SAP R/3 Business Blueprint - The Complete Video Course
SAP R/3 Business Blueprint - The Complete Video Course
Identifying critical success factors of ERP systems at the higher education sector
ISIICT'09 Proceedings of the Third international conference on Innovation and Information and Communication Technology
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Post-implementation analysis on Enterprise Resource Planning (ERP) systems has drawn attention to many structural shortcomings. Yet, no framework exists to compare the different structural features of the ERP system. This paper develops a framework to compare different enterprise-wide systems at the conceptual design level using size, coupling and architectural complexity as criteria. Since, metrics used to measure these criteria are subjected to individual interpretation, a statistical technique using repeated measures design is used to validate the results of multiple evaluators. The framework was applied to the comparison of two enterprise-wide system implementations at the conceptual design level. One was a typical ERP, and the other was a document- based system. A conceptual model was developed for the two methodologies using Unified Modeling Language (UML). Ten evaluators, all graduate students with the knowledge of UML were given the conceptual models of both systems and were instructed to apply the metrics. The evaluators performed the evaluations separately and were under no time restriction. Their results were used in the repeated measures design. Based on the results, TDM was smaller in size, more loosely coupled and less complex as compared to the ERP model. The framework successfully demonstrated that it can differentiate between two different implementations on the basis of their size, module coupling and architectural complexity. This framework presents a quantifiable technique that helps in informed decision making prior to a major financial commitment.