[vc_empty_space][vc_empty_space]
Measurement of the quality of an FCO-IM conceptual data model
Azizah F.N.a, Bakema G.P.b, Sitohang B.a, Santoso O.S.a
a School of Electrical Engineering and Informatics, Bandung Institute of Technology Jln, Indonesia
b Faculty of Engineering, Institute of Information Technology, Media and Communication, HAN University of Applied Sciences, Netherlands
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]Data models provide the foundation to organization’s activities since they support the organization’s systems and data. Therefore, the quality of the data models is foremost. We describe a methodology to measure the quality of conceptual data models created using a fact oriented data modeling called Fully Communication Oriented Information Modeling (FCO-IM). The measurement method is based on the framework to measure the quality of conceptual model by Lindland et al. Four components are to be considered in the measurement: domain, model, language, and audience interpretation. The quality are measured on three aspects: syntactic quality (measured by syntax correctness), semantic quality (measured by feasible validity and feasible completeness), and pragmatic quality (measured by feasible comprehension). The method is then used to determine the quality of several FCO-IM conceptual data models that were created using a pattern language of conceptual data models, a new method in data modeling that we are currently researching. The method contributes in data modeling area by providing a quantitative and instructive way of measuring the quality of conceptual data models, especially in FCO-IM.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Conceptual data model,Conceptual model,Data modeling,FCO-IM,Measurement,Pattern,Quality[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.15676/ijeei.2010.2.4.7[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]