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ASSESSING THE QUALITY OF LEGACY APPLICATIONS WITH PERSISTENT DATA: ASSESSING THE BASELINE FOR SYSTEM MIGRATION
Author(s) -
Campbell Pamela D.
Publication year - 1996
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.1996.tb02105.x
Subject(s) - computer science , data quality , taxonomy (biology) , baseline (sea) , data science , database , quality (philosophy) , data mining , engineering , metric (unit) , philosophy , operations management , botany , oceanography , epistemology , biology , geology
Consistent comparison of applications which store data, written in different languages and using varying types of Database Management Systems, requires an assessment that measures the system(s) in accordance with a well defined, repeatable set of criteria. This paper describes a tool and methodology (MARS) for identifying the lifecycle risks related to data within existing applications, and describes the taxonomy of data quality assumed during the development of the assessment methodology. An example question is shown, with the rationale and method for applying the question. The relationship of the data quality taxonomy is also described in terms of database focus areas, such as data integrity and data dictionary, that are of interest to those working operationally with databases.