Evaluating Introduction of Systems by Goal Dependency Modeling

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Published by the IEICE: IEICE Transactions Online.

Abstract

Before introducing systems to an activity in a business or in daily life, the effects of these systems should first be carefully examined by analysts. Thus, methods for examining such effects are required at the early stage of requirements analysis. In this study, we propose and evaluate an analysis method using a modeling notation for this purpose, called goal dependency modeling and analysis (GDMA). In an activity, an actor, such as a person or a system, expects a goal to be achieved. The actor or another actor will achieve this goal. We focus herein on such a goal and the two different roles played by the actors. In GDMA, the dependencies in the roles of the two actors about a goal are mainly represented. GDMA enables analysts to observe the change of actors, their expectations, and abilities by using metrics. Each metric is defined on the basis of the GDMA metamodel. Therefore, GDMA enables them to decide whether the change is good or bad both quantitatively and qualitatively for the people. We evaluate GDMAby describing models of the actual system introduction written in the literatures and explain the effects caused by this introduction. In addition, CASE tools are crucial in efficiently and accurately performing GDMA. Hence, we develop its tools by extending an existing UML modeling tool.

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This work builds on

• International Conference Early Requirements Analysis for a Socio-Technical System based on Goal Dependencies SOMET 2016

BibTeX

@article{kaiya-ieicet202410,
    author = {Haruhiko Kaiya and Shinpei Ogata and Shinpei Hayashi},
    title = {Evaluating Introduction of Systems by Goal Dependency Modeling},
    journal = {IEICE Transactions on Information and Systems},
    volume = {E107-D},
    number = 10,
    pages = {1297--1311},
    doi = {10.1587/transinf.2023EDP7201},
    year = 2024,
}