Context & motivation: To develop information systems providing high business value, we should clarify As-is business processes and information systems supporting them, identify the problems hidden in them, and develop To-be information systems so that the identified problems can be solved. Question/problem: In this development, we need a technique to support the identification of the problems, which can be seamlessly connected to the modeling techniques. Principal ideas/results: In this paper, to define metrics to extract problems of the As-is system, following the domains specific to it, we propose the combination of Goal-Question-Metric (GQM) with existing requirements analysis techniques. Furthermore, we integrate goal-oriented requirements analysis (GORA) with problem frames approach and use case modeling to define the metrics of measuring the problematic efforts of human actors in the As-is models. This paper includes a case study of a reporting operation process at a brokerage office to check the feasibility of our approach. Contribution: Our contribution is the proposal of using of GQM to identify the problems of an As-is model specified with the combination of GORA, use case modeling, and problem frames.
CITATION STYLE
Ito, S., Hayashi, S., & Saeki, M. (2017). How can you improve your as-is models? Requirements analysis methods meet GQM. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10153 LNCS, pp. 95–111). Springer Verlag. https://doi.org/10.1007/978-3-319-54045-0_8
Mendeley helps you to discover research relevant for your work.