62 research outputs found
Towards a Model for Spatio-Temporal Schema Selection
No full textSchema versioning provides a mechanism for handling change in the structure of database systems and has been investigated widely, both in the context of static and temporal databases. With the growing interest in spatial and spatio-temporal data as well as the mechanisms for holding such data, the spatial context within which data is formatted also becomes an issue. This paper presents a generalised model that accommodates schema versioning within static, temporal, spatial and spatio-temporal relational and object-oriented databases
On the correlation between process model metrics and errors
No full textBusiness process models play an important role for the management, design, and improvement of process organizations and process-aware information systems. Despite the extensive application of process modeling in practice there are hardly empirical results available on quality aspects of process models. This paper aims to advance the understanding of this matter by analyzing the connection between formal errors (such as deadlocks) and a set of metrics that capture various structural and behavioral aspects of a process model. In particular we discuss the hypothetical relationship between errors and metrics, and provide a validation of correlation based on an extensive sample of EPC process models from practice. The strong connection between metrics and errors has considerable consequences for the design of future modeling guidelines and modeling tools
On the correlation between process model metrics and errors
No full textBusiness process models play an important role for the management, design, and improvement of process organizations and process-aware information systems. Despite the extensive application of process modeling in practice there are hardly empirical results available on quality aspects of process models. This paper aims to advance the understanding of this matter by analyzing the connection between formal errors (such as deadlocks) and a set of metrics that capture various structural and behavioral aspects of a process model. In particular we discuss the hypothetical relationship between errors and metrics, and provide a validation of correlation based on an extensive sample of EPC process models from practice. The strong connection between metrics and errors has considerable consequences for the design of future modeling guidelines and modeling tools
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