To extract learning order dependencies, we propose a method for analyzing growth trajectories. Due to limitations of the ISM-based method, weaker dependencies considered negligible for most learners' growth are likely to be lost. The proposed method, which is based on sequential pattern mining and minimum support, is expected to extract such dependencies. In addition, for complex dependencies, we can uniquely determine learning order by applying a pruning method based on supports. A case study of offshore software development is also discussed to verify the applicability of the proposed method.

SUMMARYTo create criteria for the activities involved in offshore software development, this paper proposes a method to visualize the status of an organization. The basic premises in this research are that there are 12 capabilities and each capability has five levels. First, this paper introduces a knowledge management system called SPICE, which has a visualization function. The function includes the growth path of an individual, the growth path of a group, and a dependency structure. Then, to explain the use of method in the realm of offshore software development, this paper describes an experimental analysis and the accompanying visualization. The future possibilities of the method are also examined in detail. C⃝

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