The importance of collaboration in the supply chain has led scholars to suggest diverse approaches for problems in the collaboration process. Questions still remain about which method is best when coordinating and sharing information in the presence of various supply and demand uncertainties. Hence, this paper aims to propose an integrated framework based on multi-agent collaboration and case-b...

Successful preservation of content requires sophisticated mechanisms for collecting, tracking and analyzing information about a multitude of relevant aspects. This is not limited to content itself, but also tracking of available software, other organization’s content, usage statistics and trends, format risks, systems operations and many more. Such tracking requires a flexible system that suppo...

Based on the threat-driven architectural design of secure information systems, this paper introduces an approach for the tradeoff analysis of secure software architectures in order to determine the effects of security requirements on the system. We use a case study on a payroll information system (PIS) to show the approach from misuse case identification through the architecture tradeoff analys...

Pairwise testing is one of very practical and effective testing methods for various types of software systems. This paper proposes a novel debugging method based on pairwise testing. By analyzing the test cases and retesting with some complementary test cases, the method can narrow the factors that cause the errors in a very small range. So it can provide a very efficient and valuable guidance ...

We report means for simplifying case instances in a case-based reasoning system for criminal summary judgments in Taiwan. We merge similar case instances, remove irrelevant terms, and weight important terms. The best method combination reduces the size of the case database by more than 60% of the most complete case database while maintaining the classification quality at about 80%.

The ability of a CBR system to evaluate its own confidence in a proposed solution is likely to have an important impact on its problem solving and reasoning ability; if nothing else it allows a system to respond with “I don’t know” instead of suggesting poor solutions. This ability is especially important in interactive CBR recommender systems because to be successful these systems must build t...

This paper focuses on the problem of choosing the best match among a set of retrieved cases. The Select step is subtask of case retrieval that produces the case that suggests the solution for the input case. There are many different ways to accomplish this task and we propose an automatic means for it. Following the original motivation of paralleling the human similarity heuristic we argue that...

Track circuit coding can be realized by Train Control Center in Highspeed Railway to keep the train running safe. This paper looks into the track circuit coding method using expert system, in which the reasoning process of track circuit coding was realized using software simulation with the data of Beijing-Shanghai High Speed Railway. Combined with test cases, the joint debugging is realized an...