The Life Cycle of Test Cases in a CBR System

Minor, Mirjam; Hanft, Alexandre

doi:10.1007/3-540-44527-7_39

Cited by 11 publications

(9 citation statements)

References 8 publications

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“…On the other hand, when adding a new case to a case base or merging a case with existing case in the case base, it requires the support of the case base management. Up to date, a great deal of research effort has been devoted to case base maintenance [8][9][10]. The research has focused on a number of crucial issues such as the case life cycle, redundancy detection, and adding/deleting cases to/from a case base.…”

Section: Maintaining the Case Basementioning

confidence: 99%

Automated case creation and management for diagnostic CBR systems

2007

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With the rapid development of case-based reasoning (CBR) techniques such as case retrieval and case adaptation, CBR has been widely applied to various real-world applications. A successful case-based reasoning system requires a high-quality case base, which provides rich and efficient solutions for solving real-world problems. How to automatically create and manage such a case base is a vital but unsolved problem. This paper tackles this important problem. We proposed a methodology for creating cases from readily available large-sized databases, which were collected in the routine operations. Building on techniques from casebased reasoning and natural language processing, we present a methodology for automatically creating cases at THE initial stage of a CBR system development. After the detailed description of the methodology, we introduce a case study for validating the usefulness of the methodology. The experimental results show that the proposed methodology significantly reduces the human effort required for authoring cases, and we are able to automatically create the high-quality cases for diagnostic CBR systems from historic maintenance and operational data at the initial stage of system development.

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Section: Maintaining the Case Basementioning

confidence: 99%

Automated case creation and management for diagnostic CBR systems

2007

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“…This grouping of messages represents a set of symptoms that describe a potential or real problem. By matching a snag message to an FEO one can craft a case that describes the problem, identifies the symptoms present for this problem and shows 1 IDS is an applied artificial intelligent system that supports the decision-making process in aircraft fleet maintenance. 2 A snag is a common term for an equipment problem in the aviation area.…”

Section: Background Informationmentioning

confidence: 99%

“…To date a great deal of research effort has been devoted to case base maintenance [3] [4][5] [6][7] [9] in CBR systems. This research has focused on a number of crucial issues such as the case life cycle [1], the optimization of the case indices [2] and so on. Some of the earliest case base maintenance works [4] [5] look at the development of maintenance strategies for deleting/adding cases from/to existing case bases.…”

Section: Introductionmentioning

confidence: 99%

Automated Case Base Creation and Management

Yang

Orchard

Farley

et al.

Developments in Applied Artificial Intelligence

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In this paper, we report on a scheme for automated case base creation and management. The scheme aims at reducing the difficulty and human effort required for case creation. This paper provides an overview of the proposed scheme and outlines its technical implementation as an automated case creation system for the Integrated Diagnostic System. Some experimental results for testing the scheme and an interactive tool for evaluating the constructed case base are presented.

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“…To date a great deal of research effort has been devoted to case base maintenance [4,5,6,7,9,10,12] in CBR systems. This research has focused on a number of crucial issues such as the case life cycle [5], the optimization of the case indices [12] and so on.…”

Section: Related Workmentioning

confidence: 99%

“…This research has focused on a number of crucial issues such as the case life cycle [5], the optimization of the case indices [12] and so on. Some of the earliest case base maintenance works [9,10] look at the development of maintenance strategies for deleting/adding cases from/to existing case bases.…”

Section: Related Workmentioning

confidence: 99%

Authoring Cases from Free-Text Maintenance Data

Yang

Orchard

Farley

et al.

Machine Learning and Data Mining in Pattern Recognition

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Automatically authoring or acquiring cases in the case-based reasoning (CBR) systems is recognized as a bottleneck issue that can determine whether a CBR system will be successful or not. In order to reduce human effort required for authoring the cases, we propose a framework for authoring the case from the unstructured, free-text, historic maintenance data by applying natural language processing technology. This paper provides an overview of the proposed framework, and outlines its implementation, an automated case creation system for the Integrated Diagnostic System. Some experimental results for testing the framework are also presented.

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The Life Cycle of Test Cases in a CBR System

Cited by 11 publications

References 8 publications

Automated case creation and management for diagnostic CBR systems

Automated case creation and management for diagnostic CBR systems

Automated Case Base Creation and Management

Authoring Cases from Free-Text Maintenance Data

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