Book contents
- Frontmatter
- Contents
- Preface
- Introduction
- CONSULTANT: providing advice for the machine learning toolbox
- A methods model for the integration of KBS and conventional information technology
- KBS methodology as a framework for co-operative working
- Project management for the evolutionary development of expert systems
- The specification and development of rule-based expert systems
- Towards a method for multi-agent system design
- Jigsaw: configuring knowledge acquisition tools
- On the relationship between repertory grid and term subsumption knowledge structures: theory practice tools
- Strategy maze: an on-line tool for support management of the knowledge acquisition process
- Concurrent engineering using collaborating truth maintenance systems
- Ockham's razor as a gardening tool
- A designer's consultant
- Fairness of attribute selection in probabilistic induction
- An application of case-based expert system technology to dynamic job-shop scheduling
- Neural network design via LP
- KEshell2: an intelligent learning data base system
- Approaches to self-explanation and system visibility in the context of application tasks
- An object oriented approach to distributed problem solving
- Intelligent user interface for multiple application systems
- Combining qualitative and quantitative information for temporal reasoning
- Documents as expert systems
Project management for the evolutionary development of expert systems
Published online by Cambridge University Press: 04 August 2010
- Frontmatter
- Contents
- Preface
- Introduction
- CONSULTANT: providing advice for the machine learning toolbox
- A methods model for the integration of KBS and conventional information technology
- KBS methodology as a framework for co-operative working
- Project management for the evolutionary development of expert systems
- The specification and development of rule-based expert systems
- Towards a method for multi-agent system design
- Jigsaw: configuring knowledge acquisition tools
- On the relationship between repertory grid and term subsumption knowledge structures: theory practice tools
- Strategy maze: an on-line tool for support management of the knowledge acquisition process
- Concurrent engineering using collaborating truth maintenance systems
- Ockham's razor as a gardening tool
- A designer's consultant
- Fairness of attribute selection in probabilistic induction
- An application of case-based expert system technology to dynamic job-shop scheduling
- Neural network design via LP
- KEshell2: an intelligent learning data base system
- Approaches to self-explanation and system visibility in the context of application tasks
- An object oriented approach to distributed problem solving
- Intelligent user interface for multiple application systems
- Combining qualitative and quantitative information for temporal reasoning
- Documents as expert systems
Summary
Abstract
The development of expert systems is inherently uncertain and so involves a high degree of risk. This paper describes a project management method that helps manage this uncertainty. It has been tailored to the Client Centred Approach — an expert system development method that is being designed for use by small and medium sized enterprises. This context implies that the management technique and its accompanying documentation must not over burden the resources of a smaller developer. The helix method of project management introduced in this paper represents a different view of Boehm's Spiral Model. It accepts that conventional linear project planning methods are not always suitable for developers of expert systems. Having accepted this, the helix method allows plans to be made for each development stage within the Client Centred Approach. We believe the Client Centred Approach is applicable wherever prototyping is used, and we contrast it with the methods being developed by KADS-II.
INTRODUCTION
This paper describes proposals for handling project management within the Client Centred Approach (CCA). The principles of the CCA are described in Basden [1989]. The thinking behind the approach, and its current state of development, are described in greater detail in Basden et al. [1991] and Watson et al. [1992]. Although the technique described here is applicable for any project that uses prototyping to develop a system (around forty five per cent of all commercial expert system projects according to a recent survey [DTI, 1992]), it has been developed specifically for small and medium sized enterprises (SMEs), rather than larger organisations.
- Type
- Chapter
- Information
- Research and Development in Expert Systems IX , pp. 61 - 74Publisher: Cambridge University PressPrint publication year: 1993
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