A structured approach to expert systems development: The methodology and a real world case study

1990 ◽  
Vol 28 (1-5) ◽  
pp. 191-196 ◽  
Author(s):  
P. Grimaldi ◽  
A. Marcelli
Keyword(s):  
Expert Systems ◽  
Real World ◽  
Systems Development ◽  
Structured Approach

Introducing and Promoting Human Factors in the Real World: A Case Study

1987 ◽  
Vol 31 (7) ◽  
pp. 732-735 ◽  
Author(s):  
Linda Rich
Keyword(s):  
Human Factors ◽  
Real World ◽  
Development Process ◽  
Organizational Context ◽  
Pilot Project ◽  
Systems Development ◽  
The Real ◽  
Underlying Causes ◽  
Human Factors Research

The application of human factors research outside academic and vendor domains has been limited, with corporate systems development departments often unaware of the field. Introducing human factors within a corporation requires addressing organizational context issues in the particular setting. At Chemical Bank a pilot project was conducted to introduce and promote the application of human factors in the design of interactive computer systems. The project involved comparative usability evaluations of existing systems, and development of recommendations for institutionalizing human factors within the development process. The project sought to tailor recommendations to the organizational context. This paper discusses the Chemical Bank project and presents an analysis of the underlying causes limiting the use of human factors techniques in that organization.

A Case Study of Project Champion Departure in Expert Systems Development

2002 ◽  
pp. 333-351 ◽  
Author(s):  
Janice C. Sipior
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Competitive Advantage ◽  
Customer Service ◽  
Systems Development ◽  
Sales Representatives ◽  
Optical Brightener ◽  
Vital Force

Research on project champions has focused on the characteristics of this individual and how to provide encouragement and support. An understanding of the role of project champion is shortsighted, however, without a realization of what can happen to an expert system (ES) project and what can be done, should this individual depart. This paper discusses the ES project champion by examining the experiences of Ciba-Geigy Corporation with an ES project impeded by the departure of the project champion. The OpBright expert system, developed to support the identification of appropriate optical brightener products by sales representatives, was intended to provide a competitive advantage through superior customer service. With the promotion and transfer of the vital force committed to the project’s success, the ES encountered a stalemate. The difficulties in maintaining momentum for the ES without a project champion are discussed. Finally, suggestions are presented to guide organizations away from the same fate.

scholarly journals Mind Your Outcomes: The ∆Q approach to Quality-Centric Systems Development and Its Application to a Blockchain Case-Study

2021 ◽  
Author(s):  
Seyed Hossein HAERI ◽  
Peter Thompson ◽  
Neil Davies ◽  
Peter Van Roy ◽  
Kevin Hammond ◽  
...  
Keyword(s):  
Real World ◽  
Large Scale ◽  
Critical Issue ◽  
Systems Development ◽  
Software Systems ◽  
Design Decisions ◽  
Detailed Design ◽  
Distributed Software ◽  
Design And Implementation

This paper directly addresses a critical issue that affects the development of many complex distributed software systems: how to establish quickly, cheaply and reliably whether they will deliver their intended performance before expending significant time, effort and money on detailed design and implementation. We describe ΔQSD, a novel metrics-based and quality-centric paradigm that uses formalised outcome diagrams to explore the performance consequences of design decisions, as a performance blueprint of the system. The ΔQSD paradigm is both effective and generic: it allows values from various sources to be combined in a rigorous way, so that approximate results can be obtained quickly and subsequently refined. ΔQSD has been successfully used by Predictable Network Solutions for consultancy on large-scale applications in a number of industries, including telecommunications, avionics, and space and defence, resulting in cumulative savings of $Bs. The paper outlines the ΔQSD paradigm, describes its formal underpinnings, and illustrates its use via a topical real-world example taken from the blockchain/cryptocurrency domain, where application of this approach enabled an advanced distributed proof-of-stake system to meet challenging throughput targets.

Qualitative Case Study Research Design

2015 ◽  
Vol 25 (1) ◽  
pp. 39-45 ◽  
Author(s):  
Jennifer Tetnowski
Keyword(s):  
Research Design ◽  
Real World ◽  
Qualitative Case Study ◽  
Case Study Research ◽  
Study Research

Qualitative case study research can be a valuable tool for answering complex, real-world questions. This method is often misunderstood or neglected due to a lack of understanding by researchers and reviewers. This tutorial defines the characteristics of qualitative case study research and its application to a broader understanding of stuttering that cannot be defined through other methodologies. This article will describe ways that data can be collected and analyzed.

scholarly journals Reservoir Sediment Management Using Artificial Neural Networks: A Case Study of the Lower Section of the Alpine Saalach River

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 818
Author(s):  
Markus Reisenbüchler ◽  
Minh Duc Bui ◽  
Peter Rutschmann
Keyword(s):  
Real World ◽  
Close Correlation ◽  
Critical Issue ◽  
Management Tool ◽  
Lower Section ◽  
Reservoir Sediment ◽  
Efficiency And Effectiveness ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Reservoir sedimentation is a critical issue worldwide, resulting in reduced storage volumes and, thus, reservoir efficiency. Moreover, sedimentation can also increase the flood risk at related facilities. In some cases, drawdown flushing of the reservoir is an appropriate management tool. However, there are various options as to how and when to perform such flushing, which should be optimized in order to maximize its efficiency and effectiveness. This paper proposes an innovative concept, based on an artificial neural network (ANN), to predict the volume of sediment flushed from the reservoir given distinct input parameters. The results obtained from a real-world study area indicate that there is a close correlation between the inputs—including peak discharge and duration of flushing—and the output (i.e., the volume of sediment). The developed ANN can readily be applied at the real-world study site, as a decision-support system for hydropower operators.

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