The use of bibliometric and knowledge elicitation techniques to map a knowledge domain: Software Engineering in the 1990s

2005 ◽  
Vol 65 (1) ◽  
pp. 131-144 ◽  
Author(s):  
Katherine W. McCain ◽  
June M. Verner ◽  
Gregory W. Hislop ◽  
William Evanco ◽  
Vera Cole
Keyword(s):  
Software Engineering ◽  
Knowledge Elicitation ◽  
Knowledge Domain

Combining Software Engineering Elicitation Technique with the Knowledge Management Lifecycle

2012 ◽  
Vol 3 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Diana-Marcela Vásquez-Bravo ◽  
Maria-Isabel Sánchez-Segura ◽  
Fuensanta Medina-Domínguez ◽  
Antonio Amescua
Keyword(s):  
Knowledge Management ◽  
Software Engineering ◽  
Knowledge Creation ◽  
Knowledge Elicitation ◽  
Elicitation Process ◽  
The Relationship ◽  
Epistemological Dimension

Knowledge elicitation process allows acquiring and transferring the knowledge. This process presents difficulties to select the appropriate elicitation technique. This paper presents a classification of the elicitation techniques used in software engineering and the relationship between the elicitation techniques and some elements of knowledge management as assets knowledge, epistemological dimension of knowledge and the knowledge creation phases. This classification provides a guideline to select a technique or a set of techniques for knowledge elicitation based on phases of Nonaka’s model.

Knowledge elicitation for software engineering expertise

2005 ◽  
pp. 283-296 ◽  
Author(s):  
Julian S. Weitzenfeld ◽  
Thomas R. Riedl ◽  
Jared T. Freeman ◽  
Gary A. Klein ◽  
John Musa
Keyword(s):  
Software Engineering ◽  
Knowledge Elicitation

Product Patterns to Support Knowledge Acquisition Management

2014 ◽  
pp. 20-39
Author(s):  
Diana-Marcela Vásquez-Bravo ◽  
Maria-Isabel Sánchez-Segura ◽  
Fuensanta Medina-Domínguez ◽  
Antonio Amescua
Keyword(s):  
Knowledge Management ◽  
Software Engineering ◽  
Knowledge Acquisition ◽  
Knowledge Elicitation ◽  
Formal Representation ◽  
Elicitation Process ◽  
Acquisition Management ◽  
The Relationship ◽  
Epistemological Dimension

The knowledge elicitation process allows for the acquiring and transferring of knowledge. Actually, this process presents difficulties when selecting the appropriate elicitation technique. This chapter presents a classification of the elicitation techniques used in software engineering and the relationship between the elicitation techniques and some elements of knowledge management such as assets knowledge, epistemological dimension of knowledge and the knowledge creation phases. This classification provides a guideline to select a technique or a set of techniques for knowledge elicitation based on phases of Nonaka's model. Additionally, the chapter presents the use of product patterns in knowledge elicitation, and defines a product pattern as formal representation mechanism for each of the knowledge assets defined and presented in this chapter.

scholarly journals An Evolutive Process to Convert Glossaries into Ontologies

2010 ◽  
Vol 29 (4) ◽  
pp. 195 ◽  
Author(s):  
José R. Hilera ◽  
Carmen Pagés ◽  
J. Javier Martínez ◽  
J. Antonio Gutiérrez ◽  
Luis De-Marcos
Keyword(s):  
Life Cycle ◽  
Software Engineering ◽  
Semantic Web ◽  
Knowledge Representation ◽  
Information Resources ◽  
Knowledge Domain ◽  
Ieee Standard ◽  
Search For Information

This paper describes a method to generate ontologies from glossaries of terms. The proposed method presupposes an evolutionary life cycle based on successive transformations of the original glossary that lead to products of intermediate knowledge representation (dictionary, taxonomy, and thesaurus). These products are characterized by an increase in semantic expressiveness in comparison to the product obtained in the previous transformation, with the ontology as the end product. Although this method has been applied to produce an ontology from the “IEEE Standard Glossary of Software Engineering Terminology,” it could be applied to any glossary of any knowledge domain to generate an ontology that may be used to index or search for information resources and documents stored in libraries or on the Semantic Web.

Abstraction: An alternative neurocognitive account of recognition, prediction, and decision making

2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski
Keyword(s):  
Decision Making ◽  
Software Engineering ◽  
Systems Engineering ◽  
Evidence Based ◽  
Extensive Literature ◽  
Trace Theory ◽  
Fuzzy Trace Theory ◽  
Abstract Representations ◽  
Technical Systems

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.

Editorial: The role of formality in HCI issues in software engineering

1997 ◽  
Vol 144 (4) ◽  
pp. 193
Author(s):  
J.I. Siddiqi ◽  
C.R. Roast
Keyword(s):  
Software Engineering

Software Engineering for Real Time Systems

IEE Review ◽  
1992 ◽  
Vol 38 (3) ◽  
pp. 112
Author(s):  
Stuart Bennett
Keyword(s):  
Software Engineering ◽  
Real Time ◽  
Real Time Systems ◽  
Time Systems
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