Managing Complexity in Software Engineering

1990 ◽  
Keyword(s):  
Software Engineering ◽  
Managing Complexity

Managing Complexity in Software Engineering

IEE Review ◽  
1991 ◽  
Vol 37 (3) ◽  
pp. 113
Author(s):  
P. Sawyer
Keyword(s):  
Software Engineering ◽  
Managing Complexity

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.

Millennials, learning, and development: Managing complexity avoidance and narcissism.

2017 ◽  
Vol 20 (3) ◽  
pp. 176-193 ◽  
Author(s):  
Robert C. Giambatista ◽  
J. Duane Hoover ◽  
Lori Tribble
Keyword(s):  
Learning And Development ◽  
Managing Complexity

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

Rationale and Design Considerations for a Semantic Mediator in Health Information Systems

1998 ◽  
Vol 37 (04/05) ◽  
pp. 518-526 ◽  
Author(s):  
D. Sauquet ◽  
M.-C. Jaulent ◽  
E. Zapletal ◽  
M. Lavril ◽  
P. Degoulet
Keyword(s):  
Information Systems ◽  
Software Engineering ◽  
Health Information ◽  
Rapid Development ◽  
Heterogeneous Systems ◽  
Health Information Systems ◽  
Semantic Interoperability ◽  
Point Of View ◽  
Current State ◽  
Engineering Environment

AbstractRapid development of community health information networks raises the issue of semantic interoperability between distributed and heterogeneous systems. Indeed, operational health information systems originate from heterogeneous teams of independent developers and have to cooperate in order to exchange data and services. A good cooperation is based on a good understanding of the messages exchanged between the systems. The main issue of semantic interoperability is to ensure that the exchange is not only possible but also meaningful. The main objective of this paper is to analyze semantic interoperability from a software engineering point of view. It describes the principles for the design of a semantic mediator (SM) in the framework of a distributed object manager (DOM). The mediator is itself a component that should allow the exchange of messages independently of languages and platforms. The functional architecture of such a SM is detailed. These principles have been partly applied in the context of the HEllOS object-oriented software engineering environment. The resulting service components are presented with their current state of achievement.

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