Software Engineering Practice

2020 ◽  
Author(s):  
Thomas B. Hilburn ◽  
Massood Towhidnejad
Keyword(s):  
Software Engineering ◽  
Engineering Practice

Design and Application of the Plug-in for Charging Facilities Monitoring Configuration Software

2013 ◽  
Vol 336-338 ◽  
pp. 1983-1987
Author(s):  
Bei Bei Zhang ◽  
Guang Ming Sun
Keyword(s):  
Software Engineering ◽  
Software Architecture ◽  
Electric Vehicle ◽  
Interface Design ◽  
Configuration Software ◽  
Engineering Practice ◽  
Model Structure ◽  
Plug And Play ◽  
Electric Vehicle Charging ◽  
Design And Application

Introduced the characteristics of monitoring for the electric vehicle charging facilities, analysis of the model structure and the plug-in structure. Determined software architecture of platform and plugin for charging facilities monitoring configuration software. Elaborated on the interface design, workflow and application examples of plug-in in the configuration software. Engineering practice has proved that the configuration software through the use of plug-in technology to improve the degree of modular, a powerful expansion function, plug-and-play and to meet the needs of different users.

scholarly journals Parsing engineering and empirical robustness

2002 ◽  
Vol 8 (2-3) ◽  
pp. 97-120 ◽  
Author(s):  
ROBERTO BASILI ◽  
FABIO MASSIMO ZANZOTTO
Keyword(s):  
Software Engineering ◽  
Computational Model ◽  
Design Methodology ◽  
Theoretical Explanation ◽  
Desirable Property ◽  
The Other ◽  
Engineering Practice ◽  
Design Phase ◽  
The One ◽  
Definition Of

Robustness has been traditionally stressed as a general desirable property of any computational model and system. The human NL interpretation device exhibits this property as the ability to deal with odd sentences. However, the difficulties in a theoretical explanation of robustness within the linguistic modelling suggested the adoption of an empirical notion. In this paper, we propose an empirical definition of robustness based on the notion of performance. Furthermore, a framework for controlling the parser robustness in the design phase is presented. The control is achieved via the adoption of two principles: the modularisation, typical of the software engineering practice, and the availability of domain adaptable components. The methodology has been adopted for the production of CHAOS, a pool of syntactic modules, which has been used in real applications. This pool of modules enables a large validation of the notion of empirical robustness, on the one side, and of the design methodology, on the other side, over different corpora and two different languages (English and Italian).

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