Domain Specific Design of User Interfaces - Case Handling and Data Entry Problems

1996 ◽  
pp. 21-36 ◽  
Author(s):  
Jan Gulliksen ◽  
Bengt Sandblad
Keyword(s):  
User Interfaces ◽  
Data Entry ◽  
Specific Design ◽  
Domain Specific

Domain‐specific design of user interfaces

1995 ◽  
Vol 7 (2) ◽  
pp. 135-151 ◽  
Author(s):  
Jan Gulliksen ◽  
Bengt Sandblad
Keyword(s):  
User Interfaces ◽  
Specific Design ◽  
Domain Specific

scholarly journals Constructiv and Technological Consideration on the Generation of Gear Made by the DLP 3D-Printed Methode

2019 ◽  
Vol 56 (2) ◽  
pp. 440-443
Author(s):  
Mircea Dorin Vasilescu
Keyword(s):  
Optical Microscope ◽  
Functional Domain ◽  
Conserved Quantities ◽  
Technological Parameters ◽  
Specific Design ◽  
Domain Specific ◽  
Cylindrical Gears ◽  
3D Printed ◽  
Mechanical Elements ◽  
The Cost

The aim of the work is conduct to highlight how the technological parameters has influence of 3D printed DLP on the generation of wheel, made from resin type material. In the first part of the paper is presents how to generate in terms of dimensional aspects specific design cylindrical gears, conical and worm gear. Generating elements intended to reduce the cost of manufacturing of these elements. Also are achieve the specific components of this work are put to test with a laboratory test stand which is presented in the paper in the third part of the paper. The tested gears generated by 3D-printed technique made with 3D printed with FDM or DLP technique. After the constructive aspects, proceed to the identification of conserved quantities, which have an impact both in terms of mechanical strength, but his cinematic, in order to achieve a product with kinematic features and good functional domain specific had in mind. The next part is carried out an analysis of the layers are generated using the DLP and FDM method using an optical microscope with magnification up to 500 times, specially adapted in order to achieve both visualization and measurement of specific elements. In the end part, it will highlight the main issues and the specific recommendations made to obtain such constructive mechanical elements.

Programmatic modeling for biological systems

2021 ◽  
Author(s):  
Alexander L.R. Lubbock ◽  
Carlos F. Lopez
Keyword(s):  
Software Engineering ◽  
Best Practices ◽  
Computational Modeling ◽  
User Interfaces ◽  
Model Development ◽  
List Type ◽  
Cellular Processes ◽  
Domain Specific ◽  
Community Benefits ◽  
Engineering Best Practices

AbstractComputational modeling has become an established technique to encode mathematical representations of cellular processes and gain mechanistic insights that drive testable predictions. These models are often constructed using graphical user interfaces or domain-specific languages, with SBML used for interchange. Models are typically simulated, calibrated, and analyzed either within a single application, or using import and export from various tools. Here, we describe a programmatic modeling paradigm, in which modeling is augmented with best practices from software engineering. We focus on Python - a popular, user-friendly programming language with a large scientific package ecosystem. Models themselves can be encoded as programs, adding benefits such as modularity, testing, and automated documentation generators while still being exportable to SBML. Automated version control and testing ensures models and their modules have expected properties and behavior. Programmatic modeling is a key technology to enable collaborative model development and enhance dissemination, transparency, and reproducibility.HighlightsProgrammatic modeling combines computational modeling with software engineering best practices.An executable model enables users to leverage all available resources from the language.Community benefits include improved collaboration, reusability, and reproducibility.Python has multiple modeling frameworks with a broad, active scientific ecosystem.

A Model for Performance-Intelligent Design Advisors

1993 ◽  
Author(s):  
R. Grant Reed ◽  
Robert H. Sturges
Keyword(s):  
Intelligent Design ◽  
Specific Design ◽  
Design Information ◽  
Domain Specific ◽  
Computer Based ◽  
Level Design ◽  
And Performance ◽  
High Level ◽  
Level Performance ◽  
Inputs And Outputs

Abstract We consider a design advisor to be performance-intelligent when its suggestions do not conflict with high level performance-related goals of the design under study. We address the problem of representing non-domain-specific design Information at a high level and describe coupling it to the inputs and outputs of design critics and their suggestion mechanisms. High level design Information represented in a function-based structure with linked allocations is shown to interact with a domain-specific design critic in three instances, viz.: allocation refinement, goal matching with a supported function, and performance-intelligent tradeoffs. Examples of manual and computer-based procedures are discussed.

Design Patterns and Design Principles for Internal Domain-Specific Languages

2012 ◽  
pp. 156-214
Author(s):  
Sebastian Günther
Keyword(s):  
Programming Language ◽  
Design Patterns ◽  
Special Kind ◽  
Design Principles ◽  
Domain Specific Languages ◽  
Specific Design ◽  
Domain Specific ◽  
Language Semantics ◽  
Internal Domain ◽  
Design Challenges

Internal DSLs are a special kind of DSLs that use an existing programming language as their host. To build them successfully, knowledge regarding how to modify the host language is essential. In this chapter, the author contributes six DSL design principles and 21 DSL design patterns. DSL Design principles provide guidelines that identify specific design goals to shape the syntax and semantic of a DSL. DSL design patterns express proven knowledge about recurring DSL design challenges, their solution, and their connection to each other – forming a rich vocabulary that developers can use to explain a DSL design and share their knowledge. The chapter presents design patterns grouped into foundation patterns (which provide the skeleton of the DSL consisting of objects and methods), notation patterns (which address syntactic variations of host language expressions), and abstraction patterns (which provide the domain-specific abstractions as extensions or even modifications of the host language semantics).

A Software Cost Model to Assess Productivity Impact of a Model-Driven Technique in Developing Domain-Specific Design Tools

2011 ◽  
pp. 333-355
Author(s):  
Achilleas Achilleos ◽  
Nektarios Georgalas ◽  
Kun Yang ◽  
George A. Papadopoulos
Keyword(s):  
Cost Model ◽  
Design Tools ◽  
Specific Design ◽  
Software Cost ◽  
Model Driven ◽  
Modelling Languages ◽  
Domain Specific ◽  
Software Productivity ◽  
Code Generators ◽  
Software Services

Programming languages have evolved through the course of research from machine dependent to high-level “platform-independent” languages. This shift towards abstraction aims to reduce the effort and time required by developers to create software services. It is also a strong indicator of reduced development costs and a direct measure of a positive impact on software productivity. Current trends in software engineering attempt to raise further the abstraction level by introducing modelling languages as the key components of the development process. In particular, modelling languages support the design of software services in the form of domain models. These models become the main development artefacts, which are then transformed using code generators to the required implementation. The major predicament with model-driven techniques is the complexity imposed when manually developing the domain-specific design tools used to define models. Another issue is the difficulty faced in integrating these design tools with model validation tools and code generators. In this chapter a model-driven technique and its supporting model-driven environment are presented, both of which are imperative in automating the development of design tools and achieving tools integration to improve software productivity. A formal parametric model is also proposed that allows evaluating the productivity impact in generating and rapidly integrating design tools. The evaluation is performed on the basis of a prototype domain-specific design tool.

scholarly journals Analyzing stereotypes of creating graphical user interfaces

2012 ◽  
Vol 2 (3) ◽  
Author(s):  
Michaela Bačíková ◽  
Jaroslav Porubän
Keyword(s):  
User Interfaces ◽  
Primary Source ◽  
Domain Analysis ◽  
Graphical User Interfaces ◽  
Specific Information ◽  
Basic Principles ◽  
Domain Specific ◽  
Different Types ◽  
General Goal ◽  
Domain Information

AbstractA graphical user interface (GUI, UI) is an important part of an application, with which users interact directly. It should be implemented in the best way with respect to understandability. If a user does not understand the terms in the UI, he or she cannot work with it; then the whole system is worthless. In order to serve well the UI should contain domain-specific terms and describe domain-specific processes. It is the primary source for domain analysis right after domain users and experts. Our general goal is to propose a method for an automatic domain analysis of user interfaces. First, however, the basic principles and stereotypes must be defined that are used when creating user interfaces and rules must be derived for creating an information extracting algorithm. In this paper these stereotypes are listed and analyzed and a set of rules for extracting domain information is created. A taxonomy of UIs and a taxonomy of components based on their domain-specific information is also proposed. Our DEAL method for extracting this information is outlined and a prototype of DEAL is presented. Also our goals for the future are listed: expanding the prototype for different components and different types of UIs.

Domain-Specific Design of Industrial Automation and Control Systems: The MEDEIA Approach

2010 ◽  
Vol 43 (4) ◽  
pp. 18-23 ◽  
Author(s):  
Thomas Strasser ◽  
Gerhard Ebenhofer ◽  
Martijn Rooker ◽  
Ingo Hegny
Keyword(s):  
Control Systems ◽  
Specific Design ◽  
Industrial Automation ◽  
Domain Specific ◽  
Automation And Control ◽  
And Control
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