Automatic generation of visual programming environments

Costagliola, Gennaro; Tortora, Genoveffa; Orefice, Sergio; Lucia, Andrea De

doi:10.1109/2.366162

Cited by 71 publications

(27 citation statements)

References 10 publications

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“…Tools such as SIL-ICON [7] and VLCC [8] use parameterizable frameworks to support VPL generation. They are easy to use since generating target VPLs is simply done by customizing the predefined frameworks through domain specifications.…”

Section: Related Workmentioning

confidence: 99%

“…The SIL-ICON compiler is based on the generalized icon theory and, thus, is limited to iconic VPLs. VLCC [8] assists the user with tools for defining a language's syntax, semantics, and graphical objects. It produces an integrated environment with an editor and a compiler for the defined language.…”

Section: Related Workmentioning

confidence: 99%

“…For example, VPE generation tools based on grammar formalisms usually generate visual editors automatically through their grammars. This is the easiest way to produce a visual editor, but generated visual editors are often not user friendly and the functionalities are limited [8]. Yet, the formalisms which can generate powerful visual editors do not provide an adequate mechanism to support syntactic and semantic specifications [4] or are inefficient in parsing [22].…”

Section: Current Problemsmentioning

confidence: 99%

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Design, construction, and application of a generic visual language generation environment

Zhang

Cao

2001

IIEEE Trans. Software Eng.

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AbstractÐThe implementation of visual programming languages (VPLs) and their supporting environments is time consuming and tedious. To ease the task, researchers have developed some high level tools to reduce the development effort. None of these tools, however, can be easily used to create a complete visual language in a seamless way like the lex/yacc tools for textual language constructions. This paper presents the design, construction, and application of a generic visual language generation environment, called VisPro. The VisPro design model improves the conventional Model-View-Controller framework in that its functional modules are decoupled to allow independent development and integration. The VisPro environment consists of a set of visual programming tools. Using VisPro, the process of VPL construction can be divided into two steps: lexicon definition and grammar specification. The former step defines visual objects and a visual editor, and the latter step provides language grammars with graph rewriting rules. The compiler for the VPL is automatically created according to the grammar specification. A target VPL is generated as a programming environment which contains the compiler and the visual editor. The paper demonstrates how VisPro is used by building a simple visual language and a more complex visual modeling language for distributed programming.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Current Problemsmentioning

confidence: 99%

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Design, construction, and application of a generic visual language generation environment

Zhang

Cao

2001

IIEEE Trans. Software Eng.

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“…This description is then transformed for use in the domain independent system. The inspiration for such a framework stems from work in speech recognition and compiler compilers, which have used this approach with some success [11] [2][9].…”

Section: Introductionmentioning

confidence: 99%

Interactive learning of structural shape descriptions from automatically generated near-miss examples

Hammond

Davis

2006

Proceedings of the 11th International Conference on Intelligent User Interfaces

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Sketch interfaces provide more natural interaction than the traditional mouse and palette tool, but can be time consuming to build if they have to be built anew for each new domain. A shape description language, such as the LAD-DER language we created, can significantly reduce the time necessary to create a sketch interface by enabling automatic generation of the interface from a domain description. However, structural shape descriptions, whether written by users or created automatically by the computer, are frequently over-or under-constrained. We present a technique to debug over-and under-constrained shapes using a novel form of active learning that generates its own suspected near-miss examples. Using this technique we implemented a graphical debugging tool for use by sketch interface developers.

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“…The visual language compiler±compiler (VLCC) [8,11] is a grammar-based graphical system for the automatic generation of visual programming enviro-ments. Its grammatical formalism is based on`positional grammar' and its parsing algorithm is an extension of the LR parser called pLR parser.…”

Section: Introductionmentioning

confidence: 99%

MRG parser for visual languages

Al-Mulhem

Ather

2001

Information Sciences

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The theory of visual programming languages (VPLs) is very crucial for understanding the visual programming approach. It includes basically formal models for specifying VPLs and the corresponding parsing algorithms. This paper presents a grammatical formalism and an ecient parsing algorithm for visual languages. The proposed formalism, called modi®ed relation grammar (MRG), is a restricted form of the relation grammar (RG). MRG restricts the form of productions and distributes the evaluation rules among various production rules, which makes the grammar more readable. The paper also presents an ecient On parsing algorithm for MRG. The paper includes a number of examples to demonstrate the proposed formalism. It also includes a discussion on the expressive power of the proposed grammar and the correctness of its parsing algorithm. Finally, the paper compares the proposed grammar and its parsing algorithm with a similar restricted form of the RG. Ó

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Automatic generation of visual programming environments

Cited by 71 publications

References 10 publications

Design, construction, and application of a generic visual language generation environment

Design, construction, and application of a generic visual language generation environment

Interactive learning of structural shape descriptions from automatically generated near-miss examples

MRG parser for visual languages

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