Automatically generating object models from natural language analysis

Pérez-González, Héctor G.; Kalita, Jugal

doi:10.1145/985072.985116

Cited by 14 publications

(4 citation statements)

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“…The prototype tool Graphic Object Oriented Analysis Laboratory (GOOAL) [40] supports automatic OO modeling and produces static and dynamic models from NL description of user requirements taking decisions sentence by sentence. The underlying methodology of this system includes role posets and semi-natural language (4W).…”

Section: Gooalmentioning

confidence: 99%

From Natural Language Text to Visual Models: A survey of Issues and Approaches

Osman¹,

Zălhan²

2016

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Over the last 20 years, research groups focused on automating the process of extracting valuable information from Natural Language text in order to discover data and process models. In this context, several tools and approaches have been proposed. The overall objective of this survey is to examine existing literature works that transform textual specifications into visual models. This paper aims to give a comprehensive account of the existing tools meant to discover data and process models from natural language text. Our analysis focuses on approaches of these tools in the model extraction process and highlight issues of each proposed approach. In the case of object oriented software modelling of data models extraction we analyze the degree of automation, efficiency and completeness of the transformation process. Regarding process models extraction, the study is not limited only to business process discovery, but it also provides case studies from several fields such as medical or archaeological. Even if not all the tools developed are clearly depicting a Natural Language Processing technique, a review of each approach is presented.

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Section: Gooalmentioning

confidence: 99%

From Natural Language Text to Visual Models: A survey of Issues and Approaches

Osman¹,

Zălhan²

2016

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“…Perez-Gonzalez tried a different approach by presenting a restricted language with a reduced set of words and possible sentences [22]. For this reduced input set they build a tool (GOOAL) capable of generating the corresponding models.…”

Section: A Model From Nlmentioning

confidence: 99%

Consistent stakeholder modifications of formal models via a natural language representation

Gabrysiak

Eichler

Hebig

et al. 2013

2013 1st International Workshop on Natural Language Analysis in Software Engineering (NaturaLiSE)

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While requirements described in Natural Language are inherently ambiguous and hard to check for consistency, they are intuitively understandable for domain experts. Using formal models, on the other hand, supports requirements engineers to specify requirements correct, consistent and complete. Transformations between these two different representations can become quite complex, since not everything that can be expressed with natural language can be captured in a restricted formal model. We describe a transformation approach that takes the formal modeling operations of story patterns and allows domain experts to transparently apply them on a natural language representation of these formal models. Also, a preliminary evaluation is presented.

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“…We presented our seminal work at OOPSLA 2002 (Pérez-González & Kalita 2002) showing our initial results with just two simple examples and using just an English version tool. At OOPSLA 2005(Pérez-González et al 2005 we showed our Spanish version tool with an educational approach.…”

Section: Related Workmentioning

confidence: 99%

GOOAL AUTOMATIC DESIGN TOOL - A Role Posets based Tool to Produce Object Models from Problem Descriptions

Pérez-González¹,

Nava-Muñoz²,

Núñez-Varela³

et al. 2008

Proceedings of the Third International Conference on Software and Data Technologies Special Session on Applications in Banking

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A number of software analysts may produce different, perhaps all of them correct, solutions from one specific software requirement document. This is because natural language understanding is complex and because each analyst has distinct design experience. A methodology and approach that can be automated and that uses a proposed semi-natural language called 4WL used to accelerate the production of reliable accords between different stakeholders. The supporting software tool called GOOAL, Graphic Object Oriented Analysis Laboratory automatically produces simple object models (UML diagrams) from English or Spanish statements with minimal user participation. These statements, faithfully describe the original problem description sentences. The models are generated analyzing each sentence of the intermediate 4W language version of the original sentence set. With this methodology and supporting software tool, students of Object Oriented technology can visualize the design decisions being made by the system. This methodology and software tool has been used to support the learning process in object Oriented analysis and design courses. The original tool was developed to "understand" English and it was validated with design artefacts produced by several experts of the University of Colorado. The main results reported by the students, are related with the use of good design practices, a better understanding of UML language and a major interest in the pre programming process. Its technical contribution is the role posets technique.

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Automatically generating object models from natural language analysis

Cited by 14 publications

References 1 publication

From Natural Language Text to Visual Models: A survey of Issues and Approaches

From Natural Language Text to Visual Models: A survey of Issues and Approaches

Consistent stakeholder modifications of formal models via a natural language representation

GOOAL AUTOMATIC DESIGN TOOL - A Role Posets based Tool to Produce Object Models from Problem Descriptions

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