An Automated Tool for Generating UML Models from Natural Language Requirements

Deeptimahanti, Deva Kumar; Babar, Muhammad Ali

doi:10.1109/ase.2009.48

Cited by 84 publications

(38 citation statements)

References 2 publications

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“…Several heuristics methods exist, like the noun-phrase [55], to systematically derive a conceptual model from requirements in natural language. Recently, some tools have emerged for the automated derivation (up to some degree) of class models [22]. We plan to include support for DSML requirements in natural language in future work.…”

Section: Related Workmentioning

confidence: 99%

Example-driven meta-model development

et al. 2013

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The intensive use of models in ModelDriven Engineering (MDE) raises the need to develop meta-models with different aims, like the construction of textual and visual modelling languages and the specification of source and target ends of model-to-model transformations. While domain experts have the knowledge about the concepts of the domain, they usually lack the skills to build meta-models. Moreover, meta-models typically need to be tailored according to their future usage and specific implementation platform, which demands knowledge available only to engineers with great expertise in specific MDE platforms. These issues hinder a wider adoption of MDE both by domain experts and software engineers.In order to alleviate this situation, we propose an interactive, iterative approach to meta-model construction enabling the specification of example model fragments by domain experts, with the possibility of using informal drawing tools like Dia or yED. These fragments can be annotated with hints about the intention or needs for certain elements. A meta-model is then automatically induced, which can be refactored in an interactive way, and then compiled into an implementation metamodel using profiles and patterns for different platforms and purposes. Our approach includes the use of a virtual assistant, which provides suggestions for improving the meta-model based on well-known refactorings, and a validation mode, enabling the validation of the meta-model by means of examples.

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Section: Related Workmentioning

confidence: 99%

Example-driven meta-model development

et al. 2013

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“…Enterprise Architect is a well-recognized UML based modeling tool for design and development of software system [25][26][27][28][29]. This tool is capable to reverse engineer source code of multiple languages separately.…”

Section: ) Extended Super Model (Jpsp) An Enhancement Of Enterpsisementioning

confidence: 99%

Detection of J2EE Patterns based on Customizable Features

Mushtaq¹,

Rasool²,

Shahzad³

2017

ijacsa

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Abstract-Design patterns support extraction of design information for better program understanding, reusability and reengineering. With the advent of contemporary applications, the extraction of design information has become quite complex and challenging. These applications are multilingual in nature i.e. their design information is spread across various language components that are interlinked with each other. At present, no approach is available that is capable to extract design information of multilingual applications by using design patterns. This paper lays foundation for the analysis of multilingual source code for the detection of J2EE Patterns.

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“…Also, building models often requires NL translation and this translation process can be problematic due to the inherent incompleteness and ambiguities of NL [1,3]. To address this problem, many researchers have proposed various modeling techniques including automated NL translation approaches [4,5,6,7]. Automation can certainly reduce human errors and improve the translation process, but complete automation of this process is not possible because often NL requirements can be interpreted in multiple ways and thus human judgment is inevitable to lead correct/sensible interpretations.…”

Section: Related Workmentioning

confidence: 99%

Interactive requirements validation for reactive systems through virtual requirements prototype

Aceituna

Lee

2011

2011 Model-Driven Requirements Engineering Workshop

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-Adequate requirements validation can prevent errors from propagating into later development phases, and eventually improve the quality of software systems. However, validating natural language requirements is often difficult and error-prone. An effective means of requirements validation for embedded software systems has been to build a working model of the requirements in the form of a physical prototype that stakeholders can interact with. However, physical prototyping can be costly, and time consuming, extending the time it takes to obtain and implement stakeholder feedback. We have developed a requirements validation technique, called Virtual Requirements Prototype (VRP), that reduces cost and stakeholder feedback time by allowing stakeholders to validate embedded software requirements through the interaction with a virtual prototype.I.

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An Automated Tool for Generating UML Models from Natural Language Requirements

Cited by 84 publications

References 2 publications

Example-driven meta-model development

Example-driven meta-model development

Detection of J2EE Patterns based on Customizable Features

Interactive requirements validation for reactive systems through virtual requirements prototype

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