Toward an automatic approach to get PIM level from CIM level using QVT rules

Essebaa, Imane; Chantit, Salima

doi:10.1109/sita.2016.7772271

Cited by 12 publications

(7 citation statements)

References 2 publications

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“…The large majority of the approaches are based on guidelines and informal rules, and take an incomplete source model as the basis. The automatic data model generation is presented in [9,73,39,10,38], while the semiautomatic generation is presented in [72,51,6,67].…”

Section: Related Workmentioning

confidence: 99%

Automatic derivation of the initial conceptual database model from a set of business process models

Brdjanin

Vukotic²,

Banjac

et al. 2022

ComSIS

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The article presents an approach aimed at automatically deriving the initial conceptual database model from a set of business process models. The approach proposes the incremental synthesis of the target model by iteratively composing the partial conceptual database models that are derived from the models contained in the source set. The approach is implemented by the AMADEOS tool, which is the first online web-based tool enabling the automatic derivation of the conceptual database model from a set of business process models. The experimental evaluation proves that the implemented approach enables effective automatic derivation of the initial conceptual database model.

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Section: Related Workmentioning

confidence: 99%

Automatic derivation of the initial conceptual database model from a set of business process models

Brdjanin

Vukotic²,

Banjac

et al. 2022

ComSIS

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show abstract

“…In addition, this transformation enables traceability links between requirement specifications, represented in the CIMs, and PIM and PSM artefacts that implement them [21]. This link contributes to ensure the quality in the software development process by making easier that any changes in CIM level will reflect the PIM and the PSM levels [23].…”

Section: Model Driven Architecture (Mda)mentioning

confidence: 99%

Transformation From CIM to PIM: a Systematic Mapping

et al. 2022

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Model Driven Architecture (MDA) is the most prominent and accepted methodology based on the Model Driven Development (MDD) principles. MDA includes three abstraction levels: Computer Independent Models (CIM), Platform Independent models (PIM) and Platform specific models (PSM). MDA encourages the automatic transformation of models as a means to increase the speed of the software development process and to prevent human errors. There are plenty of solutions to transform PIMs to PSMs, however the CIM to PIM transformation does not receive a similar attention. In that sense, this paper aims to describe a systematic mapping to analyze the main characteristics of the approaches that deal with the CIM to PIM transformation as well as to discuss research directions stemming out from our analysis. The results of this mapping study could be a valuable information source for the scientific community in order to know the real advances in this topic and to avoid unnecessary effort dealing with problems that have already been addressed. For example, this study yielded the models at the CIM level that have already been transformed into models at the PIM level. Hence, with this information, the researchers could focus their attention on finding solutions to transform those models at CIM level that have not been transformed into models at PIM level. Likewise, this mapping study provides information regarding the technological support of this type of transformation. This information could be useful for those software projects interested to adopt MDA.INDEX TERMS Model Driven Architecture (MDA), Computer Independent Models (CIM), Platform Independent models (PIM), systematic mapping.

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“…A use case model extended with data objects and business rules in an alternative to the natural language, SBVR (Semantic of Business Rules and Vocabulary), similarly to (Bousetta et al, 2013) are transformed to the class diagram. However, elements in it are linked with bidirectional associations and require additional refinement (Essebaa and Chantit, 2016).…”

Section: Related Workmentioning

confidence: 99%

Processing Use Case Scenarios and Text in a Formal Style as Inputs for TFM-based Transformations

Nazaruka¹

2020

BJMC

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TFM (Topological Functioning Model) based transformations start from text fragments as inputs and end with source code. Automated processing of use case scenarios is likely to be more predictable than text in a formal style thanks to their structure. The goal of the research is to understand whether the differences in processing these two text forms are essential for getting core elements of a TFM, or even a structured form has essential limitations. The theoretical results illustrate that use case specifications may have more structured and less structured formats. Even in the former format, use case steps may contain explanations and even text fragments in a formal style that increases unpredictability. Analysis of text in the both cases requires part-of-speech tagging, lemmas, constituency and dependency parsing, coreference resolution, and language pattern matching. Thus, structuring the initial documents is questionable but cases when they are to be managed in projects.

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Toward an automatic approach to get PIM level from CIM level using QVT rules

Cited by 12 publications

References 2 publications

Automatic derivation of the initial conceptual database model from a set of business process models

Automatic derivation of the initial conceptual database model from a set of business process models

Transformation From CIM to PIM: a Systematic Mapping

Processing Use Case Scenarios and Text in a Formal Style as Inputs for TFM-based Transformations

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