Extending Model-Driven Development Process with Causal Modeling Approach

Gudas, Saulius; Valatavicius, Andrius

doi:10.1007/978-3-030-39250-5_7

Cited by 2 publications

(5 citation statements)

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“…Current MDD methods are not focused to understand the causes of internal interactions, to find the so-called deep knowledge. As stated in Gudas and Valatavičius (2020), "real world domain modelling at CIM layer is constructing of black boxes", therefore including causal modelling is a must from a theoretical point of view.…”

Section: Transformations In Mda/mddmentioning

confidence: 99%

“…Based on causal modelling viewpoint the MDA/MDD approach was enhanced with a new layer (above CIM layer) of the domain knowledge discovery in Gudas and Valatavičius (2020) and the causal knowledge discovery (CKD) technique tailored for the enterprise domain. The peculiarities of the causal MDA/MDD method is illustrated in Fig.…”

Section: Causal Modelling Driven Mda/mdd Approachmentioning

confidence: 99%

“…Causal domain models in the CIM layer are built using transformation specification rules, which defines mapping of the domain causality meta-model to causal CIM metamodel, and both meta-models are relevant to MT framework (predefined causal knowledge) (Gudas, 2021;Noreika and Gudas, 2021). The same principle is applied in the modified Agile management process (Noreika and Gudas, 2021), when predefined causal (2016), Gudas and Valatavičius (2020), Gudas (2021) knowledge (meta-model of Agile management hierarchy) is used to verify the status of EAS project solutions (project content) which is recorded in the standard Jira tool.…”

Section: Causal Modelling Driven Mda/mdd Approachmentioning

confidence: 99%

“…We examined the results to determine if there is a description of how to capture causal domain knowledge. The conclusions are presented in Table 1 and are based on the causal modelling approach as described in Gudas and Valatavičius (2020), Noreika and Gudas (2021). The papers that do not have MDA transformations specified are not included.…”

Section: Causal Modelling Driven Mda/mdd Approachmentioning

confidence: 99%

“…• Causal knowledge corresponds to the white-box approach when the domain causal model is known. In our case this is defined as the MT framework (Gudas, 2012;Gudas and Lopata, 2016;Gudas and Valatavičius, 2020).…”

Section: Causal Modelling Driven Mda/mdd Approachmentioning

confidence: 99%

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Causal Knowledge Modelling for Agile Development of Enterprise Application Systems

Noreika¹,

Gudas²

2023

Informatica

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Experience shows that Agile project management tools such as Atlassian Jira capture the state of EAS projects by relying solely on expert judgement that is not supported by any knowledge model. Therefore, the assessment of project content against strategic objectives and business domain features are not supported by any tool. This is one of the reasons why Agile project management still does not provide sufficient EAS project delivery results. In order to address this problem, the Enterprise Application Software (EAS) development using Agile project management is summarized in a conceptual model. The model highlights the knowledge used and indicates its nature (empirical or causal digitized). The modified Agile management process we have developed and described in previous works is based on causal knowledge models that supports EAS development and Agile management processes. The purpose of this article is to specify knowledge repository to ensure the Agile management solutions of an EAS project are aligned with strategic goals and business domain causality. It is worth noticing that strategic goals have been identified and specified as capabilities using some enterprise architecture framework (NAF, MODAF, ArchiMate, etc.). The novelty of the proposed method is incorporating the business domain causal knowledge modelling approach into the Agile project management process. The causal knowledge unit is considered as a Management Transaction (MT), which includes closed loop dependence of its components. The modified Agile activity hierarchy (theme, initiative, epic, user story) defines the required content of their mutual interactions. An important new results obtained are the conceptual model of causal knowledge base (KB) and specification of enhanced Agile management tool components: project management database and project state assesment knowledge base. Causal KB includes specification of causal knowledge unit (MT metamodel) and specifications of traditional and causal Agile hierarchy meta-models. These conceptual models define the causal knowledge components necessary to evaluate the state of Agile activities in the EAS development project using intelligent Agile project management tool.

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Section: Transformations In Mda/mddmentioning

confidence: 99%

Section: Causal Modelling Driven Mda/mdd Approachmentioning

confidence: 99%