A profile-aware methodological framework for collaborative multidimensional modeling

Sakka, Amir; Bimonte, Sandro; Rizzi, Stefano; Sautot, Lucile; Pinet, François; Bertolotto, Michela; Besnard, Aurelien; Rouillier, Noura

doi:10.1016/j.datak.2021.101875

Cited by 3 publications

(2 citation statements)

References 56 publications

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“…Collaborative approaches were used in various fields of engineering to improve the decision quality and to allow a more active involvement of stakeholders and end-users (Mora et al, 2021;Sakka et al, 2021). Works such as Chen et al (2003) or Podean (2009) proposed using collaborative architectures when managing distributed IT projects.…”

Section: Collaborative Decision-makingmentioning

confidence: 99%

An IT projects’ conceptual model to facilitate upstream decision‐making: project management method selection

Sakka

Kourjieh

Kraiem

2023

Int Trans Operational Res

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The selection of the most adapted project management method (PMM) can contribute to the success of information technology (IT) projects and hence the company's optimized profitability and operability. Due to many PMMs known for their operational advantages, and with the variety of companies’ strategies and policies, the decision‐making process of selecting the best‐suited PMM can get cumbersome, and some unfounded practices could, consequently, mislead its involved leaders. We propose in this work a methodological approach of decision analysis that allows a structured, reproducible, and group decision support system‐assisted execution. The methodology was fully executed and evaluated with three real case studies of IT projects, and further improvements and research perspectives were identified.

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Section: Collaborative Decision-makingmentioning

confidence: 99%

An IT projects’ conceptual model to facilitate upstream decision‐making: project management method selection

Sakka

Kourjieh

Kraiem

2023

Int Trans Operational Res

Self Cite

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“…The review step is carried out iteratively. The possible actions to be agreed between end-users and designers to edit the draft multidimensional schemata are listed below with some examples [54]: #1 Rename facts/measures/dimensions/levels/properties. Renaming a multidimensional element may be beneficial when the name used in the draft schema is not perfectly clear to end-users and can be misunderstood.…”

Section: Step 2: Reviewmentioning

confidence: 99%

Multidimensional modeling driven from a domain language

2022

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The multidimensional model is based on the concepts of facts (business phenomena to be analyzed), dimensions (coordinates for analyzing a fact), hierarchies (descriptions of each dimension at progressively coarser levels of aggregation), and measures (numerical attributes that quantify a fact), and it is commonly adopted for representing data to support the decision-making process. Though multidimensional modeling has been widely investigated, requirements elicitation is still an open issue mainly due to the poor knowledge end-users have of the multidimensional model on the one hand, to the lack of a domain language shared with designers on the other. In the direction of bridging this gap, this paper proposes an approach to obtain a multidimensional schema from the language of the domain captured through a Language Extended Lexicon (LEL). LELs have been introduced as structured glossaries to describe the language used in the application domain, aimed at facilitating requirements elicitation in software engineering. Methods: Our approach consists of two steps. In the first one, end-users apply a set of derivation rules to the LEL in order to obtain draft multidimensional schemata. The second step relies on Multidimensional Modeling Driven From a Domain Language the interaction of end-users and designers to review and edit these draft multidimensional schemata so as to obtain the final ones. Results: The approach is validated via an experiment made on a case study, showing that end-users who apply our rules tend to produce multidimensional schemata that are more correct than those produced by end-users who work freely. Conclusion: Our rules provide a structured context where subjectivity has a smaller impact than in the case of designing with no guidelines, thus effectively supporting the collaboration between end-users and designers.

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A digital twin-based multidisciplinary collaborative design approach for complex engineering product development

You-de

Zhou

Zheng

et al. 2022

Advanced Engineering Informatics

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A profile-aware methodological framework for collaborative multidimensional modeling

Cited by 3 publications

References 56 publications

An IT projects’ conceptual model to facilitate upstream decision‐making: project management method selection

An IT projects’ conceptual model to facilitate upstream decision‐making: project management method selection

Multidimensional modeling driven from a domain language

A digital twin-based multidisciplinary collaborative design approach for complex engineering product development

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