Model Management Tools for Models of Different Domains: A Systematic Literature Review

Torres, Weslley; Brand, Mark van den; Serebrenik, Alexander

doi:10.1109/syscon.2019.8836869

Cited by 12 publications

(10 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Linnosmaa [54] discussed the advantages of system modeling languages SysML and AADL in the area of security analysis. Torres [55] reviewed the application and approaches to across-domain model management in the field of MBSE. Dridi [56] reviewed the effective application of MBSE in systems engineering.…”

Section: B Bibliometrics and Mbse Reviewsmentioning

confidence: 99%

Bibliometric Analysis of Model-Based Systems Engineering: Past, Current, and Future

Wang

et al. 2024

IEEE Trans. Eng. Manage.

View full text Add to dashboard Cite

Model-based systems engineering (MBSE) is considered an important approach for understanding multidomain fields and is widely used in complex systems such as aerospace. In this article, a detailed survey of MBSE literature was conducted from its commencement to the present trends through bibliometric analysis. Some bibliometric tools were used to implement a visual network analysis of MBSE-related manuscripts. The results of the bibliometric study revealed the interrelationship and distribution of researchers in multidomain fields. The authorized sources of MBSE papers were also assorted. The current practices of MBSE were analyzed. The future directions for MBSE based on the current practices were discussed. We found that MBSE's research has been conducted by many research teams with distinctive characteristics, and the top publishing sources in this field have emerged. Research on MBSE focuses on system engineering, languages, system of systems, and digitalization. The development of new technologies such as next-generation modeling languages is improving current practical problems. The findings of this study may help researchers gain a faster and more comprehensive understanding of the current and future developments in MBSE.

show abstract

Section: B Bibliometrics and Mbse Reviewsmentioning

confidence: 99%

Bibliometric Analysis of Model-Based Systems Engineering: Past, Current, and Future

Wang

et al. 2024

IEEE Trans. Eng. Manage.

View full text Add to dashboard Cite

show abstract

“…Our work calls for improving the support of integration of models and code-based components. The need to integrate models with the existing code base (Liebel et al 2014;Hutchinson et al 2011;Whittle et al 2013b) and to integrate models from different domains (Tolvanen and Kelly 2010;Torres et al 2019) has been often mentioned. However, not many studies propose how this integration can be facilitated by improving modeling tools.…”

Section: Implications For Tool Buildersmentioning

confidence: 99%

Single-state state machines in model-driven software engineering: an exploratory study

et al. 2021

Self Cite

View full text Add to dashboard Cite

Context Models, as the main artifact in model-driven engineering, have been extensively used in the area of embedded systems for code generation and verification. One of the most popular behavioral modeling techniques is the state machine. Many state machine modeling guidelines recommend that a state machine should have more than one state in order to be meaningful. However, single-state state machines (SSSMs) violating this recommendation have been used in modeling cases reported in the literature. Objective We aim for understanding the phenomenon of using SSSMs in practice as understanding why developers violate the modeling guidelines is the first step towards improvement of modeling tools and practice. Method To study the phenomenon, we conducted an exploratory study which consists of two complementary studies. The first study investigated the prevalence and role of SSSMs in the domain of embedded systems, as well as the reasons why developers use them and their perceived advantages and disadvantages. We employed the sequential explanatory strategy, including repository mining and interview, to study 1500 state machines from 26 components at ASML, a leading company in manufacturing lithography machines from the semiconductor industry. In the second study, we investigated the evolutionary aspects of SSSMs, exploring when SSSMs are introduced to the systems and how developers modify them by mining the largest state-machine-based component from the company. Results We observe that 25 out of 26 components contain SSSMs. Our interviews suggest that SSSMs are used to interface with the existing code, to deal with tool limitations, to facilitate maintenance and to ease verification. Our study on the evolutionary aspects of SSSMs reveals that the need for SSSMs to deal with tool limitations grew continuously over the years. Moreover, only a minority of SSSMs have been changed between SSSM and multiple-state state machine (MSSM) during their evolution. The most frequent modifications developers made to SSSMs is inserting events with constraints on the execution of the events. Conclusions Based on our results, we provide implications for developers and tool builders. Furthermore, we formulate hypotheses about the effectiveness of SSSMs, the impacts of SSSMs on development, maintenance and verification as well as the evolution of SSSMs.

show abstract

“…Hence, while model management and inter-model consistency approaches are crucial, the main challenge is to be able to integrate models that are created by means of other tools, e.g., technical drawings. However, model exchange and interoperability in tool chains is still a major issue [15,32] and novel techniques may be required to process truly heterogeneous models.…”

Section: Open Research Challengesmentioning

confidence: 99%

Towards Model-Driven Digital Twin Engineering: Current Opportunities and Future Challenges

Bordeleau

Combemale

Eramo

et al. 2020

Communications in Computer and Information Science

View full text Add to dashboard Cite

Digital Twins have emerged since the beginning of this millennium to better support the management of systems based on (real-time) data collected in different parts of the operating systems. Digital Twins have been successfully used in many application domains, and thus, are considered as an important aspect of Model-Based Systems Engineering (MBSE). However, their development, maintenance, and evolution still face major challenges, in particular: (i) the management of heterogeneous models from different disciplines, (ii) the bidirectional synchronization of digital twins and the actual systems, and (iii) the support for collaborative development throughout the complete life-cycle. In the last decades, the Model-Driven Engineering (MDE) community has investigated these challenges in the context of software systems. Now the question arises, which results may be applicable for digital twin engineering as well. In this paper, we identify various MDE techniques and technologies which may contribute to tackle the three mentioned digital twin challenges as well as outline a set of open MDE research challenges that need to be addressed in order to move towards a digital twin engineering discipline.

show abstract

Model Management Tools for Models of Different Domains: A Systematic Literature Review

Cited by 12 publications

References 69 publications

Bibliometric Analysis of Model-Based Systems Engineering: Past, Current, and Future

Bibliometric Analysis of Model-Based Systems Engineering: Past, Current, and Future

Single-state state machines in model-driven software engineering: an exploratory study

Towards Model-Driven Digital Twin Engineering: Current Opportunities and Future Challenges

Contact Info

Product

Resources

About