A systematic literature review of UML-based domain-specific modeling languages for self-adaptive systems

Silva, João Pablo S. da; Ecar, Miguel; Pimenta, Marcelo Soares; Guedes, Gilleanes Thorwald Araujo; Franz, Luiz Paulo; Marchezan, Luciano

doi:10.1145/3194133.3194136

Cited by 11 publications

(3 citation statements)

References 34 publications

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“…Other application domains included clonal plasticity [195], smart travels [138], agriculture [38], UML [74], system on chip [225], MAPE-K [112], traffic management [156], holonic systems [83], and managing support of recoonfigurable software components [3]. Tables 16 and 17 characterize this time period in terms of the prevalent paper categories and application domains, underlining the trend towards IoT and IaaS in recent years.…”

Section: -2020 -The Last Decade -Second Halfmentioning

confidence: 99%

Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains

Wong¹,

Wagner²

2021

Preprint

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Championed by IBM's vision of autonomic computing paper in 2003, the autonomic computing research field has seen increased research activity over the last 20 years. Several conferences (SEAMS, SASO, ICAC) and workshops (SISSY) have been established and have contributed to the autonomic computing knowledge base in search of a new kind of system -a self-adaptive system (SAS). These systems are characterized by being context-aware and can act on that awareness. The actions carried out could be on the system or on the context (or environment). The underlying goal of a SAS is the sustained achievement of its goals despite changes in its environment. Despite a number of literature reviews on specific aspects of SASs ranging from their requirements to quality attributes, we lack a systematic understanding of the current state of the art. This paper contributes a systematic literature review into self-adaptive systems using the dblp computer science bibliography as a database. We filtered the records systematically in successive steps to arrive at 293 relevant papers. Each paper was critically analyzed and categorized into an attribute matrix. This matrix consisted of five categories, with each category having multiple attributes. The attributes of each paper, along with the summary of its contents formed the basis of the literature review that spanned 30 years . We characterize the maturation process of the research area from theoretical papers over practical implementations to more holistic and generic approaches, frameworks, and exemplars, applied to areas such as networking, web services, and robotics, with much of the recent work focusing on IoT and IaaS.

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Section: -2020 -The Last Decade -Second Halfmentioning

confidence: 99%

Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains

Wong¹,

Wagner²

2021

Preprint

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“…Muccini et al analyzed the state of the art of architectural adaptation approaches for cyber-physical systems [10]. Da Silva et al investigated UML-based modeling languages for SASs [11]. Recently, applications of machine learning in SASs were surveyed by Saputri et al [12].…”

Section: Related Surveys On Sasmentioning

confidence: 99%

Concepts and Models of Environment of Self-Adaptive Systems: A Systematic Literature Review

Shin

Bae

2021

2021 28th Asia-Pacific Software Engineering Conference (APSEC)

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The runtime environment is an important concern for self-adaptive systems (SASs). Although researchers have proposed many approaches for developing SASs that address the issue of uncertain runtime environments, the understanding of these environments varies depending on the objectives, perspectives, and assumptions of the research. Thus, the current understanding of the environment in SAS development is ambiguous and abstract. To make this understanding more concrete, we describe the landscape in this area through a systematic literature review (SLR). We examined 128 primary studies and 14 unique environment models. We investigated concepts of the environment depicted in the primary studies and the proposed environment models based on their ability to aid in understanding. This illustrates the characteristics of the SAS environment, the associated emerging environmental uncertainties, and what is expressed in the existing environment models. This paper makes explicit the implicit understanding about the environment made by the SAS research community and organizes and visualizes them.

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“…In order to provide a complete mobile HMI application, multiple concepts like UML Profile and Model to Text (M2T) transformation concepts are involved in the proposed solution. The MMHF is based on model driven engineering which includes the UML Profile Diagram to extend and enforce the meta-level concepts [31] in modeling the requirements of mobile HMI system. Proposed UML Profile only adds new domain specific concepts to the existing metamodels [39] and do not modify or create new metamodels.…”

Section: Research Gaps and Proposed Solutionmentioning

confidence: 99%

A Model-Driven Mobile HMI Framework (MMHF) for Industrial Control Systems

et al. 2020

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With the advent of software technologies, over a period of time, the Industrial Control Systems (ICSs) have grown exponentially. Whereas, almost all ICSs comprise Human Machine Interfaces (HMIs), which are the key component for monitoring and controlling complex industrial systems. For decades, traditional HMIs with simple User Interfaces (UIs) remained operational to minimize the complexities and resulting operational costs. However, due to the emergence of smartphone technologies, the perception about user interfaces has been transformed significantly and users now demand same sort of experience with industrial HMIs, as well. There are few industrial solutions, like, ICONICS GraphWorX to support the development of mobile HMI screens. However, such proprietary solutions are quite expensive. Furthermore, the underlying development approaches and source codes are not accessible in public domain. On the other hand, the state-of-the-art approaches for the development of native mobile HMI screens are hard to find in the literature. Consequently, there is dire need of a cost-effective, easy to use, open source framework for the development of native mobile HMI screens. In order to achieve this goal, here we propose, a Model-driven Mobile HMI Framework (MMHF). MMHF comprises, a Unified Modeling Language (UML) Profile for Mobile HMI (UMLPMH) for modeling of HMI screens. MMHF also includes, an open source transformation engine and a Model Driven Mobile-based HMI Code Generator (MDMHCG) to automatically transform UMLPMH models into target native mobile HMI implementations. Consequently, MMHF enables simpler way to design the HMI screens using UMLPMH and generates native Mobile HMI Screen implementations automatically using MDMHCG. The empirical evidence of MMHF is demonstrated through three (3) benchmark case studies, which prove that the MMHF is a feasible, cost effective and scalable solution to develop native HMI screens for wide-ranging ICSs. INDEX TERMS Human machine interface, mobile HMI, model driven engineering, unified modeling language, industrial control system, industry automation, Internet of Things (IoT).

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A systematic literature review of UML-based domain-specific modeling languages for self-adaptive systems

Cited by 11 publications

References 34 publications

Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains

Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains

Concepts and Models of Environment of Self-Adaptive Systems: A Systematic Literature Review

A Model-Driven Mobile HMI Framework (MMHF) for Industrial Control Systems

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