Impediments to Introducing Continuous Integration for Model-Based Development in Industry

Jongeling, Robbert; Carlson, Jan; Cicchetti, Antonio

doi:10.1109/seaa.2019.00071

Cited by 9 publications

(6 citation statements)

References 17 publications

(19 reference statements)

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“…Moreover, LEMMA's model processing framework provides means to develop model processors as standalone executable Java applications. This characteristic is crucial for the integration of model processors into continuous integration pipelines [43], which constitute a component in DevOps-based MSA engineering [6,9]. Figure 2 illustrates the interplay of intermediate model transformations, and the implementation and execution of model processors with LEMMA.…”

Section: Microservice Architecture Model Constructionmentioning

confidence: 99%

Applying Model-Driven Engineering to Stimulate the Adoption of DevOps Processes in Small and Medium-Sized Development Organizations

et al. 2021

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Microservice architecture (MSA) denotes an increasingly popular architectural style in which business capabilities are wrapped into autonomously developable and deployable software components called microservices. Microservice applications are developed by multiple DevOps teams each owning one or more services. In this article, we explore the state of how DevOps teams in small and medium-sized organizations (SMOs) cope with MSA and how they can be supported. We show through a secondary analysis of an exploratory interview study comprising six cases, that the organizational and technological complexity resulting from MSA poses particular challenges for small and medium-sized organizations (SMOs). We apply model-driven engineering to address these challenges. As results of the second analysis, we identify the challenge areas of building and maintaining a common architectural understanding, and dealing with deployment technologies. To support DevOps teams of SMOs in coping with these challenges, we present a model-driven workflow based on LEMMA—the Language Ecosystem for Modeling Microservice Architecture. To implement the workflow, we extend LEMMA with the functionality to (i) generate models from API documentation; (ii) reference remote models owned by other teams; (iii) generate deployment specifications; and (iv) generate a visual representation of the overall architecture. We validate the model-driven workflow and our extensions to LEMMA through a case study showing that the added functionality to LEMMA can bring efficiency gains for DevOps teams. To develop best practices for applying our workflow to maximize efficiency in SMOs, we plan to conduct more empirical research in the field in the future.

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Section: Microservice Architecture Model Constructionmentioning

confidence: 99%

Applying Model-Driven Engineering to Stimulate the Adoption of DevOps Processes in Small and Medium-Sized Development Organizations

et al. 2021

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“…However, model-based development requires high expertise and is typically cumbersome to implement [32,33]. Specifically, multiple views are required to detail the composition and behavior of the developed systems, as regularly reported in modeling research [34][35][36], and these are difficult to communicate with stakeholders of diverse backgrounds (including nontechnical staff) [21].…”

Section: System Development Concernsmentioning

confidence: 99%

“…Furthermore, the model-based development of software-intensive systems is perceived as inflexible and restrictive. Using a model-based approach in rapid development iteration scenarios (considered a key technique in prototyping [37])-which involve both design and implementation-is not considered useful, and the applicability of modeling in such cases is questioned by practitioners [33].…”

Section: System Development Concernsmentioning

confidence: 99%

Modeling for Rapid Systems Prototyping: Hospital Situational Awareness System Design

Shaked

2021

Systems

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The COVID-19 pandemic caught hospitals unprepared. The need to treat patients remotely and with limited resources led hospitals to identify a gap in their operational situational awareness. During the pandemic, Israeli Aerospace Industries helped hospitals to address the gap by designing a system to support their effective operation, management and decision making. In this paper, we report on the development of a functional, working prototype of the system using model-based engineering approach and tools. Our approach relies on domain-specific modeling, incorporating metamodeling and domain-specific representations based on the problem domain’s ontology. The tools practiced are those embedded into the Eclipse Modeling Framework—specifically, Ecore Tools and Sirius. While these technological tools are typically used to create dedicated, engineering-related modeling tools, in this work, we use them to create a functional system prototype. We discuss the advantages of our approach as well as the challenges with respect to the existing tools and their underlying technology. Based on the reported experience, we encourage practitioners to adopt model-based engineering as an effective way to develop systems. Furthermore, we call researchers and tool developers to improve the state-of-the-art as well as the existing implementations of pertinent tools to support model-based rapid prototyping.

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Section: Microservice Architecture Model Processingmentioning

confidence: 99%

Applying Model-Driven Engineering to Stimulate the Adoption of DevOps Processes in Small and Medium-Sized Development Organizations

Sorgalla¹,

Wizenty²,

Rademacher³

et al. 2021

Preprint

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Purpose: Microservice Architecture (MSA) denotes an increasingly popular architectural style in which business capabilities are wrapped into autonomously developable and deployable software components called microservices. Microservice applications are developed by multiple DevOps teams each owning one or more services. In this article, we explore the state of how DevOps teams in small and medium-sized organizations (SMOs) cope with MSA and how they can be supported. Methods: We show through a secondary analysis of an exploratory interview study comprising six cases, that Attention. This is a preprint draft version.

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Impediments to Introducing Continuous Integration for Model-Based Development in Industry

Cited by 9 publications

References 17 publications

Applying Model-Driven Engineering to Stimulate the Adoption of DevOps Processes in Small and Medium-Sized Development Organizations

Applying Model-Driven Engineering to Stimulate the Adoption of DevOps Processes in Small and Medium-Sized Development Organizations

Modeling for Rapid Systems Prototyping: Hospital Situational Awareness System Design

Applying Model-Driven Engineering to Stimulate the Adoption of DevOps Processes in Small and Medium-Sized Development Organizations

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