2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS)最新文献_第3页

Designing a Modeling Language for Customer Journeys: Lessons Learned from User Involvement 为客户旅程设计一种建模语言:从用户参与中学到的经验

2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS) Pub Date : 2021-10-01 DOI: 10.1109/MODELS50736.2021.00032

R. Halvorsrud, Costas Boletsis, Enrique Garcia-Ceja

{"title":"Designing a Modeling Language for Customer Journeys: Lessons Learned from User Involvement","authors":"R. Halvorsrud, Costas Boletsis, Enrique Garcia-Ceja","doi":"10.1109/MODELS50736.2021.00032","DOIUrl":"https://doi.org/10.1109/MODELS50736.2021.00032","url":null,"abstract":"Although numerous methods have been formalized for handling the technical aspects of developing domain-specific modeling languages (DSMLs), user needs and usability aspects are often addressed in ad hoc manners and late in the development process. Working in this context, this paper presents the development of the customer journey modeling language (CJML), a DSML for modeling service processes from the end-user's perspective. CJML targets a wide and heterogeneous group of users, making it especially challenging regarding usability. This paper describes how an industry-relevant DSML was systematically improved by using a variety of user-centered design techniques in close collaboration with the target group and how their feedback was used to refine and evolve the syntax and semantics of CJML. We also suggest how a service-providing organization may benefit from adopting CJML as a unifying language for documentation purposes, compliance analysis, and service innovation. Finally, we generalize the experience gained into lessons learned and methodological guidelines.","PeriodicalId":375828,"journal":{"name":"2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS)","volume":"464 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130258635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Identifying manual changes to generated code: Experiences from the industrial automation domain 识别对生成代码的手工更改:来自工业自动化领域的经验

2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS) Pub Date : 2021-10-01 DOI: 10.1109/MODELS50736.2021.00013

R. Jongeling, Sachin Bhatambrekar, Anders Lofberg, A. Cicchetti, Federico Ciccozzi, Jan Carlson

引用次数: 0

DataTime: a Framework to smoothly Integrate Past, Present and Future into Models DataTime:一个将过去、现在和未来顺利集成到模型中的框架

2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS) Pub Date : 2021-10-01 DOI: 10.1109/MODELS50736.2021.00022

Gauthier Lyan, J. Jézéquel, D. Gross-Amblard, B. Combemale

{"title":"DataTime: a Framework to smoothly Integrate Past, Present and Future into Models","authors":"Gauthier Lyan, J. Jézéquel, D. Gross-Amblard, B. Combemale","doi":"10.1109/MODELS50736.2021.00022","DOIUrl":"https://doi.org/10.1109/MODELS50736.2021.00022","url":null,"abstract":"Models at runtime have been initially investigated for adaptive systems. Models are used as a reflective layer of the current state of the system to support the implementation of a feedback loop. More recently, models at runtime have also been identified as key for supporting the development of full-fledged digital twins. However, this use of models at runtime raises new challenges, such as the ability to seamlessly interact with the past, present and future states of the system. In this paper, we propose a framework called DataTime to implement models at runtime which capture the state of the system according to the dimensions of both time and space, here modeled as a directed graph where both nodes and edges bear local states (ie. values of properties of interest). DataTime provides a unifying interface to query the past, present and future (predicted) states of the system. This unifying interface provides i) an optimized structure of the time series that capture the past states of the system, possibly evolving over time, ii) the ability to get the last available value provided by the system's sensors, and iii) a continuous micro-learning over graph edges of a predictive model to make it possible to query future states, either locally or more globally, thanks to a composition law. The framework has been developed and evaluated in the context of the Intelligent Public Transportation Systems of the city of Rennes (France). This experimentation has demonstrated how DataTime can deprecate the use of heterogeneous tools for managing data from the past, the present and the future, and facilitate the development of digital twins.","PeriodicalId":375828,"journal":{"name":"2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125114516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Identifying Metamodel Inaccurate Structures During Metamodel/Constraint Co-Evolution 元模型/约束协同演化过程中元模型不准确结构的识别

2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS) Pub Date : 2021-10-01 DOI: 10.1109/MODELS50736.2021.00012

Elyes Cherfa, S. Mesli-Kesraoui, Chouki Tibermacine, Salah Sadou, Régis Fleurquin

{"title":"Identifying Metamodel Inaccurate Structures During Metamodel/Constraint Co-Evolution","authors":"Elyes Cherfa, S. Mesli-Kesraoui, Chouki Tibermacine, Salah Sadou, Régis Fleurquin","doi":"10.1109/MODELS50736.2021.00012","DOIUrl":"https://doi.org/10.1109/MODELS50736.2021.00012","url":null,"abstract":"Metamodels are subject to evolution over their lifetime. UML metamodel for instance evolved through different versions, ranging from 0.8 to 2.5 minors. These metamodels are sometimes accompanied with constraints defined using OCL (Object Constraint Language). Many works in the literature developed methods for managing and assisting the co-evolution of metamodels and their constraints. These methods enable a developer to update, in an automated (or semi-automated) way, the constraints associated to a metamodel starting from the deltas identified between versions of this metamodel. In this work we complement this assistance by notifying the developer with potential inaccurate structures in the metamodel that may be introduced during evolution. We introduce in this paper an original evolution assistance method which focuses rather on the problem (notifying metamodel inaccurate structures) than on the solution (generating OCL constraints using patterns of them). The ultimate goal of this assistance is not only to enable the developer to complete existing/updated constraints with new ones, but also to accompany her/him to further check existing constraints and to test whether they still hold. A case study is presented to show the relevance of the method.","PeriodicalId":375828,"journal":{"name":"2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124079500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Collaborative Model-Driven Software Engineering: A Systematic Update 协同模型驱动软件工程:系统更新

2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS) Pub Date : 2021-10-01 DOI: 10.1109/MODELS50736.2021.00035

István Dávid, K. Aslam, Sogol Faridmoayer, I. Malavolta, Eugene Syriani, P. Lago

引用次数: 18

[Copyright notice] (版权)

2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS) Pub Date : 2021-10-01 DOI: 10.1109/models50736.2021.00003

引用次数: 0

Preface to the 24th International ACM/IEEE Conference on Model Driven Engineering Languages and Systems (MoDELS) 第24届ACM/IEEE模型驱动工程语言和系统(模型)国际会议前言

2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS) Pub Date : 2021-10-01 DOI: 10.1109/models50736.2021.00005

引用次数: 0

Quality Guidelines for Research Artifacts in Model-Driven Engineering 模型驱动工程中研究工件的质量指南

2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS) Pub Date : 2021-08-10 DOI: 10.1109/MODELS50736.2021.00036

C. Damasceno, D. Strüber

{"title":"Quality Guidelines for Research Artifacts in Model-Driven Engineering","authors":"C. Damasceno, D. Strüber","doi":"10.1109/MODELS50736.2021.00036","DOIUrl":"https://doi.org/10.1109/MODELS50736.2021.00036","url":null,"abstract":"Sharing research artifacts is known to help people to build upon existing knowledge, adopt novel contributions in practice, and increase the chances of papers receiving attention. In Model-Driven Engineering (MDE), openly providing research artifacts plays a key role, even more so as the community targets a broader use of AI techniques, which can only become feasible if large open datasets and confidence measures for their quality are available. However, the current lack of common discipline-specific guidelines for research data sharing opens the opportunity for misunderstandings about the true potential of research artifacts and subjective expectations regarding artifact quality. To address this issue, we introduce a set of guidelines for artifact sharing specifically tailored to MDE research. To design this guidelines set, we systematically analyzed general-purpose artifact sharing practices of major computer science venues and tailored them to the MDE domain. Subsequently, we conducted an online survey with 90 researchers and practitioners with expertise in MDE. We investigated our participants’ experiences in developing and sharing artifacts in MDE research and the challenges encountered while doing so. We then asked them to prioritize each of our guidelines as essential, desirable, or unnecessary. Finally, we asked them to evaluate our guidelines with respect to clarity, completeness, and relevance. In each of these dimensions, our guidelines were assessed positively by more than 92% of the participants. To foster the reproducibility and reusability of our results, we make the full set of generated artifacts available in an open repository at https://mdeartifacts.github.io/.","PeriodicalId":375828,"journal":{"name":"2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129761463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Concept for a Qualifiable (Meta)-Modeling Framework Deployable in Systems and Tools of Safety-Critical and Cyber-Physical Environments 一个可在安全关键环境和网络物理环境的系统和工具中部署的合格(元)建模框架的概念

2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS) Pub Date : 2021-08-09 DOI: 10.1109/MODELS50736.2021.00025

Vanessa Tietz, Julian Schoepf, A. Waldvogel, B. Annighoefer

{"title":"A Concept for a Qualifiable (Meta)-Modeling Framework Deployable in Systems and Tools of Safety-Critical and Cyber-Physical Environments","authors":"Vanessa Tietz, Julian Schoepf, A. Waldvogel, B. Annighoefer","doi":"10.1109/MODELS50736.2021.00025","DOIUrl":"https://doi.org/10.1109/MODELS50736.2021.00025","url":null,"abstract":"The development of cyber-physical systems can significantly benefit from domain-specific modeling and requires adequate (meta)-modeling frameworks. If such systems are designed for the safety-critical area, the systems must undergo qualification processes defined and monitored by a certification authority. To use the resulting artifacts of modeling tools without further qualification activities, the modeling tool must be additionally qualified. Tool qualification has to be conducted by the tool user and can be assisted by the tool developer by providing qualification artifacts. However, state-of-the-art domain-specific modeling frameworks barely support the user in the qualification process, which results in an extensive manual effort. To reduce this effort and to avoid modeling constructs that can hardly be implemented in a qualifiable way, we propose the development of an open source (meta)-modeling framework that inherently considers qualification issues. Based on the functionality of existing frameworks, we have identified components that necessarily need to be rethought or changed. This leads to the consideration of the following six cornerstones for our framework: (1) an essential meta-language, (2) a minimal runtime, (3) deterministic transformations, (4) a qualification artifact generation, (5) a sophisticated visualization, and (6) a decoupled interaction of framework components. All these cornerstones consider the aspect of a safety-critical (meta)-modeling framework in their own manner. This combination leads to a holistic framework usable in the safety-critical system development domain.","PeriodicalId":375828,"journal":{"name":"2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127698942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Collaborative Software Modeling in Virtual Reality 虚拟现实中的协同软件建模

2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS) Pub Date : 2021-07-27 DOI: 10.1109/MODELS50736.2021.00034

Enes Yigitbas, Simon Gorissen, Nils Weidmann, G. Engels

{"title":"Collaborative Software Modeling in Virtual Reality","authors":"Enes Yigitbas, Simon Gorissen, Nils Weidmann, G. Engels","doi":"10.1109/MODELS50736.2021.00034","DOIUrl":"https://doi.org/10.1109/MODELS50736.2021.00034","url":null,"abstract":"Modeling is a key activity in conceptual design and system design. Through collaborative modeling, end-users, stakeholders, experts, and entrepreneurs are able to create a shared understanding of a system representation. While the Unified Modeling Language (UML) is one of the major conceptual modeling languages in object-oriented software engineering, more and more concerns arise from the modeling quality of UML and its tool-support. Among them, the limitation of the two-dimensional presentation of its notations and lack of natural collaborative modeling tools are reported to be significant. In this paper, we explore the potential of using Virtual Reality (VR) technology for collaborative UML software design by comparing it with classical collaborative software design using conventional devices (Desktop PC / Laptop). For this purpose, we have developed a VR modeling environment that offers a natural collaborative modeling experience for UML Class Diagrams. Based on a user study with 24 participants, we have compared collaborative VR modeling with conventional modeling with regard to efficiency, effectiveness, and user satisfaction. Results show that the use of VR has some disadvantages concerning efficiency and effectiveness, but the user's fun, the feeling of being in the same room with a remote collaborator, and the naturalness of collaboration were increased.","PeriodicalId":375828,"journal":{"name":"2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134084869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11