We can work it out: Collaborative Conflict Resolution in Model Versioning

Brosch, Petra; Seidl, Martina; Wieland, Konrad; Wimmer, Manuel; Langer, Philip

doi:10.1007/978-1-84882-854-4_12

Cited by 21 publications

(15 citation statements)

References 6 publications

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“…[1,2,13,14,25,30] and DSE Merge are state-based as they execute a comparison process between model states. However, [23] [1,2,13,25,30] are semi-automated as they use a two-phase process: (i) they apply the non-conicting operations and then (ii) let the user prioritize and select the operation to apply in case of two conicting changes. This always results in a single solution due to the manual resolution by the user.…”

Section: Related Workmentioning

confidence: 99%

Automated Model Merge by Design Space Exploration

Debreceni

Ráth

Varró

et al. 2016

Fundamental Approaches to Software Engineering

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Abstract. Industrial applications of model-driven engineering to develop large and complex systems resulted in an increasing demand for collaboration features. However, use cases such as model dierencing and merging have turned out to be a dicult challenge, due to (i) the graphlike nature of models, and (ii) the complexity of certain operations (e.g. hierarchy refactoring) that are common today. In the paper, we present a novel search-based automated model merge approach where rule-based design space exploration is used to search the space of solution candidates that represent conict-free merged models. Our method also allows engineers to easily incorporate domain-specic knowledge into the merge process to provide better solutions. The merge process automatically calculates multiple merge candidates to be presented to domain experts for nal selection. Furthermore, we propose to adopt a generic synthetic benchmark to carry out an initial scalability assessment for model merge with large models and large change sets.

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Section: Related Workmentioning

confidence: 99%

Automated Model Merge by Design Space Exploration

Debreceni

Ráth

Varró

et al. 2016

Fundamental Approaches to Software Engineering

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“…Online modeling collaboration tools [17], [18] allow developers to discuss changes in a synchronous way. Instead, Collaboro enables offline collaborations and a more formal representation of the collaborations (e.g., voting system, explicit argumentation and rationale, traceability).…”

Section: E Implementationmentioning

confidence: 99%

Community-driven language development

Izquierdo

Cabot

2012

2012 4th International Workshop on Modeling in Software Engineering (MISE)

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Abstract-Software development processes are becoming more collaborative, trying to integrate end-users as much as possible. The idea is to advance towards a communitydriven process where all actors (both technical and nontechnical) work together to ensure that the system-to-be will satisfy all expectations. This seems specially appropriate in the field of Domain-Specific Languages (DSLs) typically designed to facilitate the development of software for a particular domain. DSLs offer constructs closer to the vocabulary of the domain which simplifies the adoption of the DSL by endusers. Interestingly enough, the development of DSLs is not a collaborative process itself. In this sense, the goal of this paper is to propose a collaborative infrastructure for the development of DSLs where end-users have a direct and active participation in the evolution of the language. This infrastructure is based on Collaboro, a DSL to represent change proposals, possible solutions and comments arisen during the development and evolution of a language.

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“…Odyssey-VCS 2 [35] and AMOR [2,7] particularly have a focus on the versioning aspect of model management (see also [3]), e.g., for the conflict resolution in collaborative development (cf. [8]). …”

Section: Related Work On Model Repositoriesmentioning

confidence: 99%

Model-aware Monitoring of SOAs for Compliance

Holmes

Mulo

Zdun

et al. 2011

Service Engineering

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Business processes today are supported by process-driven service oriented architectures. Due to the increasing importance of compliance of an organization with regulatory requirements and internal policies, there is a need for appropriate techniques to monitor organizational information systems as they execute business processes. Event-based monitoring of processes is one of the ways to provide runtime process-state information. This type of monitoring, however, has limitations mostly related to the type and amount of information available in events and process engines. We propose a novel approach -model-aware monitoring of business processes -to address these limitations. Emitted events contain unique identifiers of models that can be retrieved dynamically during runtime from a model-aware repository and service environment (MORSE). The size of the events is kept small and patterns of events that signify interesting occurrences are identified through complex event processing and are signaled to interesting components such as a business intelligence. To illustrate our approach we present an industry case study where we have applied this generic infrastructure for the compliance monitoring of business processes.

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We can work it out: Collaborative Conflict Resolution in Model Versioning

Cited by 21 publications

References 6 publications

Automated Model Merge by Design Space Exploration

Automated Model Merge by Design Space Exploration

Community-driven language development

Model-aware Monitoring of SOAs for Compliance

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