Collaborative editing of EMF/Ecore meta-models and models: Conflict detection, reconciliation, and merging in DiCoMEF

Koshima, Amanuel; Englebert, Vincent

doi:10.1016/j.scico.2015.07.004

Cited by 9 publications

(7 citation statements)

References 32 publications

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“…Although most of the modeling languages, e. g., EMF models, allow specifying ordered features, only 20.3 % (14 of 69) of the approaches (e. g., A25 [87], A37 [106], A42 [113]) in our study support conflicts resulting from ordered features. We also noticed that only three approaches (i. e., A01 [47], A05 [55], and A42 [113]) are fully implemented, indicating the need for more empirical works.…”

Section: Support Of Ordered Featuresmentioning

confidence: 99%

“…They present a webbased collaborative conflict lexicon in which a conflict is documented by providing a name, a description, the conflicting modifications, and the scenario leading to the conflict. A01 [47] has also explicitly defines conflicts by describing problematic relations among a set of conflicting operations. -Implicit Spec refers to approaches where the conflicts are self-defined using implicit relationships on conflict detection and prevention techniques.…”

Section: Conflict Specificationmentioning

confidence: 99%

“…In this study, our definition of conflict management approach in model merging is (i) a technique that tries to prevent conflicts and build a consistent and integrated model by warning collaborators from discordant changes or (ii) a mechanism that helps users describe a conflictual situation to detect and resolve inconsistencies and conflicts during the merge process. Several researchers [47,48,49,112] have addressed conflict management activities where each approach focused on one or more aspects. This variety of approaches may indicate that each conflict management activity can be carried out in different ways.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Conflict management techniques for model merging: a systematic mapping review

2022

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Model merging conflicts occur when different stakeholders aim to integrate their contradicting changes that are applied concurrently to update software models. We conduct an extensive systematic mapping study on conflict management techniques and relevant collaboration attributes to the versioning and merging models from 2001 to the middle of 2021. This study follows the standard guidelines within the software engineering domain. We analyzed a total of 105 articles extracted from an initial pool of more than 1800 articles to infer a taxonomy for conflict management techniques. We use this taxonomy to classify existing approaches to understand characteristics, shortcomings, and challenges on conflict management techniques in merging models. It also provides a solid foundation for future work in this area. We show that syntactic conflicts are the most studied type and that the top three popular conflict detection techniques are constraint violation, change overlapping, and pattern matching. We observe the lack of a comprehensive state-of-theart comparison between academic or industrial tools, as well as the need for real-world case studies. Finally, we show that recent trends have focused on online collaboration, where teams of stakeholders work on large-scale models.

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Section: Support Of Ordered Featuresmentioning

confidence: 99%

Section: Conflict Specificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Conflict management techniques for model merging: a systematic mapping review

2022

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“…Koshima et al propose DiCoMEF [13], a collaborative model-editing framework. Similarly to our approach, this tools detects conflicts at a low granularity level, the update operations.…”

Section: Related Workmentioning

confidence: 99%

Model Consistency for Distributed Collaborative Modeling

Sunyé

2017

Modelling Foundations and Applications

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Current collaborative modeling tools use a centralized architecture, based on version control system, where models are updated asynchronously. These tools depend on a single server and are not completely adapted for collaborative modeling, where update reactivity is essential. In this paper, we propose a framework for building collaborative modeling tools which provides synchronous model update. The framework is based on a peer-to-peer architecture and uses a consistency algorithm for model updating.

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“…So far, several approaches have been proposed to support conflict management in model merging. Most of these approaches provide conflict detection techniques such as constraint violation (e. g., [5]) and change overlapping (e. g., [6]) to discover conflictual situations that may occur due to the concurrent changes. Some approaches try to prevent conflicts using a pessimist lock-based versioning strategy (e. g., [7]).…”

Section: Introductionmentioning

confidence: 99%