Mogwaï: A framework to handle complex queries on large models

Daniel, Gwendal; Sunyé, Gerson; Cabot, Jordi

doi:10.1109/rcis.2016.7549343

Cited by 20 publications

(29 citation statements)

References 23 publications

(37 reference statements)

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“…Gremlin recently appeared in a number of works such as Model-to-Model transformation [35], modeling and discovering vulnerabilities in source code [32].…”

Section: ) Gremlinmentioning

confidence: 99%

Reverse Engineering State and Strategy Design Patterns using Static Code Analysis

Mohamed¹,

Kamel²

2018

ijacsa

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Abstract-This paper presents an approach to detect behavioral design patterns from source code using static analysis techniques. It depends on the concept of Code Property Graph and enriching graph with relationships and properties specific to Design Patterns, to simplify the process of Design Pattern detection. This approach used NoSQL graph database (Neo4j) and uses graph traversal language (Gremlin) for doing graph matching. Our approach, converts the tasks of design pattern detection to a graph matching task by representing Design Patterns in form of graph queries and running it on graph database.

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“…Gremlin recently appeared in a number of works such as Model-to-Model transformation [35], modeling and discovering vulnerabilities in source code [32].…”

Section: ) Gremlinmentioning

confidence: 99%

Reverse Engineering State and Strategy Design Patterns using Static Code Analysis

Mohamed¹,

Kamel²

2018

ijacsa

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“…OCL's "Type.allInstances()") or avoid constructing intermediate objects in memory. Mogwaï is a model query framework that tackles this issue for models stored in NeoEMF/Graph, translating OCL queries to Tinkerpop Gremlin through ATL and reporting reductions in execution up to a factor of 20 [11]. 9 http://wiki.eclipse.org/Teneo/Hibernate.…”

Section: Database-backed Model Persistencementioning

confidence: 99%

Stress-testing remote model querying APIs for relational and graph-based stores

et al. 2017

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Recent research in scalable model-driven engineering now allows very large models to be stored and queried. Due to their size, rather than transferring such models over the network in their entirety, it is typically more efficient to access them remotely using networked services (e.g. model repositories, model indexes). Little attention has been paid so far to the nature of these services, and whether they remain responsive with an increasing number of concurrent clients. This paper extends a previous empirical study on the impact of certain key decisions on the scalability of concurrent model queries on two domains, using an Eclipse Connected Data Objects model repository, four configurations of the Hawk model index and a Neo4j-based configuration of the NeoEMF model store. The study evaluates the impact of the network protocol, the API design, the caching layer, the query language and the type of database and analyses the reasons for their varying levels of performance. The design of the API was shown to make a bigger difference compared to the network protocol (HTTP/TCP) used. Where available, the query-specific indexed and derived attributes in Hawk outperformed the comprehensive generic caching in CDO. Finally, the results illustrate the still ongoing evolution of graph databases: two tools using different versions of the same backend had very different performance, with one slower than CDO and the other faster than it.

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“…The mapping presented in this Section is adapted from the one presented in [8] dedicated to OCL query evaluation on NeoEMF, a scalable model persistence framework designed to store models into graph databases [2]. In this Section, we present the Gremlin language and describe how OCL expressions are transformed into Gremlin queries according to the UML to GraphDB mapping.…”

Section: Translating Ocl Expressions To Gremlinmentioning

confidence: 99%

“…Note that due to lack of space we only present a subset of the OCL expressions which are supported by our approach. A complete version of this mapping is available in previous work [8]. These mappings are systematically applied on the input OCL expression, following a postorder traversal of the OCL Abstract Syntax Tree.…”

Section: The Gremlin Query Languagementioning

confidence: 99%

“…Generated Client Java Class UMLtoGraphDB has been implemented as a collection of open-source Eclipse plugins, available on Github 7 . UMLtoGraphDB takes as input the UML and OCL files (defined, for instance, using Eclipse-based UML editors such as Papyrus 8 ), that are then translated, respectively, by the Class2GraphDB and OCL2Gremlin ATL transformations seen before. These transformations add up to a total of 110 rules and helper functions.…”

Section: Inv ( ) F I L T E R ( V 3 V G E T ( ) < Boolean > P R mentioning

confidence: 99%

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UMLtoGraphDB: Mapping Conceptual Schemas to Graph Databases

Daniel

Sunyé

Cabot

2016

Conceptual Modeling

Self Cite

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Abstract. The need to store and manipulate large volume of (unstructured) data has led to the development of several NoSQL databases for better scalability. Graph databases are a particular kind of NoSQL databases that have proven their efficiency to store and query highly interconnected data, and have become a promising solution for multiple applications. While the mapping of conceptual schemas to relational databases is a well-studied field of research, there are only few solutions that target conceptual modeling for NoSQL databases and even less focusing on graph databases. This is specially true when dealing with the mapping of business rules and constraints in the conceptual schema. In this article we describe a mapping from UML/OCL conceptual schemas to Blueprints, an abstraction layer on top of a variety of graph databases, and Gremlin, a graph traversal language, via an intermediate Graph metamodel. Tool support is fully available.

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Mogwaï: A framework to handle complex queries on large models

Cited by 20 publications

References 23 publications

Reverse Engineering State and Strategy Design Patterns using Static Code Analysis

Reverse Engineering State and Strategy Design Patterns using Static Code Analysis

Stress-testing remote model querying APIs for relational and graph-based stores

UMLtoGraphDB: Mapping Conceptual Schemas to Graph Databases

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