![]() ![]() ![]() The proposed solution is integrated in a whole PaaS platform called MEASURE. To optimize this activity, our main idea is to periodically select relevant measures to be executed (among a set of possible measures) and automatize their analysis by using a dedicated tool. Measurements collection and analysis is key activity to assess software quality during its development live-cycle. Requests to improve the quality of software are increasing due to the competition in software industry and the complexity of software development integrating multiple technology domains (e.g., IoT, Big Data, Cloud, Artificial Intelligence, Security Technologies). Our implementation and the models used for evaluation are publicly available. We have used our DSL in the context of Papyrus-RT, an MDD tool for real-time and embedded software, and show how file-level modularity can (1) substantially improve performance and scalability of load and save operations, (2) enable collaborative model development, and (3) facilitate MDD-specific activities such as model comparison and incremental code generation. Our suite then generates an API and scripts to provide support for file-level modularity and facilitate using code-based versioning and build tools. We introduce a domain-specific language that allows defining, at the metamodel level: (1) the mapping between models’ elements and the file structure for model storage and (2) the dependencies between model elements that affect the code generation and compilation (if the integration with code-based tools is required). We argue that EMF-based MDD tools can benefit significantly from this file-level modularity not only by improving the performance and scalability of basic model operations, but also by simplifying many model management activities through the use of existing code versioning systems and build automation tools. In this work, we describe an approach for storing models in multiple files. Model-driven development (MDD) tools based on the Eclipse Modeling Framework (EMF) typically store all elements in a model in a single file which arguably is one of the main reasons why these tools do not scale well and cannot take advantage of existing code versioning systems and other related facilities such as Git and Make. 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. Where available, the query-specific indexed and derived attributes in Hawk outperformed the comprehensive generic caching in CDO. The design of the API was shown to make a bigger difference compared to the network protocol (HTTP/TCP) used. 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. 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. 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. 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. The folder icon is decorated to show that it is a java source folder.Recent research in scalable model-driven engineering now allows very large models to be stored and queried. The icon that represents a Project is decorated with a J to show that it is a Java Project. The package explorer shows the newly created Java project. ![]() On the second page you can change the Java Build Settings like setting the Project dependency (if there are multiple projects) and adding additional jar files to the build path. You can click on the Finish button to create the project or click on the Next button to change the java build settings. The recommended option is to create separate folders for sources and class files. Select the Project Layout which determines whether there would be a separate folder for the source codes and class files. Select the Java Runtime Environment (JRE) or leave it at the default The New Java Project Wizard has two pages. There are many ways to open this wizard −īy clicking on the File menu and choosing New →Java Project.īy right clicking anywhere in the Project Explorer and selecting New → Java Project.īy clicking on the New button ( ) in the Tool bar and selecting Java Project. The New Java Project wizard can be used to create a new java project. ![]()
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