![]() Thus, we mined meta models and their instances from git repositories associated with Eclipse projects (, accessed ), including their version history. The Eclipse modeling framework (EMF) is the major framework for developing and using EMF models providing a rich ecosystem developing many models and meta models. We present such a data set and describe our data collection method. Unfortunately, there is a lack of data sets containing models, their meta models, and their evolution history. Data sets of models from practice are highly valuable as input for different modelling research areas, e.g., performance benchmarks for modelling tools and analysing model transformations, as well as in empirical research, e.g., understanding how models are designed and evolve over time. A Dataset of EMF Models from Eclipse Projects: Models are key artefacts in Model-driven software engineering.State Elimination as Model Transformation Problem - Tool and data set created for the TTC 2017.ConsistAnts - consistency checker for probabilistic software quality models.Industry 4.0 interface implementation of the xPPU can be found on Github. Tools can be found on KAMP-Website and on Github. SQuAT ( Repo): SQuAT is an approach for concern-driven distributed multi-objective optimization of software architectures.QPME ( Repo): QPME (Queueing Petri net Modeling Environment) is an open-source tool for stochastic modeling and analysis based on the Queueing Petri Net (QPN) modeling formalism.PMX ( Repo): The Performance Model eXtractor (PMX) tool automates the extraction of architectural performance models form measurement data.DML ( Repo): The Descartes Modeling Language (DML) is an architecture-level modeling language for quality-of-service and resource management of modern dynamic IT systems and infrastructures.WESSBAS ( ): WESSBAS presents an approach that aims to automate the extraction and transformation of workload specifications for load testing and model-based performance prediction of session-based application systems.Kieker ( Repo): Kieker provides complementary dynamic analysis capabilities, i.e., monitoring and analyzing a software system’s runtime behavior - enabling application performance monitoring and architecture discovery.DQL ( Repo): The Descartes Query Language (DQL) enables to query performance of a system using adapters to various solution approaches, decoupling the description of user concerns (performance questions and goals) from the task of selecting and applying a specific solution approach.fastpan: A framework for model-agnostic software performance analysis.CASPA ( Repo): CASPA is a ready-to-use and extensible evaluation platform that already includes example applications and state-of-the-art SPE components, such as monitoring and model extraction. ![]() Open.xtrace ( Repo): Open Execution Trace Exchange (OPEN.xtrace) is a format that enables data interoperability and exchange between application performance monitoring (APM) tools and software performance engineering (SPE) approaches.Kieker4DQL ( Repo): Kieker4DQL is an adapter for the Descartes Query Language (DQL) that performs query processing for the Kieker application monitoring tool.Both CuuSE and ConDec are integrated via a webhook system. The developers can visualize the documented decision knowledge related to code, commit messages, and JIRA issues such as features, tasks to implement a feature, or bug reports. For decision knowledge, we develop ConDec plug-ins for JIRA and Git that enable developers to manage decision knowledge. The CuuSE platform, which will be available soon, can receive and visualize this usage knowledge. For usage knowledge, we provide a software development kit that enables developers to monitor usage data and collect feature crumbs. : Tools and platforms for the CURES project.The following list shows the tools that were build (and some of the datasets used) during SPP1593.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |