9th Workshop on Modelling in Software Engineering, Buenos Aires, Argentinien

Abbrevation

MiSE

Link

http://tinyurl.com/MiSE2017

City

Buenos Aires

Country

Argentina

Deadline Paper

2017-01-20

Start Date

2017-05-21

End Date

2017-05-22

Abstract

Models have long been used in the development of complex systems. Their use is becoming more prevalent in the software development domain as modeling techniques and tools mature. Despite this, there are many challenging issues that the modeling research community must address if software modeling practices are to become mainstream. Furthermore software and systems become more intertwined and the modeling techniques used for systems engineering need to be harmonized with software models. The purpose of this 2–day workshop is to promote the use of models in the engineering of software systems. In particular, we are interested in the exchange of innovative technical ideas and experiences related to modeling. Engineers have used models to effectively manage complexity for centuries, and there is a growing body of work on the use of models to manage inherent problem and solution complexity in software development. The use of software models will become more prevalent as methodologies and tools that manipulate models at various levels of abstraction become available. Workshop activities will focus on analyzing successful applications of software–modeling techniques to gain insights into challenging modeling problems, including: (1) identifying, describing, and using appropriate abstractions, (2) supporting incremental, iterative development through the use of appropriate model composition, transformation and other model manipulation operators, and (3) automated analysis of possibly large, possibly incomplete models to determine the presence or absence of desired and undesired properties. Topics of interest include: – Modeling notations and tools – Metamodeling – Abstractions and modeling methodologies – Model–based analysis and synthesis – Model transformation and composition – Model evaluation – Model management – Extracting models from software artifacts – Models for learning machines – Models of big and smart data – Use of models for downstream activities – Modeling the system environment – Modeling cyber–physical systems – Models at runtime (e.g., for software adaptation) – Models for ``what–if?′′ analysis and prognostics – Empirical studies – Domain–specific modeling – management using models – Model reuse – Further uses of modeling