Envisioning Model-Based Performance Engineering Frameworks

ArgoSPE: Model-Based Software Performance Engineering

Stochastic Petri nets (SPNs) have been proved useful for the quantitative analysis of systems. This paper introduces ArgoSPE, a tool for the performance evaluation of software systems in the first stages of the life-cycle. ArgoSPE implements a performance evaluation process that builds on the principles of the software performance engineering (SPE). The theory behind the tool, i.e. the underlyi...

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

Putting Performance Engineering into Model-Driven Engineering: Model-Driven Performance Engineering

Late identification of performance problems can lead to significant additional development costs. Hence, it is necessary to address performance in several development phases by performing a performance engineering process. We show that Model-Driven Engineering (MDE) specifics can be utilised for performance engineering. Therefore, we propose a process combining MDE and performance engineering c...

Reference Model for Frameworks of Software Engineering Environments

Overview of Architecture Frameworks and Modeling Languages for Model - Based Systems Engineering

Model-based systems engineering is a relatively new discipline. As a result, many system designers are not familiar with the main concepts of model-based systems engineering and how it can beneficially impact systems design. The paper presents an overview of architecture frameworks and modeling languages for model-based systems engineering as well as indicates future trends. INTRODUCTION While ...