We propose to integrate performance analysis in the early phases of the model-driven development process for Software Product Lines (SPL). We start with a multi-view UML model of the core family assets representing the commonality and variability between different products, which we call the SPL model. We add another perspective to the SPL model, annotating it with generic performance specifications expressed in the standard UML profile MARTE, recently adopted by OMG. The runtime performance of a product is affected by factors contained in the UML model of the product (derived from the SPL model), but also by external factors depending on the implementation and execution environments. The external factors not contained in the SPL model need to be eventually represented in the performance model. In order to do so, we propose to represent the variability space of different possible implementation and execution environments through a so called "performance completion (PC) feature model". These PC features are mapped to MARTE performancerelated stereotypes and attributes attached to the SPL model elements. A first model transformation realized in the Atlas Transformation Language (ATL) derives the UML model of a specific product with concrete MARTE annotations from the SPL model. A second transformation generates a Layered Queueing Network (LQN) performance model for the given product by applying an existing transformation named PUMA, developed in previous work. The proposed technique is illustrated with an e-commerce case study. A LQN model is derived for a product and the impact of different levels of secure communication channels on its performance is analyzed by using the LQN model.

No abstract

Abstract. The paper proposes to integrate performance analysis in the early phases of the model-driven development process for Software Product Lines (SPL). We start by adding generic performance annotations to the UML model representing the set of core reusable SPL assets. The annotations are generic and use the MARTE Profile recently adopted by OMG. A first model transformation realized in the Atlas Transformation Language (ATL), which is the focus of this paper, derives the UML model of a specific product with concrete MARTE performance annotations from the SPL model. A second transformation generates a Layered Queueing Network performance model for the given product by applying an existing transformation approach named PUMA, developed in previous work. The proposed technique is illustrated with an e-commerce case study that models the commonality and variability in both structural and behavioural SPL views. A product is derived and the performance of two design alternatives is compared.

Abstract. Goal-oriented languages have been used for years to model and reason about functional, non-functional, and legal requirements. It is however difficult to develop and maintain these models, especially when many models overlap with each other. This becomes an even bigger challenge when a single, generic model is used to capture a family of related goal models but different evaluations are required for each individual family member. In this work, we use ITU-T's Goal-oriented Requirement Language (GRL) and the jUCMNav tool to illustrate the problem and to formulate a solution that exploits the flexibility of standard GRL. In addition, we report on our recent experience on the modeling of aerodrome regulations. We demonstrate the usefulness of specifying families of goal models to address challenges associated with the maintenance of models used in the regulatory domain. We finally define and illustrate a new tool-supported algorithm used to evaluate individual goal models that are members of the larger family model.

No abstract