PRECISE - Um processo de verificação formal para modelos de características de aplicações móveis e sensíveis ao contexto

Abstract

SPLc have been used to develop different types of applications, including the ones that run on mobile devices and are able to adapt when the context elements in which they are located change. These applications can change due to variations in their execution environment and inconsistent adaptations can occur, compromising the expected behavior. Then there is a need for creating a verification process to check the correctness and consistency of these SPLs as well as to check the correctness of both derived products and adapted products from these SPLs. Thus, this work proposes PRECISE - A Formal Verification Process for Feature Models of Mobile and Context-Aware Applications. PRECISE helps to identify defects in the variability modeling of an SPL for mobile and context-aware applications, minimizing problems that can take place during the execution of products generated from this SPL. It is worth noting that PRECISE is defined based on a formal specification and a set of well-formedness properties developed using First-Order Logic, which are prerequisites for the achievement of an unambiguous variability modeling. To evaluate PRECISE, a validation is performed from the formal specification and well-formedness properties defined in the process. This validation intends to show that PRECISE is able to identify defects, anomalies and inconsistencies in a variability model of an SPL for mobile and context-aware applications. In this validation, five different techniques are used: UML Profile, OCL, Propositional Logic, Prolog and Simulation. While minimizing the defects and inconsistencies in the variability models of an SPL, PRECISE still benefits from the generality and flexibility intrinsic to the formal notation used in its specification.