Abstract
This paper presents an approach to infer UI patterns existent in a web application. This reverse engineering process is performed in two steps. First, execution traces are collected from user interactions using the Selenium software. Second, the existing UI patterns within those traces are identified using Machine Learning inference with the Aleph ILP system. The paper describes and illustrates the proposed methodology on a case study over the Amazon web site.

Abstract
To cope with the needs raised by the demographic changes in our society, several Ambient-Assisted Living (AAL) technologies have emerged in recent years, but those 'first offers' are often monolithic, incompatible and thus expensive and potentially not sustainable. The AAL4ALL project aims at improving that situation through the development of an open ecosystem of interoperable products and services for AAL, tied together via an integration infrastructure. To that end, the project encompasses the specification of a set of reference models and requirements for interoperable products and services, against which candidate products and services can be tested and certified, and subsequently integrated as components of the ecosystem. This paper proposes a testing and certification methodology for such an ecosystem. © 2013 IEEE.

Abstract

Abstract
Novel techniques and a toolset are presented for automatically testing the conformance of software implementations against partial behavioral models constituted by a set of parameterized UML sequence diagrams (SDs), describing both external and internal interactions. Test code is automatically generated from the SDs and executed on the Java implementation under test, and test results and coverage information are presented back visually in the model. A runtime test library handles internal interaction checking, test stubs, and user interaction testing. Incremental conformance checking is achieved by first translating SDs to non-deterministic acceptance automata with parallelism. © IFIP International Federation for Information Processing 2013.

Abstract
In object oriented languages the problem of crosscutting concerns, due to limitations in the composition mechanisms, is recurrent. In order to reduce this problem we propose to use roles as a way of composing classes that extends the Object Oriented approach and can be used to model crosscutting concerns. To support our approach we developed a role language that extends Java, while being compatible with existing virtual machines. As validation we conducted a case study using three open source systems. We identified crosscutting concerns in the systems and then modeled them using our role approach. Results show that roles are a viable option for modeling crosscutting concerns. Copyright © 2013 ACM.

Abstract
A single decomposition strategy cannot capture all aspects of a concept, so we need to extend Object Oriented Decomposition (today most used strategy). We propose roles as a way to compose classes that provides a modular way of capturing and reusing those concerns that fall outside a concept's main purpose, while being a natural extension of the OO paradigm. Roles have been used successfully to model the different views a concept provides and we want to bring that experience to the programming level. We discuss how to make roles modular and reusable. We also show how to compose classes with roles using JavaStage, our role supporting language. To validate our approach we developed generic and reusable roles for the Gang of Four patterns. We developed reusable roles for 10 out of 23 patterns. We also were able to use some of these roles in JHotDraw framework.