Abstract

Abstract

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.