Abstract
Understanding the factors that affect the productivity of software developers and may cause productivity variations among individuals and projects is important for anyone interested in improving software engineering performance and estimates, and in particular for users of high-maturity processes, such as the Personal Software Process (PSP) and the Team Software Process (TSP). In order to contribute to the understanding of the personal and non-personal factors that affect productivity, we analyzed the data from more than 3000 developers that concluded successfully the 10 projects of the PSP for Engineers I/II training course. Regarding non-personal factors, by conducting a detailed per-phase analysis, we found significant variations of productivity among projects that can be partially explained by process changes. Regarding personal factors, we found significant variations among individuals that can be partially explained by personal experience.

Abstract
This paper presents an approach for testing mobile applications using reverse engineering and behavioural patterns. The goal of this research work is to ease the testing of mobile applications by automatically identifying and testing behaviour that is common in this type of applications, i.e., behaviour patterns. The approach includes a tool to automatically explore an Android application. This tool also identifies patterns in the behaviour of the application and apply tests previously associated with those patterns. The final results of this research work will be a catalogue of behavioural patterns and the tool which will output a report on the matched patterns and another one on the testing of those patterns.

Abstract
This paper presents a dynamic reverse engineering approach to extract User Interface (UI) Patterns from existent Web Applications. Firstly, information related to user interaction is saved, in particular: user actions and parameters; the HTML source pages; and the URLs. Secondly, the collected information is analysed in order to calculate several metrics (e.g., the differences between subsequent HTML pages). Thirdly, the existent UI Patterns are inferred from the overall information calculated based on a set of heuristic rules. The overall reverse engineering approach is evaluated with some experiments over several public Web Applications.

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 AAL components (products and services), tied together by an integration infrastructure, comprising a message-queue based service bus and gateways bridging the communication with devices. To that end, the project encompasses the specification of interfaces and requirements for interoperable components, against which candidates can be tested and certified before entering the ecosystem. This paper proposes a testing and certification methodology for such an ecosystem. Besides fulfilling specified pre-requisites, candidate components must pass unit tests that check their conformance with interface specifications and integration tests that check their semantic interoperability with other components in specified orchestration scenarios. Copyright © 2014, IGI Global.

Abstract
In previous work we proposed a performance analysis model for automatically identifying potential root causes of performance problems in personal software development. In this paper we present an approach for automatically ranking those potential root causes based on a cost-benefit estimate that takes into account historical data. The approach was applied for the Personal Software Process, taking advantage of a large data set referring to more than 30,000 projects, but can be replicated in other contexts.

Abstract