Abstract
The requirements of a website are constantly changing and evolving. In this context, managing the changes related to the baseline and reviewing the requirements' prioritization is critical. Nowadays, web analytics tools are used to analyze the behaviour of users on a website in order to improve its usability and user experience. The analysis of the usage of websites may also help software requirements maintenance which can be a contribution to the overall quality of the service provided. This paper presents an approach through a recommender system that collects the information about the usage of a website using a web analytics tools and generate recommendations reports that may help the requirements maintenance and increase the quality of the software requirements specification of the website. This paper presents also an experimental evaluation of a case study based on an online newspaper website. The results of the proposed approach provide more readable reports in a language more closer to the business and suggest requirements priority change, identify new requirements and functionalities that may be removed.

Abstract
The use of the World Wide Web has had a huge growth and there is a greater variety of web applications with an increasing importance in society and in supporting the development to all kinds of business. Often, most of websites are providing support services that must be maintained and improved over time. This maintenance and upgrade can be difficult because frequently the requirements are no longer actual and/or often not even exist documented. Websites are increasingly monitoring usage data, and this type of information is increasingly abundant. Analyzing the usage of the websites can help identify improvements and help to maintain the website and its software requirements. This paper presents REQAnalytics, a recommender system that collects the information about the usage of a website, processes it and generates recommendations to the requirements specification of the website. This research work also presents an experimental evaluation of a case study based on an online newspaper website. The results showed that REQAnalytics can produce reports in a language closer to the business, identify most and less used finictionalities, requirements that can be split in two or more requirements and give support to the maintenance of requirements of the website being analyzed. (C) 2016 The Authors. Published by Elsevier B.V.

Abstract
In the context of SaaS, where the change requests can be frequent, there is the need for a systematic requirements management process so as to maintain requirements updated and ease the management of changes required to improve the service to provide. Changes to perform need to be prioritized and their impact on the system should be assessed. The extraction and analysis of the use of the servicesprovided through the web and their relationship to the requirements can help identify improvements and help keep the service useful for longer period of time. This paper presents REQAnalytics, a recommender system that collects information on the usage of a web service, relates that information back to the requirements, and generates reports with recommendations and change suggestions that can increase the quality of that service. The proposed approach aims to provide reports of the analysis made in a language closer to the business where, for example, it indicates new workflows and navigation paths, identifies the features that can be removed and presents the relationship between requirements andthe proposed changes helping to maintain the software requirements specification updated and useful. © 2016 SERSC.

Abstract

Abstract
The iMPAcT tool combines the benefits of existing user recurring behaviour (User Interface Patterns) on mobile applications to facilitate the test automation of Android mobile applications. It uses an automatic exploration process combined with reverse engineering to identify the existing user interface patterns on a mobile application and then tests those patterns with generic test strategies (designated Test Patterns). The Test Patterns are defined in a catalogue that can be reused for testing other applications. However the results obtained by the iMPAcT tool depend on the exploration mode and on the order in which the test strategies are applied. This paper describes an experiment conducted to evaluate the impact of using different exploration modes and of changing the order by which UI patterns are searched and subsequently tested on the failures found and on the number of events fired. (C) 2016 The Authors. Published by Elsevier B.V.

Abstract
In this paper we describe the participation of InfoLab in the patient-centred information retrieval task of the CLEF eHealth 2016 lab. We analyse the performance of several query expansion strategies using difierent sources of terms and difierent methods to select the terms to be added to the original query. One of the strategies uses pseudo relevance feedback for term selection. The other strategies use external sources such as Wikipedia articles and definitions from the UMLS Metathesaurus for term selection. In the end, readability metrics such as SMOG, FOG and Flesch-Kincaid were used to re-rank the documents retrieved using the expanded queries. As the relevance and readability assessments are not available we can't make any conclusion regarding the results of our approaches.