Abstract

Abstract
Code inspection is an important activity to identify defects in the source code and improve software quality. However, even when using techniques such as checklists, inspectors consider implicit decision-making knowledge. In this paper, we perform an exploratory study with groups of inspectors (Group1 and Group2) with two objectives: 1) to present findings on how (and if) auxiliary artifacts interfere in decision making during the code inspection activity, and 2) to show whether there is any influence on the number of defects identified by inspectors when using or not auxiliary artifacts. Both groups used the computational code inspection support of the CRISTA tool, but only Group1 used auxiliary artifacts (requirements, UML diagrams, software metrics). We identified 10 findings. All of them are related to the inspectors’ decision making and the influence of using artifacts on defects identification. The findings suggested that when inspectors use auxiliary artifacts, their effectiveness in identifying defects is improved. Besides, their decision making is more homogeneous than that of inspectors who do not use auxiliary artifacts. However, more investigations are necessary to make the results more generalizable. As future work, different strategies for code inspection techniques can be defined based on the findings.

Abstract
The rise of online social networks has reshaped the way information is published and spread. Users can now post in an effortless way and in any location, making this medium ideal for searching breaking news and journalistic relevant content. However, due to the overwhelming number of posts published every second, such content is hard to trace. Thus, it is important to develop methods able to detect and analyze whether a certain text contains journalistic relevant information. Furthermore, it is also important that this detection system can provide additional information towards a better comprehension of the prediction made. In this work, we overview our system, based on an ensemble classifier that is able to predict if a certain post is relevant from a journalistic perspective which outperforms the previous relevant systems in their original datasets. In addition, we describe REMINDS: a web platform built on top of our relevance system that is able to provide users with the visualization of the system's features as well as additional information on the text, ultimately leading to a better comprehension of the system's prediction capabilities. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the CENTERIS -International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies.

Abstract
We explore the task of computational beat tracking for musical audio signals from the perspective of putting an end-user directly in the processing loop. Unlike existing “semi-automatic” approaches for beat tracking, where users may select from among several possible outputs to determine the one that best suits their aims, in our approach we examine how high-level user input could guide the manner in which the analysis is performed. More specifically, we focus on the perceptual difficulty of tapping the beat, which has previously been associated with the musical properties of expressive timing and slow tempo. Since musical examples with these properties have been shown to be poorly addressed even by state of the art approaches to beat tracking, we re-parameterise an existing deep learning based approach to enable it to more reliably track highly expressive music. In a small-scale listening experiment we highlight two principal trends: i) that users are able to consistently disambiguate musical examples which are easy to tap to and those which are not; and in turn ii) that users preferred the beat tracking output of an expressive-parameterised system to the default parameterisation for highly expressive musical excerpts.

Abstract
The present study focuses on the estimation of the human capital stock for the Cape Verdean economy in the period 1950-2012. Adapting the methodology proposed by Barro and Lee, based on past schooling values, we found that between 1950 and 2012 the Cape Verdean working-age population showed a gradual improvement in the levels of schooling, rising from 0.7 years of schooling in the 1950s to 5.4 in late 2012. Thus, in each year, the average years of schooling increased only 0.08 years, meaning that, in net terms and on average, only 7.6 per cent of the working-age population was attending some level of formal education. The availability of a time series of number of average schooling years in Cape Verde opens up possibilities for assessing the impact of human capital on the country's economic development.

Abstract
There are several types of measurements that can be performed with biological tissues during optical clearing treatments. When analyzing these methods, two major modes of study must be provided: ex vivo and in vivo. Measurements made from ex vivo samples are more flexible, allowing, for instance, to measure tissue transmittance or sample thickness kinetics. The results obtained from these measurements do not mimic exactly the in vivo situation. In the case of in vivo tissues, results from measurements are more realistic, but a more restrict number is possible, based only on reflectance or imaging methods. In this chapter, we make a brief description and analysis of the various measurement procedures that can be made during treatments of tissues ex vivo and in vivo and present some studies where important information was collected. The valuable results already obtained or possible to obtain in future from measurements described here will be presented and explained in the following sections. A particular case with great interest not only for biophotonics but also for food industry or organ preservation is the estimation of the diffusion properties of water and agents. Such evaluation of parameters is based only on collimated transmittance and thickness measurements made from ex vivo tissues. We will describe these measurements here and exploit their use in the study of diffusion in Chap. 7.