In the paper, we present a measurement framework for evaluating quality in software products developed within the research and innovation framework project GÉANT. The proposed framework is based on the quality models by Boehm and McCall, but also addresses the presence and point of view of a third stakeholder: an external funding agency (EU), which has started and is temporally financing the project, but aims at making it self-financing in the future. We also provide results of evaluation of 2 projects from the GÉANT ecosystem and one open-source system with this framework. KEYWORDS quality models, software measurement, software process improvement, software quality

A landscape is part of our daily lives and our perception of its features may significantly impact our quality of life. This article presents the results of research aimed at determining the influence of biometeorological conditions on the way in which we perceive the landscape. An eye tracker was used throughout each season of the year to determine how 52 respondents observed the landscape while taking into consideration whether the landscape had a favorable or unfavorable impact on those same respondents. Additionally, each test was preceded by the completion of a questionnaire intended to assess the mental and physical state of each respondent. The calculated eye movement indexes demonstrated the impact of the biometeorological conditions on their perception of the landscape. Statistically significant differences in their perception of the landscape were ascertained depending on the type of weather and the respondents’ general feeling irrespective of their sex.

Subjective experience and physiological activity are fundamental components of emotion. There is an increasing interest in the link between experiential and physiological processes across different disciplines, e.g., psychology, economics, or computer science. However, the findings largely rely on sample sizes that have been modest at best (limiting the statistical power) and capture only some concurrent biosignals. We present a novel publicly available dataset of psychophysiological responses to positive and negative emotions that offers some improvement over other databases. This database involves recordings of 1157 cases from healthy individuals (895 individuals participated in a single session and 122 individuals in several sessions), collected across seven studies, a continuous record of self-reported affect along with several biosignals (electrocardiogram, impedance cardiogram, electrodermal activity, hemodynamic measures, e.g., blood pressure, respiration trace, and skin temperature). We experimentally elicited a wide range of positive and negative emotions, including amusement, anger, disgust, excitement, fear, gratitude, sadness, tenderness, and threat. Psychophysiology of positive and negative emotions (POPANE) database is a large and comprehensive psychophysiological dataset on elicited emotions.

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