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A Framework To Measure The Robustness Of Programs In The Unpredictable Environment
(2023) Castiglioni, Valentina; Loreti, Michele; Tini, Simone; Department of Computer Science
Due to the diffusion of IoT, modern software systems are often thought to control and coordinate smart devices in order to manage assets and resources, and to guarantee efficient behaviours. For this class of systems, which interact extensively with humans and with their environment, it is thus crucial to guarantee their “correct” behavior in order to avoid unexpected and possibly dangerous situations. In this paper we will present a framework that allows us to measure the robustness of systems. This is the ability of a program to tolerate changes in the environmental conditions and preserving the original behaviour. In the proposed framework, the interaction of a program with its environment is represented as a sequence of random variables describing how both evolve in time. For this reason, the considered measures will be defined among probability distributions of observed data. The proposed framework will be then used to define the notions of adaptability and reliability. The former indicates the ability of a program to absorb perturbation on environmental conditions after a given amount of time. The latter expresses the ability of a program to maintain its intended behaviour (up-to some reasonable tolerance) despite the presence of perturbations in the environment. Moreover, an algorithm, based on statistical inference, is proposed to evaluate the proposed metric and the aforementioned properties. We use two case studies to the describe and evaluate the proposed approach.
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Women’s modern pentathlon scoring systems and predictive modelling for decision support
(2022) Im, Seol Hye; O'Donoghue, Peter G.; Department of Sport Science
Verk
Comparing Thirty30 Tennis with Traditional Tennis
(2020) O'Donoghue, Peter G.; Milne, Mark; Department of Sport Science
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Strategic target setting in the heptathlon
(2020) Dinnie, Alf; O'Donoghue, Peter G.; Department of Sport Science
Verk
Effects of playing position, pitch location, opposition ability and team ability on the technical performance of elite soccer players in different score line states
(2019-02) Redwood-Brown, Athalie J.; O'Donoghue, Peter G.; Nevill, Alan M.; Saward, Chris; Sunderland, Caroline; Department of Sport Science
The purpose of this study was to investigate the effects of playing position, pitch location, team ability and opposition ability on technical performance variables (pass, cross, corner, free kick accuracy) of English Premier League Soccer players in difference score line states. A validated automatic tracking system (Venatrack) was used to code player actions in real time for passing accuracy, cross accuracy, corner accuracy and free kick accuracy. In total 376 of the 380 games played during the 2011-12 English premier League season were recorded, resulting in activity profiles of 570 players and over 35'000 rows of data. These data were analysed using multi-level modelling. Multi-level regression revealed a "u" shaped association between passing accuracy and goal difference (GD) with greater accuracy occurring at extremes of GD e.g., when the score was either positive or negative. The same pattern was seen for corner accuracy away from home e.g., corner accuracy was lowest when the score was close with the lowest accuracy at extremes of GD. Although free kicks were not associated with GD, team ability, playing position and pitch location were found to predict accuracy. No temporal variables were found to predict cross accuracy. A number of score line effects were present across the temporal factors which should be considered by coaches and managers when preparing and selecting teams in order to maximise performance. The current study highlighted the need for more sensitive score line definitions in which to consider score line effects.

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