Global software development (GSD) holds various challenges and problems for team members. When confronted with a contextual change in their working environment, individuals have to adapt to the new situation. This includes the adaptation of working styles, behaviors, and methods. Additionally, new challenges, especially those based on the virtual work and cultural background of team members, have to be addressed. By conducting explorative expert interviews, we identified challenges and potential solutions for individuals when encountering contextual change with a focus on competences. We identified that the lack of competences was seen as a major influence factor for a variety of common challenges to GSD. The identification of underlying factors of challenges could allow for focused development of interventions to overcome these challenges. Furthermore, we identified factors influencing the adaptation of competences to the given context and provided insight into the process of competences adaptation. This is the basis for the future development of a set of internationalized GSD competences.

Group testing, the testing paradigm which combines multiple samples within a single test, was introduced in 1943 by Robert Dorfman. Since its original proposal for syphilis screening, group testing has been applied in domains such as fault identification in electrical and computer networks, machine learning, data mining, and cryptography. TheSARS-CoV-2 pandemic has led to proposals for using group testing in its original context of identifying infected individuals in a population with few tests. Studies suggest that non-adaptive group testing - in which all the tests are determined in advance - for SARS-CoV-2could help save 20% to 90% of tests depending on the prevalence. However, no systematic approach for comparing different non-adaptive group testing strategies currently exists. In this paper we develop a software platform for evaluating non-adaptive group testing strategies in both a noiseless setting and in the presence of realistic noise sources, modelled on published experimental observations, which makes them applicable to polymerase chain reaction (PCR) tests, the dominant type of tests for SARS-CoV-2. This modular platform can be used with a variety of group testing designs and decoding algorithms. We use it to evaluate the performance of near-doubly-regular designs and a decoding algorithm based on an integer linear programming formulation, both of which are known to be optimal in some regimes. We find savings between 40% and 91% of tests for prevalences up to 10% when a small error (below 5%) is allowed. We also find that the performance degrades gracefully with noise. We expect our modular, user-friendly, publicly available platform to facilitate empirical research into non-adaptive group testing for SARS-CoV-2.

It is proved that if a left brace [Formula: see text] has the operation ∗ associative, then [Formula: see text] is a two-sided brace. Consequently, [Formula: see text] is a Jacobson radical ring. This answers a question of Cedó, Gateva-Ivanova and Smoktunowicz.

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