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    Rethinking Paradigmatic Collaboration:A New Metric for Inter-paradigm Synergy in Software Engineering

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    This paper introduces two novel metrics for assessing collaboration potential between programming paradigms and languages, offering a fresh approach to evaluating inter-paradigm interactions. The quantitative framework introduced challenges traditional methods by highlighting both the opportunities and the challenges of integrating paradigms with varying characteristics. Initial findings suggest that the metric effectively captures collaboration within similar paradigms, with functional paradigms demonstrating particularly strong collaboration potential. However, it also underscores the complexity of unifying divergent paradigms. The goal of this paper is to provoke discussion and foster further research, such as the refinement of metrics to obtain useful measurements in technology selection steps and interdisciplinary software development.<br/

    FuzzE, Development of a Fuzzing Approach for Odoo’s Tours Integration Testing Plateform

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    For many years, Odoo, an open-source add-on-based platform offering an extensive range of functionalities, including Enterprise Resource Planning, has constantly expanded its scope, resulting in an increased complexity of its software. To cope with this evolution, Odoo has developed an integration testing system called tour execution, which executes predefined testing scenarios (i.e., tours) on the web user interface to test the integration between the front, back, and data layers. This paper reports our effort and experience in extending the tour system with fuzzing. Inspired by action research, we followed an iterative approach to devise FuzzE, a plugin for Odoo’s tour system to create new tours. FuzzE was eventually developed in three iterations. Our results show that mutational fuzzing is the most effective approach when integrating with an existing testing infrastructure. We also reported one issue to the Odoo issue tracker. Finally, we present lessons learned from our endeavor, including the necessity to consider testability aspects earlier when developing web-based systems to help the fuzzing effort, and the difficulty faced when performing triage and root cause analysis on failing tours

    Le "Muster roll" de décembre 1215:une exceptionnelle liste de chevaliers flamands et brabançons au service du roi Jean

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    Le "Muster roll" de décembre 1215:une exceptionnelle liste de chevaliers flamands et brabançons au service du roi Jean

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    ‘Why speak you this broken French when y’are a whole Englishman?’:French, Travelling, Self-Satire, and Cultural Mediation in London City Comedy

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    Given the widely multicultural and multilingual context of seventeenth-century London and the central role of French culture and language in Renaissance England, it comes as no surprise that a number of the highly topographical Jacobean city comedies contain French scenes. Drawing on Niayesh’s argument that French often served as a cultural and linguistic mediator between England and further, ‘exotic’ destinations in early modern drama (Niayesh 2008), this paper explores the links between French and travelling in two city comedies, Eastward Ho! and Anything for a Quiet Life. Exploring how and why staged French and Frenchmen are linked to the issue of England’s new, growing role as a colonising, global power and to the consequences of this role on London’s cosmopolitanism, it argues that French, often staged in the plays as spoken by Englishmen, is regularly used to criticize, comment on, or warn against superficial attitudes of Londoners toward ‘Others’. Linking the traditional analysis of city comedies as satirical plays criticizing English attitudes with scholarship on travel drama, it suggests that French in city comedies may be used as a means to make sense of an ever-evolving early modern English society which felt increasingly foreign or alienating. This paper thus follows McManus’s broad definition of the term ‘travel drama’, which is not restricted to plays staging trips in foreign countries represented as ‘exotic’ but also includes any play which is ‘in some way concerned with the motivations and consequences of travel’ (2018), and argues that the inclusion of plays set in London in this category is therefore contradictory solely in appearance

    Why should I trust you? Influence of explanation design on consumer behavior in AI-based services

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    PurposeThis study explores how the format of explanations used in artificial intelligence (AI)-based services affects consumer behavior, specifically the effects of explanation detail (low vs high) and consumer control (automatic vs on demand) on trust and acceptance. The aim is to provide service providers with insights into how to optimize the format of explanations to enhance consumer evaluations of AI-based services.Design/methodology/approachDrawing on the literature on explainable AI (XAI) and information overload theory, a conceptual model is developed. To empirically test the conceptual model, two between-subjects experiments were conducted wherein the level of detail and level of control were manipulated, taking AI-based recommendations as a use case. The data were analyzed via partial least squares (PLS) regressions.FindingsThe results reveal significant positive correlations between level of detail and perceived understanding and between level of detail and perceived assurance. The level of control negatively moderates the relationship between the level of detail and perceived understanding. Further analyses revealed that the perceived competence and perceived integrity of AI systems positively and significantly influence the acceptance and purchase intentions of AI-based services.Practical implicationsThis research offers service providers key insights into how tailored explanations and maintaining a balance between detail and control build consumer trust and enhance AI-based service outcomes.Originality/valueThis article elucidates the nuanced interplay between the level of detail and control over explanations for non-expert consumers in high-credence service sectors. The findings offer insights into the design of more consumer-centric explanations to increase the acceptance of AI-based services

    Evidence generation throughout paediatric medicines life cycle:findings from collaborative work between European Medicines Agency (EMA) and EUnetHTA on use of extrapolation

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    Drug development for children presents unique challenges and is highly regulated. Novel approaches, such as the use of extrapolation to address, for example, the need to avoid unethical studies, whilst supporting robust evidence generation have been developed in support of benefit/risk considerations by regulatory authorities. This is only one step in the decision-making process towards access, which in Europe also includes health technology assessment (HTA) bodies. Discussions related to evidentiary requirements in small populations using scientific evidence transfer have been identified as a priority action by European Medicines Agency/European Network for Health Technology Assessment 21 (EMA/EUnetHTA 21). We describe the outcome of this work and reflect on the discussions that had taken place on how to leverage prior knowledge through identifying and addressing uncertainties during life cycle management to support regulatory and HTA decision-making. Using examples, we explore the range of applications for evidence generation and offer regulatory and HTA insights on key design considerations for producing better evidence, reflecting our shared ambition. Early interactions with all respective stakeholders, particularly between regulators and HTA bodies are key to optimise data generation and utility in children. In Europe, the HTA regulation will offer opportunities for collaborations, which are important for all development efforts. We collaboratively explored the unique specific challenges relating to paediatric drug development, ethically and in its ability to leverage prior knowledge, as exemplified using extrapolation. Learnings from these offer opportunities to further develop methodology on how to leverage uncertainties across a product's life cycle for small populations generally.</p

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