We present an adaptive framework to assist users in making more value-sensitive decisions during their (runtime) use of software. The framework enables users to (i) represent, instantiate, and monitor their values and behaviour; (ii) understand mismatches between stated values and their observed behaviour; and (iii) recommend ways to align users' values and behaviour. We built a values shopping basket tool to illustrate and demonstrate the adaptive framework in the food consumption domain, a sector that is rich in values and regularly undergoes reflection and debate.

Supply chain fraud involving counterfeit or adulterated products presents threats to human health and safety. Quality Inspection is a key fraud mitigation tool where inspection planning involves allocating inspection resources across geographically dispersed assets considering both the cost and value of the inspection. I4.0 environments pose further challenges as their heterogeneous and dynamic cyber-physical environment creates a large inspection resource allocation solution space, causing the corresponding analysis to be computationally complex. In this paper, we contribute to supporting optimal inspection decisions of dynamic cyber-physical supply chains through the use of structural representationstopologies of the supply chain, physical premises, and their production context. We present an approach for topology modelling of supply chains, and illustrate its use within an adaptive inspection approach, showing that structural information can reduce malicious process discovery times by up to 90%.

The effective functioning of society is increasingly reliant on supply chains which are susceptible to fraud, such as the distribution of adulterated products. Inspection is a key tool for mitigating fraud, however it has traditionally been constrained by physical characteristics of supply chains such as their size and geographical distribution. The increasingly cyber-physical nature of supply chains, their autonomy, and their data richness, extends their attack surfaces and thus increases opportunities for fraud. However, it also presents new opportunities for increased and dynamic inspection, which in turn requires more targeted and flexible inspection regimes. In this paper we explore opportunities to engineer adaptive inspection of cyber-physical supply chains to support efforts to reduce fraud. Through using structural representations of supply chains (topological models) we propose defining optimal inspection zones. Such zones circumscribe assets of interest to optimise observation while reducing the intrusiveness of inspection. Using a motivating example of adulterated pharmaceuticals and a proof-of-concept tool we illustrate adaptive inspection, and surface challenges to its realisation, such as value metrics, forensic readiness integration and managing contrasting local and global perspectives.

Context and motivation: Organisational values such as inclusion are often explicit, providing a common language to guide behaviour and motivate employees. Personal values are often less explicit but do guide individuals' decisions, and when challenged they generate an emotional response. However, understanding organisational values and linking them to implicit personal values of employees can be challenging. Question/problem: In this paper, we investigate the use of emotional goal models to act as a link between organisational and personal values. Principal ideas/result: We argue that when designing processes and systems for enacting organisational values, requirements engineers must consider the diverse personal values of the employees. We completed a case study within a multi-national organisation and identified pain points on career journeys which amplify the disparity of experience between men and women. We applied emotional goal modelling to elicit requirements for inclusive processes. We suggest that emotional goals can serve as a proxy for personal values and can support the formulation of requirements for designing processes cognizant of the organisational value of inclusion. Contribution: Our empirical evaluation suggests that the modelling of emotional goals can support the operationalisation of values as requirements for gender-inclusive organisational processes and systems.