The pursuit of innovation in the mobile software industry frequently requires coming up with new features -and not just any feature, but startling and unexpected delightful features. Despite the potential of context awareness to provide a system with delightfulness, current requirements elicitation techniques do not cope with an essential aspect: comprehension of the relationships among the numerous contextual elements of a certain domain and how they can positively influence the user task. As a result, solution providers continuously miss the opportunity to add more value to their software solutions by identifying context-aware behaviors that will lead to better recommendations or adaptations. This paper discusses this problem and proposes a process for tackling it by taking the task to be improved as input and semi-automatically generating (1) a conceptual context model that reveals and represents both the relevance of contextual elements and the relationships among them, and (2) candidate requirements. The expected scientific contributions of the ongoing research are delineated as well.
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Agriculture is one of the major sectors of the global economy and also a software-intensive domain. The digital landscape of agriculture is composed of multiple digital ecosystems, which together constitute an agricultural domain ecosystem, also referred to as the “Agricultural Data Space’’ (ADS). As the domain is so huge, there are several sub-domains and specialized solutions, and each of them poses challenges to interoperability. Additionally, farmers have increasing concerns about data sovereignty. In the context of the research project COGNAC, we elicited architecture drivers for interoperability and data sovereignty in agriculture and designed a reference architecture of a platform that aims to address these qualities in the ADS. In this paper, we present the solution concepts and design decisions that characterize the reference architecture. Early prototypes have been developed and made available to support the validation of the concept.
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