From requirement to design patterns for ubiquitous computing applications

Abstract

Ubiquitous Computing describes a concept where computing appears around us at any time and any location. Respective systems rely on context-sensitivity and adaptability. This means that they constantly collect data of the user and his context to adapt its functionalities to certain situations. Hence, the development of Ubiquitous Computing systems is not only a technical issue and must be considered from a privacy, legal and usability perspective, too. This indicates a need for several experts from different disciplines to participate in the development process, mentioning requirements and evaluating design alternatives. In order to capture the knowledge of these interdisciplinary teams to make it reusable for similar problems, a pattern logic can be applied. In the early phase of a development project, requirement patterns are used to describe recurring requirements for similar problems, whereas in a more advanced development phase, design patterns are deployed to find a suitable design for recurring requirements. However, existing literature does not give sufficient insights on how both concepts are related and how the process of deriving design patterns from requirements (patterns) appears in practice. In our work, we give insights on how trust-related requirements for Ubiquitous Computing applications evolve to interdisciplinary design patterns. We elaborate on a six-step process using an example requirement pattern. With this contribution, we shed light on the relation of interdisciplinary requirement and design patterns and provide experienced practitioners and scholars regarding UC application development a way for systematic and effective pattern utilization. • Software and its engineering~Patterns • Software and its engineering~Design patterns • Software and its engineering~Requirements analysis • Software and its engineering~Software development methods • Human-centered computing~Ubiquitous and mobile computing • Human-centered computing~Ubiquitous and mobile computing theory, concepts and paradigms • Human-centered computing~Ubiquitous computing

Assessing the Reusability of Design Principles in the Realm of Conversational Agents

“…Nevertheless, it should not be neglected that, in addition to DPs, other forms of presentation can be used to record design knowledge. Thus, design knowledge can also appear in patterns or requirements (e.g., [28]). Nevertheless, within the DSR community, it is widely shared that DPs are seen as the right way to formalize DSR efforts and abstract the research findings to allow knowledge accumulation within the community [29].…”

A revisited systematic literature mapping on the support of requirement patterns for the software development life cycle

“…We describe the process of data extraction of the 10 studies remaining in Section 3. These studies are identified throughout this paper as S1 to S10 as follows: S1 -Adaptive requirement-driven architecture for integrated healthcare systems (Yang et al, 2010) S2 -Analysing security requirements patterns based on problems decomposition and composition (Wen et al, 2011) S3 -An architectural framework of the integrated transportation information service system (Chang and Gan, 2009) S4 -Application of ontologies in identifying requirements patterns in use cases (Couto et al, 2014) S5 -Effective security impact analysis with patterns for software enhancement (Okubo et al, 2011) S6 -From requirement to design patterns for ubiquitous computing applications (Knote et al, 2016) S7 -Modeling design patterns with description logics: A case study (Asnar et al, 2011) S8 -Mutation patterns for temporal requirements of reactive systems (Trakhtenbrot, 2017) S9 -SACS: A pattern language for Safe Adaptive Control Software (Hauge and Stølen, 2011) S10 -Re-engineering legacy Web applications into RIAs by aligning modernization requirements, patterns and RIA features (Conejero et al, 2013) . A detailed view of the conduction phase: automatic search, duplicate study exclusion, study selection, data extraction, snowballing, and data synthesis.…”