Mobile Service Support based on Smart Glasses

Emerging technologies, such as smart glasses, offer new possibilities to support service processes. Specifically, in situations where a person providing a service, such as a technician, needs both hands to complete a complex set of tasks, hands-free speech-controlled information systems can offer support with additional information. We investigated this research field in a three-year consortium with partners from the agricultural technology sector. During the course of our research, we 1) analyzed the domain in a multi-method approach to develop (meta-)requirements, 2) proposed design principles, 3) instantiated them in a prototype, and 4) evaluated the prototype. We followed a design science research approach in which we combined the build phase with four evaluation cycles that comprised focus groups, a prototype demonstration, and, based on that demonstration, a survey with 105 domain experts. We address real-world problems in providing information at the point of service and contribute to the methodological knowledge base of IS design and service systems engineering by developing and implementing design requirements and principles for smart glasses-based service support systems

Designing Digital Work

Combining theory, methodology and tools, this open access book illustrates how to guide innovation in today’s digitized business environment. Highlighting the importance of human knowledge and experience in implementing business processes, the authors take a conceptual perspective to explore the challenges and issues currently facing organizations. Subsequent chapters put these concepts into practice, discussing instruments that can be used to support the articulation and alignment of knowledge within work processes. A timely and comprehensive set of tools and case studies, this book is essential reading for those researching innovation and digitization, organization and business strategy

Understanding and supporting large-scale requirements management

Large market-driven software companies face new challenges in requirements engineering and management that emerged due to their recent extensive growth. At the same time, the pressure generated by competitors’ and users’ expectations demands being more competitive, creative and flexible to more quickly respond to a rapidly changing market situation. In the pursuit of staying competitive in this context, new ideas on how to improve the current software engineering practice are requested to help maintaining the engineering efficiency while coping with growing size and complexity of requirements engineering processes and their products. This thesis focuses on understanding and supporting large-scale requirements management for developing software products to open markets. In particular, this thesis focuses on the following requirements management activities in the mentioned context, namely: scope management, variability management and requirements consolidation. The goals of the research effort in this thesis are to provide effective methods in supporting mentioned requirements management activities in a situation when the size of them and their complexity require large time and skills efforts. Based on empirical research, where both quantitative and qualitative approaches were utilized, this thesis reports on possible improvements for managing variability and presents visualization techniques to assist scope management for large-scale software product development contexts. Both reported ideas are empirically evaluated in case studies in a large-scale context. Additionally, the benefits of using linguistic methods for requirements consolidation are investigated in a replicated experimental study based on a relevant industry scenario

Maps of Lessons Learnt in Requirements Engineering

Both researchers and practitioners have emphasized the importance of learning from past experiences and its consequential impact on project time, cost, and quality. However, from the survey we conducted of requirements engineering (RE) practitioners, over 70\% of the respondents stated that they seldom use RE lessons in the RE process, though 85\% of these would use such lessons if readily available. Our observation, however, is that RE lessons are scattered, mainly implicitly, in the literature and practice, which obviously, does not help the situation. We, therefore, present ``maps” of RE lessons which would highlight weak (dark) and strong (bright) areas of RE (and hence RE theories). Such maps would thus be: (a) a driver for research to ``light up” the darker areas of RE and (b) a guide for practice to benefit from the brighter areas. To achieve this goal, we populated the maps with over 200 RE lessons elicited from literature and practice using a systematic literature review and survey. The results show that approximately 80\% of the elicited lessons are implicit and that approximately 70\% of the lessons deal with the elicitation, analysis, and specification RE phases only. The RE Lesson Maps, elicited lessons, and the results from populating the maps provide novel scientific groundings for lessons learnt in RE as this topic has not yet been systematically studied in the field