| 1. |
- Kaiser, M., et al.
(author)
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VEDLIoT: Very Efficient Deep Learning in IoT
- 2022
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In: Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022. - : IEEE. - 9783981926361
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Conference paper (peer-reviewed)abstract
- The VEDLIoT project targets the development of energy-efficient Deep Learning for distributed AIoT applications. A holistic approach is used to optimize algorithms while also dealing with safety and security challenges. The approach is based on a modular and scalable cognitive IoT hardware platform. Using modular microserver technology enables the user to configure the hardware to satisfy a wide range of applications. VEDLIoT offers a complete design flow for Next-Generation IoT devices required for collaboratively solving complex Deep Learning applications across distributed systems. The methods are tested on various use-cases ranging from Smart Home to Automotive and Industrial IoT appliances. VEDLIoT is an H2020 EU project which started in November 2020. It is currently in an intermediate stage with the first results available.
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| 2. |
- Kuhrmann, Marco, et al.
(author)
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What Makes Agile Software Development Agile
- 2022
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In: IEEE Transactions on Software Engineering. - 0098-5589 .- 1939-3520. ; 48:9, s. 3523-3539
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Journal article (peer-reviewed)abstract
- Together with many success stories, promises such as the increase in production speed and the improvement in stakeholders' collaboration have contributed to making agile a transformation in the software industry in which many companies want to take part. However, driven either by a natural and expected evolution or by contextual factors that challenge the adoption of agile methods as prescribed by their creator(s), software processes in practice mutate into hybrids over time. Are these still agile In this article, we investigate the question: what makes a software development method agile We present an empirical study grounded in a large-scale international survey that aims to identify software development methods and practices that improve or tame agility. Based on 556 data points, we analyze the perceived degree of agility in the implementation of standard project disciplines and its relation to used development methods and practices. Our findings suggest that only a small number of participants operate their projects in a purely traditional or agile manner (under 15%). That said, most project disciplines and most practices show a clear trend towards increasing degrees of agility. Compared to the methods used to develop software, the selection of practices has a stronger effect on the degree of agility of a given discipline. Finally, there are no methods or practices that explicitly guarantee or prevent agility. We conclude that agility cannot be defined solely at the process level. Additional factors need to be taken into account when trying to implement or improve agility in a software company. Finally, we discuss the field of software process-related research in the light of our findings and present a roadmap for future research.
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| 3. |
- Viggiano, D, et al.
(author)
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Mild cognitive impairment and kidney disease: clinical aspects
- 2020
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In: Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association. - : Oxford University Press (OUP). - 1460-2385. ; 35:1, s. 10-17
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Journal article (peer-reviewed)
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| 4. |
- Kasauli, Rashida, 1984, et al.
(author)
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Adding value every sprint: A case study on large-scale continuous requirements engineering
- 2017
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In: CEUR Workshop Proceedings. - 1613-0073. ; 1796
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Conference paper (peer-reviewed)abstract
- Agile development practices, such as continuous integration and continuous delivery, promise value through shorter time to market and increased exibility. While these practices have been widely adopted in small-scale, they have shown to be challenging to adopt in large-scale, system development. This is often due to a distance between customer and developer in large scale systems, and the need to break down value from the whole system into manageable parts. The notion of value is fundamental for agile methods, especially for practices such as continuous delivery to the customer. However, how value should be handled in development practices is not clearly understood. In this paper, we investigate how the notion of adding value in every sprint has been perceived in a large-scale system development. Based on an exploratory qualitative case study, the outcome shows that it is perceived beneficial by practitioners although it comes at a price and challenges exist.
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| 5. |
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| 6. |
- Rodrigues, Gabriel S., et al.
(author)
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GoalD: A Goal-Driven Deployment Framework for Dynamic and Heterogeneous Computing Environments
- 2019
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In: Information and Software Technology. - : Elsevier BV. - 0950-5849. ; 111, s. 159-176
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Journal article (peer-reviewed)abstract
- Context Emerging paradigms like Internet of Things and Smart Cities utilize advanced sensing and communication infrastructures, where heterogeneity is an inherited feature. Applications targeting such environments require adaptability and context-sensitivity to uncertain availability and failures in resources and their ad-hoc networks. Such heterogeneity is often hard to predict, making the deployment process a challenging task. Objective This paper proposes GoalD as a goal-driven framework to support autonomous deployment of heterogeneous computational resources to fulfill requirements, seen as goals, and their correlated components on one hand, and the variability space of the hosting computing and sensing environment on the other hand. Method GoalD comprises an offline and an online stage to fulfill autonomous deployment by leveraging the use of goals. Deployment configuration strategies arise from the variability structure of the Contextual Goal Model as an underlying structure to guide autonomous planning by selecting available as well as suitable resources at runtime. Results We evaluate GoalD on an existing exemplar from the self-adaptive systems community – the Tele Assistance Service provided by Weyns and Calinescu [1]. Furthermore, we evaluate the scalability of GoalD on a repository consisting of 430,500 artifacts. The evaluation results demonstrate the usefulness and scalability of GoalD in planning the deployment of a system with thousands of components in a few milliseconds. Conclusion GoalD is a framework to systematically tackle autonomous deployment in highly heterogeneous computing environments, partially unknown at design-time following a goal-oriented approach to achieve the user goals in a target environment. GoalD has demonstrated itself able to scale for deployment planning dealing with thousands of components in a few milliseconds.
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