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Pekka Abrahamsson

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#computer vision Review Feb 2015

The Contemporary Understanding of User Experience in Practice

User Experience (UX) has been a buzzword in agile literature in recent years. However, often UX remains as a vague concept and it may be hard to understand the very nature of it in the context of agile software development. This paper explores the multifaceted UX literature, emphasizes the multi-dimensional nature of the concept and organizes the current state-of-the-art knowledge. As a starting point to better understand the contemporary meaning of UX assigned by practitioners, we selected four UX blogs and performed an analysis using a framework derived from the literature review. The preliminary results show that the practitioners more often focus on interaction between product and user and view UX from design perspective predominantly. While the economical perspective receives little attention in literature, it is evident in practitioners writings. Our study opens up a promising line of request of the contemporary meaning of UX in practice.

Stefan Hellweger, Xiaofeng Wang, P. Abrahamsson · 5 citations
#computer vision May 2016

Bringing the Cloud to Rural and Remote Areas - Cloudlet by Cloudlet

Instead of relying on huge and expensive data centers for rolling out cloudbased services to rural and remote areas, we propose a hardware platform based on small single-board computers. The role of these micro-data centers is twofold. On the one hand, they act as intermediaries between cloud services and clients, improving availability in the case of network or power outages. On the other hand, they run community-based services on local infrastructure. We illustrate how to build such a system without incurring high costs, high power consumption, or single points of failure. Additionally, we opt for a system that is extendable and scalable as well as easy to deploy, relying on an open design.

P. Abrahamsson, S. Helmer, Tosin Daniel Oyetoyan et al. · 2 citations
#machine learning May 2016

What leads developers towards the choice of a JavaScript framework?

Context: The increasing popularity of JavaScript (JS) has lead to a variety of frameworks that aim to help developers to address programming tasks. However, the number of JS Frameworks (JSF) has risen rapidly to thousands and more. It is difficult for practitioners to identify the frameworks that best fit to their needs and to develop new frameworks that fit such needs. Existing research has focused in proposing software metrics for the frameworks, which do not carry a high value to practitioners. While benchmarks, technical reports, and experts' opinions are available, they suffer the same issue that they do not carry much value. In particular, there is a lack of knowledge regarding the processes and reasons that drive developers towards the choice. Objective: This paper explores the human aspects of software development behind the decision-making process that leads to a choice of a JSF. Method: We conducted a qualitative interpretive study, following the grounded theory data analysis methodology. We interviewed 18 participants who are decision makers in their companies or entrepreneurs, or are able to motivate the JSF decision-making process. Results: We offer a model of factors that are desirable to be found in a JSF and a representation of the decision makers involved in the frameworks selection. The factors are usability (attractiveness, learnability, understandability), cost, efficiency (performance, size), and functionality (automatisation, extensibility, flexibility, isolation, modularity, suitability, updated). These factors are evaluated by a combination of four possible decision makers, which are customer, developer, team, and team leader. Conclusion: Our model contributes to the body of knowledge related to the decision-making process when selecting a JSF. As a practical implication, we believe that our model is useful for (1) Web developers and (2) JSF developers.

Amantia Pano, D. Graziotin, P. Abrahamsson · 7 citations · ⚡1