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  • 301.
    Jacobsson, Andreas
    et al.
    Malmö högskola, Fakulteten för teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP).
    Davidsson, Paul
    Malmö högskola, Fakulteten för teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP).
    Towards a Model of Privacy and Security for Smart Homes2015Ingår i: Proceedings: 2015 IEEE 2nd World Forum on Internet of Things (WF-loT), IEEE, 2015, s. 727-732Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    The domain of smart home environments is viewed as a key element of the future Internet, and many homes are becoming “smarter” by using Internet of Things (IoT) technology to improve home security, energy efficiency and comfort. At the same time, enforcing privacy in IoT environments has been identified as one of the main barriers for realizing the vision of the smart home. Based on the results of a risk analysis of a smart home automation system developed in collaboration with leading industrial actors, we outline the first steps towards a general model of privacy and security for smart homes. As such, it is envisioned as support for enforcing system security and enhancing user privacy, and it can thus help to further realize the potential in smart home environments.

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  • 302.
    Fabijan, Aleksander
    et al.
    Malmö högskola, Fakulteten för teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP).
    Olsson Holmström, Helena
    Malmö högskola, Fakulteten för teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP).
    Bosch, Jan
    Early Value Argumentation and Prediction: An Iterative Approach to Quantifying Feature Value2015Ingår i: Product-Focused Software Process Improvement, Springer, 2015, s. 16-23Konferensbidrag (Refereegranskat)
    Abstract [en]

    Companies are continuously improving their practices and ways of working in order to fulfill always-changing market requirements. As an example of building a better understanding of their customers, organizations are collecting user feedback and trying to direct their R&D efforts by e.g. continuing to develop features that deliver value to the customer. We (1) develop an actionable technique that practitioners in organizations can use to validate feature value early in the development cycle, (2) validate if and when the expected value reflects on the customers, (3) know when to stop developing it, and (4) identity unexpected business value early during development and redirect R&D effort to capture this value. The technique has been validated in three experiments in two cases companies. Our findings show that predicting value for features under development helps product management in large organizations to correctly re-prioritize R&D investments.

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  • 303.
    Fabijan, Aleksander
    et al.
    Malmö högskola, Fakulteten för teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP).
    Olsson Holmström, Helena
    Malmö högskola, Fakulteten för teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP).
    Bosch, Jan
    Customer Feedback and Data Collection Techniques in Software R&D: A Literature Review2015Ingår i: Software Business: 6th International Conference, ICSOB 2015, Braga, Portugal, June 10-12, 2015, Proceedings, Springer, 2015, s. 139-153Konferensbidrag (Refereegranskat)
    Abstract [en]

    In many companies, product management struggles in getting accurate customer feedback. Often, validation and confirmation of functionality with customers takes place only after the product has been deployed, and there are no mechanisms that help product managers to continuously learn from customers. Although there are techniques available for collecting customer feedback, these are typically not applied as part of a continuous feedback loop. As a result, the selection and prioritization of features becomes far from optimal, and product deviates from what the customers need. In this paper, we present a literature review of currently recognized techniques for collecting customer feedback. We develop a model in which we categorize the techniques according to their characteristics. The purpose of this literature review is to provide an overview of current software engineering research in this area and to better understand the different techniques that are used for collecting customer feedback.

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  • 304.
    Olsson, Carl Magnus
    Malmö högskola, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap (DV). Malmö högskola, Internet of Things and People (IOTAP).
    Systematic interviews and analysis: Using the repertory grid technique2015Ingår i: Game Research Methods / [ed] Petri Lankoski, Staffan Björk, ETC Press, 2015, s. 291-307Kapitel i bok, del av antologi (Övrigt vetenskapligt)
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  • 305.
    Olsson, Carl Magnus
    Malmö högskola, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap (DV). Malmö högskola, Internet of Things and People (IOTAP).
    Fundamentals for writing research: A game-oriented perspective2015Ingår i: Game Research Methods / [ed] Petri Lankoski, Staffan Björk, ETC Press, 2015, s. 9-20Kapitel i bok, del av antologi (Övrigt vetenskapligt)
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  • 306. Siebers, Peer-Olaf
    et al.
    Davidsson, Paul
    Malmö högskola, Fakulteten för teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP).
    Engineering Agent-Based Social Simulations: An Introduction2015Ingår i: JASSS: Journal of Artificial Societies and Social Simulation, E-ISSN 1460-7425, Vol. 18, nr 3, artikel-id 13Artikel i tidskrift (Övrigt vetenskapligt)
    Abstract [en]

    This special section on "Engineering Agent-Based Social Simulations" aims to represent the current state of the art in using Software Engineering (SE) methods in ABSS. It includes a mixture of theoretically oriented papers that describe frameworks, notations and methods adapted from SE and practice-oriented papers that demonstrate the application of SE methods in real world ABSS projects.

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  • 307. Mbiydzenyuy, Gideon
    et al.
    Persson, Jan A.
    Malmö högskola, Fakulteten för teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP).
    Davidsson, Paul
    Malmö högskola, Fakulteten för teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP).
    Exploring synergy relationships between telematic services and functionalities using cluster analysis2015Ingår i: IET Intelligent Transport Systems, ISSN 1751-956X, E-ISSN 1751-9578, Vol. 9, nr 4, s. 366-374Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    A method for assessing potential synergies among different sets of transport telematic services (TTSs) is suggested. An Intelligent Transport System enhances transport by delivering one or more TTSs. The ability to deliver multiple TTSs to address a wide range of stakeholder needs is gaining momentum, not only from a marketing perspective but also from a technological perspective. The total cost of TTSs can be reduced if they share functionalities (i.e., sub-services provided by telematic systems). We show how this synergy can be assessed with the help of clustering methods. Knowledge about possible synergies of functionalities is useful in the (re)design and eventual deployment of TTSs, especially when the underlying telematic systems are able to support multiple TTSs. To adapt the clustering method for this purpose, we suggest a mathematical formulation of synergy among functionalities of TTSs. By applying the method to a set of 32 TTSs, we obtain a cluster formation of these TTSs according to their synergy measures. Overall, the results suggest that the joint implementation of TTSs targeted toward some problem domains can lead to significant cost savings, for example, Road User Charging, Infrastructure Repair and Maintenance, and Information on the Transport of extra large goods for the management of road transport infrastructure.

  • 308.
    Holmgren, Johan
    et al.
    Malmö högskola, Teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP).
    Ramstedt, Linda
    Davidsson, Paul
    Malmö högskola, Teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP).
    Edwards, Henrik
    Persson, Jan A.
    Malmö högskola, Teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP).
    Combining Macro-level and Agent-based Modeling for Improved Freight Transport Analysis2014Ingår i: Procedia Computer Science, E-ISSN 1877-0509, Vol. 32, s. 380-387Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Macro-level models is the dominating type of freight transport analysis models for supporting the decision-making in public authorities. Recently, also agent-based models have been used for this purpose. These two model types have complementing characteristics: macro-level models enable to study large geographic regions in low level of detail, whereas agent-based models enable to study entities in high level of detail, but typically in smaller regions. In this paper, we suggest and discuss three approaches for combining macro-level and agent-based modeling: exchanging data between models, conducting supplementary sub-studies, and integrating macro-level and agent-based modeling. We partly evaluate these approaches using two case studies and by elaborating on existing freight transport analysis approaches based on executing models in sequence.

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  • 309.
    Jacobsson, Andreas
    et al.
    Malmö högskola, Teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP).
    Boldt, Martin
    Carlsson, Bengt
    On the Risk Exposure of Smart Home Automation Systems2014Ingår i: Proceedings 2014 International Conference on Future Internet of Things and Cloud, IEEE Computer Society Conference Publishing Service (CPS) , 2014, s. 183-190Konferensbidrag (Refereegranskat)
    Abstract [en]

    Achieving security in Internet of Things environments has been identified as one of the top barriers for realizing the vision of smart, energy-efficient homes and buildings. In this context, understanding the risks related to the use and potential misuse of information about customers, partners, and end-users, as well as, forming methods for integrating security-enhancing measures in the design is not straightforward and thus requires substantial investigation. A risk analysis applied on a smart home automation system developed in a research project involving leading industrial actors has been conducted. The results indicate that with the implementation of standard security features, new as well as, current risks can be minimized to acceptable levels albeit that the most serious risks, i.e., those derived from the human factor, need more careful consideration, as they are inherently complex in nature.

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  • 310.
    Jevinger, Åse
    et al.
    Malmö högskola, Teknik och samhälle (TS). Malmö högskola, Internet of Things and People (IOTAP).
    Göransson, Malin
    Båth, Klara
    A Field Test Study on a Dynamic Shelf Life Service for Perishables2014Ingår i: 26th Conference of the Nordic Logistics Research Network: NOFOMA 2014, Proceedings, 2014, s. 78-92Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    Purpose: To investigate the possibilities, risks and requirements of a dynamic shelf life service – a technological innovation focusing on minimizing food waste in supply chains (SC). Design/methodology/approach: Semi-structured, open-ended interviews with SC actors have been used to identify the requirements, possibilities and risks with a dynamic shelf life service. Field tests have been conducted to investigate practical implications and effects of small temperature variations on shelf life. The field tests involved sensors based on Bluetooth Low Energy (BLE) and Radio Frequency Identification (RFID). Findings: The results show that a DSLP service holds great potentials. The field tests revealed that shelf life predictions are sensitive to small temperature differences along the cold chain. Results from the interviews confirm the importance of accuracy. The interviews also emphasize the importance of sharing costs among the involved actors. Research limitations/implications: Key aspects from 11 SC actors concerning dynamic shelf life prediction in cold chains are provided. The field tests involve a SC from production to household. Practical implications: Implementation of a dynamic shelf life service can increase visibility and information flow within SCs. The system can also be integrated with companies’ business systems creating new business opportunities and reducing manual work by automatically alerting quality fluctuations of food products. Original/value: Quantitative and qualitative data from 11 SC actors are provided. This information, together with the experiences reported from the field tests, have the potential to help replacing dysfunctional date labelling systems and reduce food waste.

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2829303132 301 - 310 av 316
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