Vitenskapelige publikasjoner fra Institutt for teknologi: Nye registreringer

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    • Comparing Interactive Retrieval Approaches at the Lifelog Search Challenge 2021 

      Tran, Ly-Duyen; Nguyen, Manh-Duy; Dang Nguyen, Duc Tien; Heller, Silvan; Spiess, Florian; Lokoc, Jakub; Peska, Ladislav; Nguyen, Thao-Nhu; Khan, Omar Shahbaz; Duane, Aaron; Jonsson, Bjorn Por; Rossetto, Luca; Yen, An-Zi; Alateeq, Ahmed; Alam, Naushad; Tran, Minh-Triet; Healy, Graham; Schoeffmann, Klaus; Gurrin, Cathal (Peer reviewed; Journal article, 2023)
      The Lifelog Search Challenge (LSC) is an interactive benchmarking evaluation workshop for lifelog retrieval systems. The challenge was first organised in 2018 aiming to find the system that can quickly retrieve relevant ...

    • ORGANISING DEVELOPMENT PROCESSES: THE CASE OF PRODUCT-SERVICE SYSTEMS 

      Aas, Tor Helge; Breunig, Karl Joachim; Hellström, Magnus Mikael; Hydle, Katja Maria (Peer reviewed; Journal article, 2023)
      This study addresses the development of new integrated product–service systems (PSSs). Most empirical research on the organisation of development processes has focussed on new product development, new service development, ...

    • Smart Shopping Carts to Increase Healthier Food Purchase: A Conjoint Experiment 

      Eriksson, Niklas; Fagerstrøm, Asle; Sigurdsson, Valdimar; Larsen, Nils Magne; Menon, Vishnu R.G. (Chapter, 2023)

    • Random Testing and Evolutionary Testing for Fuzzing GraphQL APIs 

      Belhadi, Asma; Zhang, Man; Arcuri, Andrea (Peer reviewed; Journal article, 2023)
      The Graph Query Language (GraphQL) is a powerful language for APIs manipulation in web services. It has been recently introduced as an alternative solution for addressing the limitations of RESTful APIs. This paper introduces ...

    • .NET/C# instrumentation for search-based software testing 

      Golmohammadi, Amid; Zhang, Man; Arcuri, Andrea (Peer reviewed; Journal article, 2023)
      C# is one of the most widely used programming languages. However, to the best of our knowledge, there has been no work in the literature aimed at enabling search-based software testing techniques for applications running ...

    • JavaScript SBST Heuristics to Enable Effective Fuzzing of NodeJS Web APIs 

      Zhang, Man; Belhadi, Asma; Arcuri, Andrea (Peer reviewed; Journal article, 2023)
      JavaScript is one of the most popular programming languages. However, its dynamic nature poses several challenges to automated testing techniques. In this paper, we propose an approach and open-source tool support to enable ...

    • Towards Next-Generation Healthcare: Architectural Insights into an AI-Driven, Smartwatch-Compatible mHealth Application 

      Jat, Avnish Singh; Grønli, Tor-Morten; Lakhan, Abdullah Raza (Peer reviewed; Journal article, 2023)
      With the rise of telemedicine and wearable technology, mHealth (mobile health) applications are becoming increasingly important in providing real-time, personalized healthcare solutions. However, integrating these technologies ...

    • Open Problems in Fuzzing RESTful APIs: A Comparison of Tools 

      Zhang, Man; Arcuri, Andrea (Peer reviewed; Journal article, 2023)
      RESTful APIs are a type of web service that are widely used in industry. In the past few years, a lot of effort in the research community has been spent in designing novel techniques to automatically fuzz those APIs to ...

    • Interpretable intrusion detection for next generation of Internet of Things 

      Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Lin, Jerry Chun-Wei; Yazidi, Anis (Peer reviewed; Journal article, 2023)
      This paper presents a new framework for intrusion detection in the next-generation Internet of Things. MinMax normalization strategy is used to collect and preprocess data. The Marine Predator algorithm is then used to ...

    • Building an open-source system test generation tool: lessons learned and empirical analyses with EvoMaster 

      Arcuri, Andrea; Zhang, Man; Belhadi, Asma; Marculescu, Bogdan; Golmohammadi, Amid; Seran, Susruthan; Galeotti, Juan Pablo (Peer reviewed; Journal article, 2023)
      Research in software testing often involves the development of software prototypes. Like any piece of software, there are challenges in the development, use and verification of such tools. However, some challenges are ...

    • Empowering Homes with Intelligence: An Investigation of Smart Home Technology Adoption and Usage 

      Gøthesen, Sara; Haddara, Moutaz; Kumar, Karippur Nanda (Peer reviewed; Journal article, 2023)
      The increasing interconnectedness of the world, coupled with the proliferation of connected devices, networks, and intricate systems, has paved the way for unparalleled opportunities in automation and sophisticated digital ...

    • Smart Shopping Carts to Increase Healthier Food Purchase: A Conjoint Experiment 

      Erikson, Niklas; Fagerstrøm, Asle; Sigurdsson, Valdimar; Larsen, Nils Magne; Menon, Vishnu R.G. (Chapter, 2023)
      Shopping carts, in general, should be suitable for carrying smart technology in the retail store environment. Also, a smart shopping cart can present verbal motivating stimuli to increase healthier food purchases. A conjoint ...

    • Intelligent Deep Fusion Network for Anomaly Identification in Maritime Transportation Systems 

      Djenouri, Youcef; Belhadi, Asma; Djenouri, Djamel; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Abstract: This paper introduces a novel deep learning architecture for identifying outliers in the context of intelligent transportation systems. The use of a convolutional neural network with decomposition is explored ...

    • Toward a Cognitive-Inspired Hashtag Recommendation for Twitter Data Analysis 

      Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Abstract: This research investigates hashtag suggestions in a heterogeneous and huge social network, as well as a cognitive-based deep learning solution based on distributed knowledge graphs. Community detection is first ...

    • Intelligent Graph Convolutional Neural Network for Road Crack Detection 

      Djenouri, Youcef; Belhadi, Asma; Houssein, Essam H.; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Abstract: This paper presents a novel intelligent system based on graph convolutional neural networks to study road crack detection in intelligent transportation systems. The visual features of the input images are first ...

    • BIoMT-ISeg: Blockchain internet of medical things for intelligent segmentation 

      Belhadi, Asma; Holland, Jon-Olav; Yazidi, Anis; Srivastava, Gautam; Lin, Jerry Chun-Wei; Djenouri, Youcef (Peer reviewed; Journal article, 2023)
      In the quest of training complicated medical data for Internet of Medical Things (IoMT) scenarios, this study develops an end-to-end intelligent framework that incorporates ensemble learning, genetic algorithms, blockchain ...

    • Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action 

      Dwivedi, Yogesh K.; Hughes, Laurie; Kar, Arpan Kumar; Baabdullah, Abdullah M.; Grover, Purva; Abbas, Roba; Andreini, Daniela; Abumoghli, Iyad; Barlette, Yves; Bunker, Deborah; Chandra Kruse, Leona; Constantiou, Ioanna; Davison, Robert M.; De, Rahul; Dubey, Rameshwar; Fenby-Taylor, Henry; Gupta, Babita; He, Wu; Kodama, Mitsuru; Mäntymäki, Matti; Metri, Bhimaraya; Michael, Katina; Olaisen, Johan Leif; Panteli, Niki; Pekkola, Samuli; Nishant, Rohit; Raman, Ramakrishnan; Rana, Nripendra P.; Rowe, Frantz; Sarker, Suprateek; Scholtz, Brenda; Sein, Maung Kyaw; Shah, Jeel Dharmeshkumar; Teo, Thompson S.H.; Tiwari, Manoj Kumar; Vendelø, Morten Thanning; Wade, Michael (Peer reviewed; Journal article, 2022)
      The UN COP26 2021 conference on climate change offers the chance for world leaders to take action and make urgent and meaningful commitments to reducing emissions and limit global temperatures to 1.5 °C above pre-industrial ...

    • Introduction to the HICSS-55 Software Development for Mobile Devices, the Internet-of-Things, and Cyber-Physical Systems Minitrack 

      Majchrzak, Tim A.; Grønli, Tor-Morten; Kaindl, Hermann (Peer reviewed; Journal article, 2022)

    • Investigating the factors of customer experiences using real-life text-based banking chatbot: a qualitative study in Norway 

      Holtmoen Petersson, Anine; Pawar, Sanchit; Fagerstrøm, Asle (Peer reviewed; Journal article, 2023)
      In recent times, banks have increasingly started using chatbots to offer round-the-clock customer service. However, customers experience with this type of technology is not well understood. The aim of this study was to get ...

    • The relative impact of QR codes on omnichannel customer experience and purchase intention 

      Kjeldsen, Kimberley; Nodeland, Margrete; Fagerstrøm, Asle; Pawar, Sanchit (Peer reviewed; Journal article, 2023)
      This study explores the relative impact of quick response (QR) codes in an omnichannel customer situation. A conjoint experiment was conducted where participants (n=53) assigned scores to stimuli cards according to experience ...