• From Big Data to Deep Data to support people analytics for employee attrition prediction 

      Ben Yahia, Nesrine; Hlel, Jihen; Colomo-Palacios, Ricardo (Peer reviewed; Journal article, 2021)
      In the era of data science and big data analytics, people analytics help organizations and their human resources (HR) managers to reduce attrition by changing the way of attracting and retaining talent. In this context, ...
    • Holding on to Compliance While Adopting DevSecOps: An SLR 

      Ramaj, Xhesika; Sanchez Gordon, Mary Luz; Gkioulos, Vasileios; Chockalingam, Sabarathinam; Colomo-Palacios, Ricardo (Peer reviewed; Journal article, 2022)
      The software industry has witnessed a growing interest in DevSecOps due to the premises of integrating security in the software development lifecycle. However, security compliance cannot be disregarded, given the importance ...
    • IT-Business Alignment: A Systematic Literature Review 

      Njanka, Samgwa Quintine; Sandula, Godavari; Colomo-Palacios, Ricardo (Peer reviewed; Journal article, 2021)
      IT-business alignment has been the focus for top managers in the last two decades. Literature reported IT-business alignment as one of the key enablers for the success of IT in an organization. Given its importance, this ...
    • A machine learning-based intrusion detection for detecting internet of things network attacks 

      Saheed, Yakub Kayode; Abiodun, Aremu Idris; Misra, Sanjay; Holone, Monica Kristiansen; Colomo-Palacios, Ricardo (Peer reviewed; Journal article, 2022)
      The Internet of Things (IoT) refers to the collection of all those devices that could connect to the Internet to collect and share data. The introduction of varied devices continues to grow tremendously, posing new privacy ...
    • NoOps – A Multivocal literature review 

      Stefanac, Tommy; Colomo-Palacios, Ricardo (Peer reviewed; Journal article, 2022)
      Traditionally, an organization had to have in-house servers and hardware to build a web application. This evolved into Cloud computing where the possibility for cost reduction and scalable data storage became a reality. ...
    • Psychographic Traits Identification based on political ideology: An author analysis study on spanish politicians tweets posted in 2020 

      García-Díaz, José Antonio; Colomo-Palacios, Ricardo; Valencia-Garcia, Rafael (Peer reviewed; Journal article, 2022)
      In general, people are usually more reluctant to follow advice and directions from politicians who do not have their ideology. In extreme cases, people can be heavily biased in favour of a political party at the same time ...
    • Software and Systems Engineers in ICS Security: Graduate-Level Curricula and Industry Needs 

      Mikkelsplass, Stine Aurora; Simensen, John Eidar; Colomo-Palacios, Ricardo (Peer reviewed; Journal article, 2023)
      The introduction of Industry 4.0 and IIoT has enabled the interconnection of information technology (IT) and operational technology (OT) and exposed industrial control systems to cyber threats. Industrial cybersecurity ...
    • Software Engineering Applications enabled by Blockchain Technology: A Systematic Mapping Study 

      Demi, Selina; Colomo-Palacios, Ricardo; Sánchez-Gordón, Mary (Peer reviewed; Journal article, 2021)
      The novel, yet disruptive blockchain technology has witnessed growing attention, due to its intrinsic potential. Besides the conventional domains that benefit from such potential, such as finance, supply chain and healthcare, ...
    • A Systematic Review on Social Robots in Public Spaces: Threat Landscape and Attack Surface 

      Oruma, Samson Ogheneova; Sánchez-Gordón, Mary; Colomo-Palacios, Ricardo; Gkioulos, Vasileios; Hansen, Joakim K. (Peer reviewed; Journal article, 2022)
      There is a growing interest in using social robots in public spaces for indoor and outdoor applications. The threat landscape is an important research area being investigated and debated by various stakeholders. Objectives: ...
    • UMUTeam at EmoEvalEs 2021: Emosjon Analysis for Spanish based on Explainable Linguistic Features and Transformers 

      García-Díaz, José Antonio; Colomo-Palacios, Ricardo; Valencia-Garcia, Rafael (Peer reviewed; Journal article, 2021)
      Emotion Analysis extends the idea of Sentiment Analysis by shifting from plain positive or negative sentiments to a rich variety of emotions to get better understanding of the users’ thoughts and appraisals. The move from ...
    • UMUTeam at EXIST 2021: Sexist Language Identification based on Linguistic Features and Transformers in Spanish and English 

      García-Díaz, José Antonio; Colomo-Palacios, Ricardo; Valencia-García, Rafael (Peer reviewed; Journal article, 2021)
      Sexism is harmful behaviour that can make women feel worthless promoting self-censorship and gender inequality. In the digital era, misogynists have found in social networks a place in which they can spread their oppressive ...
    • User experience in social robots 

      Shourmasti, Elaheh Shahmir; Colomo-Palacios, Ricardo; Holone, Harald; Demi, Selina (Peer reviewed; Journal article, 2021)
      Social robots are increasingly penetrating our daily lives. They are used in various domains, such as healthcare, education, business, industry, and culture. However, introducing this technology for use in conventional ...
    • Visual Analytics for Decision Support: A Supply Chain Perspective 

      Khakpour, Alireza; Colomo-Palacios, Ricardo; Martini, Antonio (Peer reviewed; Journal article, 2021-06-03)
      Supply chain (SC) activities generate huge amount of data that can be used in decision making processes. However, proper data analytics techniques are required to combine, organize, and analyze data from different sources ...
    • What have we learnt from the challenges of (semi-) automated requirements traceability? A discussion on blockchain applicability. 

      Demi, Selina; Sánchez-Gordón, Mary; Colomo-Palacios, Ricardo (Peer reviewed; Journal article, 2021-07-04)
      Over the last 3 decades, researchers have attempted to shed light into the requirements traceability problem by introducing tracing tools, techniques, and methods with the vision of achieving ubiquitous traceability. Despite ...