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The Virtual Special Issue "Agents for Theory" discusses theory development using agent-based models (ABMs). The six contributions focus on how the word "theory" is used in the ABM literature, how reviews of ABMs should be conducted to gain ...

• We provide a detailed summary of the Special Issue on theory development with agent-based modelling.
• The Special Issue condenses discussions between experts from a wide range of disciplines.
• Clearer communication of context and a ...

The literature addressing bias and fairness in AI models (fair-AI) is growing at a fast pace, making it difficult for novel researchers and practitioners to have a bird’s-eye view picture of the field. In particular, many policy initiatives, ...

Despite the increasing use of standards for documenting and testing agent-based models (ABMs) and sharing of open access code, most ABMs are still developed from scratch. This is not only inefficient, but also leads to ad hoc and often ...

• Reusable Building Blocks (RBBs) are effective in software development but are underrepresented in agent-based modelling.
• RBBs describe individual mechanisms or processes, distinguishing them from modules that represent entire ...

This paper aims to contribute to both theory and practice by describing current problem-solving practices, proposed by various authors, as part of the quality management process of companies in the automotive industry. The paper, based on ...

Machine learning is increasingly used in a wide set of applications ranging from recommendation engines to autonomous systems through business intelligence and smart assistants. Designing and developing machine learning systems is a ...

• This work describes a mixed method study on architecting ML-enabled systems.
• This work includes a systematic literature review and expert interviews.
• This work elicits 35 design challenges, 42 best practices and 27 design ...

The rise in popularity of gameful design in the last decade has allowed the related industry to evolve and expand, becoming an important trove of knowledge beyond academia and scientific research. This paper presents the main highlights of an in-...

Fall prediction using machine learning has become one of the most fruitful and socially relevant applications of computer vision in gerontological research. Since its inception in the early 2000s, this subfield has proliferated into a robust body ...

While multiple studies have attempted to define and measure User Experience (UX) Maturity — i.e., how familiar organizations are with UX concepts or strategies— more practice-based insight is needed to examine how UX ...

With recent advances in the development of more powerful quantum computers, the research area of quantum software engineering is emerging. Quantum software plays a critical role in exploiting the full potential of quantum computing systems. As a ...

We present best practices for professionals who support computational and data-intensive (CDI) research projects. The practices resulted from the Xpert Network activities, an initiative that brings together major NSF-funded projects for advanced ...

The design and analysis of process models is a critical factor for organizational improvement across various industries. Thanks to its potential to enable common understanding and foster automation, process modeling is increasingly ...

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• A structured elicitation of relevant modeling needs and challenges in healthcare processes.

Nowadays, we are experiencing a new boom in virtual reality (VR) technologies led by big video game companies. When these renewed forms of entertainment caught everyone’s attention, their most common issues began to be noticed. Motion sickness is ...

Handwritten text recognition has been developed rapidly in the recent years, following the rise of deep learning and its applications. Though deep learning methods provide notable boost in performance concerning text recognition, non-trivial ...

The software industry has widely adopted global software development (GSD) to gain economic benefits. Organizations that engage in GSD face various challenges, the majority being associated with requirements change management (RCM). The key motive ...

Although it is widely acknowledged as a fundamental principle that models be fit-for-purpose, there remains lack of clarity on what this notion actually means and therefore how it is achieved. We contend that fitness-for-purpose must go beyond ...

• Model purpose includes not only its functional use but also its management, problem and project contexts.
• Designing a fit-for-purpose model is about making choices that ensure it is useful, reliable and feasible.
• A fitness-for-...

• We provide a step-by-step guide on employing fsQCA based on an already published study.

The increasing interest in fuzzy-set Qualitative Comparative Analysis (fsQCA) in Information Systems and marketing raises the need for a tutorial paper that discusses the basic concepts and principles of the method, provide answers to ...

The educative game market is on the rise. However, research about digital resources that go beyond the common core standards, like games on news education, is still lacking. We already know that there are several advantages of the use ...

This paper provides the results of a survey of the grey literature concerning best practices for end-to-end web test automation. We analyzed more than 2,400 sources (e.g., blog posts, white-papers, user manuals, GitHub repositories) looking for ...

While Behavior-driven development (BDD) tools such as Cucumber are powerful tools for automated testing, they have certain limitations. For example, they often enforce strict syntax for test cases, like the “Given-When-Then” format, which may not ...

An attractive approach to sharing knowledge in Higher Education Institutions (HEIs) is offered by Best Teaching Practices (BTPs), which results from the accumulation of academics’ experiences gained through years of teaching. Many universities ...