Search results for "systematic mapping study"

Artificial General Intelligence vs. Industry 4.0 : Do They Need Each Other?

2022

Artificial Intelligence (AI) is known to be a driving force behind the Industry 4.0. Nowadays the current hype on development and industrial adoption of the AI systems is mostly associated with the deep learning, i.e., with the abilities of the AI to perform various specific cognitive activities better than humans do. However, what about the Artificial General Intelligence (AGI), associated with the generic ability of a machine to perform consciously any task that a human can? Do we have many samples of the AGI research adopted by Industry 4.0 and used for smart manufacturing? In this paper, we report the systematic mapping study regarding the AGI-related papers (published during the five-y…

The extent of empirical evidence that could inform evidence-based design of programming languages : a systematic mapping study

2014

The Role of Explainable AI in the Research Field of AI Ethics

2023

Ethics of Artiicial Intelligence (AI) is a growing research ield that has emerged in response to the challenges related to AI. Transparency poses a key challenge for implementing AI ethics in practice. One solution to transparency issues is AI systems that can explain their decisions. Explainable AI (XAI) refers to AI systems that are interpretable or understandable to humans. The research ields of AI ethics and XAI lack a common framework and conceptualization. There is no clarity of the ield’s depth and versatility. A systematic approach to understanding the corpus is needed. A systematic review ofers an opportunity to detect research gaps and focus points. This paper presents the results…

SQL Education

2020

Structured Query Language (SQL) skills are crucial in software engineering and computer science. However, teaching SQL effectively requires both pedagogical skill and considerable knowledge of the language. Educators and scholars have proposed numerous considerations for the betterment of SQL education, yet these considerations may be too numerous and scattered among different fora for educators to find and internalize, as no systematic mappings or literature reviews regarding SQL education have been conducted. The two main goals of this mapping study are to provide an overview of educational SQL research topics, research types, and publication fora, and to collect and propagate SQL teachi…

Programming languages for data-Intensive HPC applications: A systematic mapping study

2020

This work is a result of activities from COST Action 10406 High -Performance Modelling and Simulation for Big Data Applications (cHiPSet), funded by the European Cooperation in Science and Technology. FCT, Portugal for grants: NOVA LINCS Research Laboratory Ref. UID/ CEC/ 04516/ 2019); INESC-ID Ref. UID/CEC/50021/2019; BioISI Ref. UID/MULTI/04046/2103; LASIGE Research Unit Ref. UID/CEC/00408/ 2019. A major challenge in modelling and simulation is the need to combine expertise in both software technologies and a given scientific domain. When High-Performance Computing (HPC) is required to solve a scientific problem, software development becomes a problematic issue. Considering the complexity…

Evidence-based programming language design : a philosophical and methodological exploration

2015

Background: Programming language design is not usually informed by empirical studies. In other fields similar problems have inspired an evidence-based paradigm of practice. Such a paradigm is practically inevitable in language design, as well. Aims: The content of evidence-based programming design (EB-PLD) is explored, as is the concept of evidence in general. Additionally, the extent of evidence potentially useful for EB-PLD is mapped, and the appropriateness of Cohen’s kappa for evaluating coder agreement in a secondary study is evaluated. Method: Philosophical analysis and explication are used to clarify the unclear. A systematic mapping study was conducted to map out the existing body of…

Innovation Initiatives in Large Software Companies : A Systematic Mapping Study

2018

Context: To keep the competitive advantage and adapt to changes in the market and technology, companies need to innovate in an organised, purposeful and systematic manner. However, due to their size and complexity, large companies tend to focus on the structure in maintaining their business, which can potentially lower their agility to innovate.Objective:The aims of this study are to provide an overview of the current research on innovation initiatives and to identify the challenges of implementing those initiatives in the context of large software companies.Method: The investigation was primarily performed using a systematic mapping approach of published literature on corporate innovation …

The Role of Big Data in Addressing Societal Challenges: A Systematic Mapping Study

2019

Part 2: Big Data Analytics; International audience; Big data has recently become the focus of academic and corporate investigation due to its high potential in generating business and social value. We have done a systematic mapping of the literature related to big data and its applications leading to social change through the lens of social innovation. The search strategy initially resulted in 593 papers, and after applying inclusion exclusion criteria a total of 156 papers were mapped; 59% of which were identified as empirical studies. This mapping investigated the publication frequency of the studies, research approach and contributions, research areas and article distribution per journal…