Reviewerly/exHarmony huggingface dataset:
Understanding Cybersecurity Behavior in the Banking Industry Using Protection Motivation Theory

The widespread adoption of digital technology has brought about significant transformations in various industries, including banking, where internet-based applications are used extensively for customer transactions. However, along with these advancements, there has been a parallel increase in cybercrime incidents, posing serious challenges for individuals and organizations. In Indonesia, this issue is particularly pronounced, with the country ranking as the eighth globally and the highest in Southeast Asia for the number of data breaches in 2022 (Dihni, 2022). Among the various forms of cybercrime, online fraud, such as phishing scams targeting banking customers, has become increasingly prevalent, leading to substantial financial losses (CNN Indonesia, 2022). In response to this alarming trend, regulatory bodies in Indonesia, including the Financial Services Authority and the Indonesian Central Bank, have devised a roadmap to strengthen IT security systems and mitigate cyber risks in the banking sector. While measures have been implemented to counter cybercrime risks, the perception of users regarding these threats often goes unnoticed. Previous research has primarily focused on individual awareness of cybercrime threats, overlooking the influence of perceived knowledge and protection habits on cybersecurity behavior (Shappie et al., 2019; Kimpe et al., 2021; Zwilling et al., 2022). Keywords: Cybersecurity behaviour, Mobile banking, Perceived knowledge, Protection habit, Protection Motivation Theory (PMT)
SST' 23 — Software and Systems Traceability Message from the Workshop Chairs

Welcome to SST'23, the 11th International Workshop on Software and Systems Traceability as part of the program of the 31st IEEE International Conference on Requirements Engineering (RE 2023) in Hanover, Germany! SST'23 is held on Monday, September 4, 2023. We are very happy to host an exciting event with an engaging, varied, and high-quality program and to continue the tradition of previous editions of SST and TEFSE.
Inconsistency Detection in Natural Language Requirements using ChatGPT: a Preliminary Evaluation

With the rapid advancement of tools based on Artificial Intelligence, it is interesting to assess their usefulness in requirements engineering. In early experiments, we have seen that ChatGPT can detect inconsistency defects in natural language (NL) requirements, that traditional NLP tools cannot identify or can identify with difficulties even after domain-focused training. This study is devoted to specifically measuring the performance of ChatGPT in finding inconsistency in requirements. Positive results in this respect could lead to the use of ChatGPT to complement existing requirements analysis tools to automatically detect this important quality criterion. For this purpose, we consider GPT-3.5, the Generative Pretrained Transformer language model developed by OpenAI. We evaluate its ability to detect inconsistency by comparing its predictions with those obtained from expert judgments by students with a proven knowledge of RE issues on a few example requirements documents.
Do We Publish Credible Evidence?

Software engineering has moved towards being a more evidence-based discipline. For example, systematic literature studies have become a standard practice in our field. However, to be evidence-based, we, as authors of both primary and systematic literature studies, still need to ensure that we publish credible evidence that researchers and practitioners alike can build upon. The keynote will discuss evidence and illustrate that we need to take action to become more evidence-based and that we are all responsible for improving as authors, reviewers, program chairs and editors. Some of the problems are illustrated generally, and then the findings from analyzing a sample of requirements engineering papers are presented before concluding the presentation.
Preface of RESET 2023: 2nd International Workshop on Requirement Engineering for Software Startups and Emerging Technologies

The Second International Workshop on Requirement Engineering for Software startups and Emerging Technologies (RESET) is a part of the 31st IEEE International Requirements Engineering Conference 2023, held on 4 September 2023. The workshop brought together requirements engineering researchers and practitioners to discuss the need for adapting conventional requirement engineering artifacts (i.e., requirement definition, metrics), processes and practices in developing and operating emerging technologies, including Software Startups, Artificial Intelligence (AI), Blockchain, and Quantum Computing. Participants gained insights into the RE practices, tools, techniques, and frameworks that can help them build scalable, robust, and innovative software-intensive systems. The workshop included a keynote presentation and four paper presentations.
Building Information Modeling-Powered Augmented Reality and User Study for Learning Architectural Representations

Advances in computational technology provide opportunities to explore new methods to improve spatial abilities and the understanding of buildings in architecture education. This research devised and tested a learning approach that utilizes Augmented Reality (AR), Building Information Modeling (BIM), and physical buildings for architecture education. The research employed our developed BIMxAR, which is a BIM-enabled AR educational tool to support the learning and understanding of building construction systems, materials configuration, and 3D section views of complex building structures. BIMxAR utilizes our novel and accurate AR registration method (DL-3S-BIM) for the scale of buildings and the novel visualization mode, which is designed to improve users' spatial awareness. We validated the research approach through a test case based on a quasi-experimental research design, in which BIMxAR was used as an intervention. Two study groups were employed – non-AR and AR. The test case utilized a longitudinal study approach as a data collection strategy, i.e., pretest phase–learning phase–posttest phase, with multiple tests including a novel architectural representation test developed by the researchers. The user study observations indicate that BIMxAR (AR version) was easier to use since participants did not spend any effort in matching the orientation of the BIM virtual model with the physical building. Participants favored the novel visualization mode in AR - the rendering of the surrounding environment in front of and around the section cutting plane. The results reveal that the overall workload associated with the use of BIMxAR was significantly lower in the AR group. Also, participants in the AR group perceived higher performance of BIMxAR. Therefore, BIMxAR (AR version) is considered an easy and convenient learning tool.
Mapping the Landscape of Blockchain Research in Human Resource Management: A Bibliometric Analysis

This paper presents a bibliometric analysis of the literature on blockchain technology's application in human resource management. The study aims to map the current state of research on this topic and identify major themes and trends in the literature. We analyzed a total of 124 articles from 32 countries, authored by 238 individuals and 82 institutions from the Scopus database. Our findings indicate that research on blockchain in human resource management is a growing area of interest, with a focus on topics such as recruitment, talent management, and employee data management. We also found that most of the research has been conducted in North America (42.7%) and Europe (34.7%), with fewer contributions from Asia (14.5%) and other regions. Our study contributes to the literature by providing a comprehensive overview of the current knowledge on blockchain in human resource management and identifying research gaps and future directions.
Gradient-Based Online Trajectory Planning for Quadrotor Transportation Systems

Trajectory planning has been an important research area for quadrotor transportation systems for a long time. However, generating feasible trajectories in real-time that allow quadrotor transportation systems to navigate safely in complex environments remains a challenging issue. This article proposes an efficient gradient-based safety constraint that helps keep the system away from obstacles. Furthermore, this paper combines safety constraint with a novel B-spline-based optimization method that utilizes an improved hybrid-state A* algorithm for path searching to generate desired trajectory. Strategies to speed up path searching and unconstrained optimization problem constructed in B-spline optimization guarantee the computational efficiency. The feasibility of the resulting trajectory has been verified through simulation.
L’activité phatique et régulatrice dans la conversation en fulfulde-funangeere : aspects interactionnels et relationnels

Phatic and Feedback Activity in Conversation in Fulfulde-Funangeere: interactional and relational aspects&#x0D; This article focuses on the collective construction of discourse through the prism of phatic and feedback activity. The empirical framework is the informal conversation in Fulfulde. The aim of the analysis is to describe the linguistic materials used by the participants to perform the roles of speaker and addressee, respectively. The analysis focuses on the processes of establishing and maintaining communicative contact on the one hand, and on the markers of the addressee's commitment on the other. The empirical data used are the result of a sociolinguistic survey carried out through non-participant observation, a questionnaire, and the recording of five conversations in Fulfulde-Funangeere in the city of Maroua, Cameroon. The study is based on the hypothesis that phatic and backchannel activities are involved in the interactional mechanisms of synchronization of exchanges, but also have relational functions. The analyses take advantage of interctionist epistemology, notably conversational analysis (Sacks et al, 1974, Traverso, 2011) and the interpersonal relationship in discourse in interaction (Goffman, 1974; Kerbrat-Orecchioni, 1992, 2005). The results of the study underline the polyfunctional character of the linguistic units mobilized by the interactants to maintain contact and mark their socio-cognitive commitment to the exchange. It also emerges that the linguistic units identified provide both interactional and relational microfunctions, confirming the basic hypothesis. In fact, the importance given to speech in the interaction forces the participants to engage emotionally, cognitively, and socially in the interaction. The interaction then becomes the place par excellence where the socio-affective stakes are played out: appearing benevolent, suitable, highlighting one's good education, showing deference and altruism, maintaining and consolidating interpersonal ties. In short, this study of the phatic and feedback activity contributes to shed light on some aspects of the conversational style of the peoples of the Sudano-Sahelian area of the Far North of Cameroon.
Methodological Aspect of Using Distance Learning Platforms in the Educational and Research Activities of Future Higher Education Students

The article identifies the pedagogical prerequisites for the use of distance learning (DL) system for students in the educational environment (pedagogical conditions determine the reasons for the transition from the classical to the distance education system; social prerequisites are expressed in the development of society and pedagogical science, the need to solve the problems of the education system itself in the educational environment). The authors also identified the specifics of student learning within the distance learning system in the modern knowledge-intensive environment (the focus of the educational process on the development of research, project, and innovation skills). The research involved the elaboration and experimental testing of a pedagogical model of distance learning in the educational environment based on systemic, synergistic, cybernetic, personality-oriented, and competence-based approaches. This model includes the following components: aims and goals of use; means of achieving them; results and outcomes of activities, content of pedagogical activity, technologies, and available resources. The authors have substantiated the stages of modeling a student's distance learning system in the educational environment (the stage of designing a pedagogical model of DL, the stage of DL functioning (the stage of information and technical support, the stage of filling the DL platform with educational content, the stage of implementation and progressive development), the stage of evaluating the DL results). The paper defines the criteria and indicators for assessing the level of student competencies formation within the distance learning system in the educational environment. It identifies and substantiates the pedagogical conditions for implementing the distance learning system in the academic environment. The article also reveals the pedagogical conditions for the implementation of the distance learning system in the educational environment (the focus of the educational process on the skills formation of research, project, and innovation activities; interaction with external and internal partners in the process of research, project and innovation activities; availability of a system for monitoring the results of project and innovation activities at all stages of its implementation) can be implemented in the teaching of students in science-intensive sectors in other universities.
Innovative Approaches to Assessment in Pedagogical Practice: New Technologies, Methods and Development of Objective Assessment Tools

The academic paper considers and substantiates pedagogical assessment by applying modern technologies as a special type of interaction between the subjects of the educational process aimed at measuring the significant characteristics of a student’s activity in the course of solving tasks and problem situations, processing and analyzing the received educational information and final assessment. The model of pedagogical assessment based on using modern technologies is focused on solving the problems of objectifying the measurement process, expanding the information base of assessment, creating conditions for the formation of learning activities, including assessment activities, integrating monitoring and teaching functions, individualizing pedagogical assessment at the level of individual learning activities. The model is designed on the principles of integration of the subject-object side of assessment; optimization of criterion depth; temporal perspective; binarity; psychological safety; unity of assessment and learning activities and individualization in relation to the student. It includes the basic modules: criterion-based assessment, managing the transmission of pedagogical assessment (with a two-component information component – object-subject and subject-subject), and a module for processing the primary results of measuring students’ learning activities and visualizing its results. Organizational and pedagogical conditions for implementing the model are as follows: functional completeness of information and software support; teachers’ readiness to use pedagogical assessment by applying computer tools; adjustment of regulatory documents, local acts of the educational institution and protocols of service interaction, which create an opportunity to use assessment systems; creation of a motivation system that stimulates the promotion of personality-oriented education in the teaching team.
Single Shot 3D Shape Measurement of Non-Volatile Data Storage Devices

Abstract The value of electronic waste at present is estimated to increase rapidly year after year, and with rapid advances in electronics, shows no signs of slowing down. Storage devices such as SATA Hard Disks and Solid State Devices are electronic devices with high value recyclable raw materials which often goes unrecovered. Most of the e-waste currently generated, including HDDs, is either managed by the informal recycling sector, or is improperly landfilled with the municipal solid waste, primarily due to insufficient recovery infrastructure and labor shortage in the recycling industry. This emphasizes the importance of developing modern advanced recycling technologies such as robotic disassembly. Performing smooth robotic disassembly operations of precision electronics necessitates fast and accurate geometric 3D profiling to provide a quick and precise location of key components. Fringe Projection Profilometry (FPP), as a variation of the well-known structured light technology, provides both the high speed and high accuracy needed to accomplish this. However, Using FPP for disassembly of high-precision electronics such as hard disks can be especially challenging, given that the hard disk platter is almost completely reflective. Furthermore, the metallic nature of its various components make it difficult to render an accurate 3D reconstruction. To address this challenge, We have developed a single-shot approach to predict the 3D point cloud of these devices using a combination of computer graphics, fringe projection, and deep learning. We calibrate a physical FPP-based 3D shape measurement system and set up its digital twin using computer graphics. We capture HDD and SSD CAD models at various orientations to generate virtual training datasets consisting of fringe images and their point cloud reconstructions. This is used to train the U-NET which is then found efficient to predict the depth of the parts to a high accuracy with only a single shot fringe image. This proposed technology has the potential to serve as a valuable fast 3D vision tool for robotic re-manufacturing and is a stepping stone for building a completely automated assembly system.
SOCIAL COMPANION CHATBOT FOR HUMAN COMMUNICATION USING ML AND NLP

The advent of chatbot technology has led to a significant shift in the humans communicate with machines. Chatbots powered by Machine Learning (ML) and Natural Language Processing (NLP) can interact with humans naturally and conversationally. This chatbot's primary objective is to provide companionship to individuals who may feel lonely or isolated. The chatbot prompts customers to express their feelings and provides a personalized response based on whether the customer's feelings are positive or negative. The chatbot's development involved designing a userfriendly interface and integrating natural language processing techniques to enable more human-like conversations. If the customer's response matches one of the feelings in the respective list, the chatbot responds with empathy and requests the customer to describe their feelings in more detail. Overall, the chatbot enhances customer support by providing personalized communication with customers.
TRENDS AND INSIGHTS ON TOOLS USED FOR THE DEVELOPMENT OF EXPERT SYSTEMS: A SYSTEMATIC REVIEW OF RESEARCH ARTICLES (2018-2022)

Expert systems, a branch of artificial intelligence, have seen tremendous growth over a long period of time. The application of technology has cut across different sectors of society and made possible by using various software tools. This article critically reviewed the application of software tools in the development of an expert system for use in different sectors. Key issues of focus included tools used, application areas, and the implementation environment. A structured approach to the systematic review was adopted that involved formulation of research questions, establishment of criteria for inclusion &amp; exclusion, undertaking a search, selection of articles to be reviewed, assessment of the quality of articles, extraction of data, and analysis of the data. Articles published in English from 2018 to 2022 from journals, conference proceedings, and book series were reviewed. Findings from the review pointed to a widespread application of expert systems globally, developed using several tools. CLIPS, Prolog, Jess, and MATLAB emerged as the preferred tools for the development of expert systems. The implementation of the expert systems involved the independent use of the tools and their integration with other software environments. The different software integration pathways used with the tools have also been highlighted. This review provides insights into the state of research relating to the development of expert systems and their applications.
ANATOL ANCHEV. MY SCIENTIFIC BIOGRAPHY. ON THE OCCASION OF MY 70TH ANNIVERSARY

The text is a review of a new scientific work by Anatol Anchev titled My Scientific Biography. On the Occasion of my 70th Anniversary, which was published in late 2022. The review focuses on the philological aspects of the enormous scientific oeuvre of Prof. Anatol Anchev.
Feature Selection: Traditional and Wrapping Techniques with Tabu Search

Feature selection is an important step in improving the performance of machine learning algorithms. This paper describes a comparative study of traditional feature selection techniques and a wrapping technique with tabu search. To validate our wrapper with tabu search approach, we implemented three feature selection techniques: correlation, entropy, and principal component analysis. Nevertheless, to evaluate their performance, we used three classification algorithms: a J48 decision tree, a random forest, and an artificial neural network. We selected five datasets with a large number of features from public repositories. The experimental results showed that the subsets provided by tabu search have high performance with a J48 decision tree. Additionally, tabu search was better ranked than the other feature selection techniques. Finally, we consider that tabu search is a good alternative for feature selection paired with a simple classification algorithm.
Blockchain Adoption in Enterprises: Opportunities and Challenges

Blockchain is one of the greatest inventions of the 21st century. Since its inception in 2009 to till date, its applicability has increased manyfold in all business operations. Initially, blockchain technology appeared to be too risky for corporate use since it featured a decentralized, peer-to-peer architecture that allowed anyone to join. That began to alter in 2016 with the development of full enterprise platforms by a rising open-source community, including the Ethereum programmable blockchain and Hyperledger, a framework and set of tools for creating industry-grade blockchains. Blockchain is being used in many businesses not just as a cryptocurrency but also as a tool to protect data, privacy, and authentication methods. Because it increases the level of confidence in technical use, it becomes easier to transact with unidentified parties, thus extending markets and driving up demand for goods and services, which can increase profitability. It causes a lot of hurdles for simple and adaptable adoption in modern organizations, as well as many opportunities to preserve and develop opportunities. In this post, the specifics are laid down while taking into account both aspects of blockchain usage.