How real is real enough? Participant feedback on a behavioral simulation used for information-seeking behavior research

A challenge of studying information-seeking behavior in open web systems is the unpredictability of those systems. One solution to counteract this issue is employing a simulation to ensure experimental control. However, concerns arise over the realism of such an environment. This paper assesses the realism of a behavioral simulation used to study the evaluation behavior of 175 students from fourth grade through graduate school. We assess realism through the examination of targeted participant feedback about what would have made the simulated environment and tasks more realistic to these participants. Based on this feedback, we reflect on decisions made in designing the simulation and offer recommendations for future studies interested in incorporating behavioral simulation in their research design. We find that a thoughtfully designed simulation can elicit naturalistic behavior when the controlled environment is designed to be realistic in meaningful ways. Because the simulation does not have to perfectly match reality to elicit these behaviors, designing a simulation that is real enough is an effective method to study information-seeking behavior.

Application of Neural Networks in Distribution of the Load in Cluster-Based Web Systems

Cloud computing systems revolutionized the Internet, and web systems in particular. Quality of service is the basis of resource configuration management in the cloud. Load balancing mechanisms are implemented in order to reduce costs and increase the quality of service. The usage of those methods with adaptive intelligent algorithms can deliver the highest quality of service. In this article, the method of load distribution using neural networks to estimate service times is presented. The discussed and conducted research and experiments include many approaches, among others, application of a single artificial neuron, different structures of the neural networks, and different inputs for the networks. The results of the experiments let us choose a solution that enables effective load distribution in the cloud. The best solution is also compared with other intelligent approaches and distribution methods often used in production systems.

Sim-DRS: a similarity-based dynamic resource scheduling algorithm for microservice-based web systems

Microservice-based Web Systems (MWS), which provide a fundamental infrastructure for constructing large-scale cloud-based Web applications, are designed as a set of independent, small and modular microservices implementing individual tasks and communicating with messages. This microservice-based architecture offers great application scalability, but meanwhile incurs complex and reactive autoscaling actions that are performed dynamically and periodically based on current workloads. However, this problem has thus far remained largely unexplored. In this paper, we formulate a problem of Dynamic Resource Scheduling for Microservice-based Web Systems (DRS-MWS) and propose a similarity-based heuristic scheduling algorithm that aims to quickly find viable scheduling schemes by utilizing solutions to similar problems. The performance superiority of the proposed scheduling solution in comparison with three state-of-the-art algorithms is illustrated by experimental results generated through a well-known microservice benchmark on disparate computing nodes in public clouds.

Peer Review Declaration Form Guidance

On the following page you will find the declaration form. • Please answer each question. • You should submit the form along with the rest of your submission files. • The deadline is the submission date written in your publishing agreement. All conference organisers/editors are required to declare details about their peer review. We will published the information you provide as part of your proceedings. Peer review declaration All papers published in this volume of IOP Conference Series: Earth and Environmental Science have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double-blind The review process was conducted by concealing identities both the reviewer and from the reviewers, and vice versa, throughout the review process. To facilitate this, the editorial teams ensured that all manuscripts are prepared without the authors’ identity before sending to reviewers. • Conference submission management system: The 5th ICGAB 2021 assisted by Konfrenzi - Web Systems for Scientific Conferences in managing the document submission. • Number of submissions received: 181 • Number of submissions sent for review: 106 • Number of submissions accepted: 90 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 84.9% • Average number of reviews per paper: 2 • Total number of reviewers involved: 40 • Any additional info on review process: - • Contact person for queries: Name : Nimas Mayang Sabrina Sunyoto Affiliation: Faculty of Agricultural Technology, Universitas Brawijaya, Indonesia Email : [email protected]

Ontology-Based Regression Testing: A Systematic Literature Review

Web systems evolve by adding new functionalities or modifying them to meet users’ requirements. Web systems require retesting to ensure that existing functionalities are according to users’ expectations. Retesting a web system is challenging due to high cost and time consumption. Existing ‘systematic literature review’ (SLR) studies do not comprehensively present the ontology-based regression testing approaches. Therefore, this study focuses on ontology-based regression testing approaches because ontologies have been a growing research solution in regression testing. Following this, a systematic search of studies was performed using the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses” (PRISMA) guidelines. A total of 24 peer-reviewed studies covering ontologies (semantic and inference rules) and regression testing, published between 2007 and 2019, were selected. The results showed that mainly ontology-based regression testing approaches were published in 2011–2012 and 2019 because ontology got momentum in research in other fields of study during these years. Furthermore, seven challenges to ontology-driven regression testing approaches are reported in the selected studies. Cost and validation are the main challenges examined in the research studies. The scalability of regression testing approaches has been identified as a common problem for ontology-based and other benchmark regression testing approaches. This SLR presents that the safety of critical systems is a possible future research direction to prevent human life risks.

Knowledge Elicitation with Aboriginal Australian communities

This paper provides techniques for engagement and data collection in researching with Aboriginal Australian cultures, acknowledging significant differences in forms of communication and usage of Information Systems to the mainstream Australian culture. An approach to trust in relationships is developed by interpreting cultural aspects arising from the diverse relationships to technology developed by Aboriginal users. This work uses the existing Honeycomb model for social media development as a base framework for collaborative web systems and online knowledge sharing in the Indigenous domain. We present a series of product development research projects based in universities in NSW Australia, in particular user experience studies, to explain the relationship between the researchers and users and the products that are created in terms of the model. Some concepts and processes fundamental to engagement with Aboriginal Australian communities in the supply of appropriate information sharing technology are discussed in this context. For if Aboriginal people are to engage in IS development, we are sharing the knowledge or the culture that is embedded in the technology which can have detrimental effects. Either we are asking them to enter the culture that created the technology, that is assimilate, or we use engagement in design to change that technology to suit the culture.

Proposal of a web application of virtual letters for restaurants as a prevention measure in time of COVID-19

The COVID - 19 pandemic and the health crisis that today has affected the entire world, has forced many companies to make the use of technological tools essential for them to compete in the market. All this has made mobile applications or web systems the most appropriate solution to implement in your business model. The present investigative work aims to propose the analysis and development of an order management system, digitizing the menu for restaurants and allowing the ordering process to be quick and interactive. Following the guidelines provided by the Government of Peru, in which they recommend, the digitization of traditional letters as it is considered a source of the spread of the coronavirus and to be replaced by menus or virtual letters which can be scanned through QR codes. The development of this project allows customers to view in detail the available dishes offered by the restaurant and proceed to order the food they want, on the other hand, the restaurant can keep track of all orders and relevant information about the business. To develop the prototype, an analysis and information gathering of the technologies to be implemented will begin.