Volume 9, Issue 5
This issue of the journal brings together four thoughtful studies that explore how digital tools, AI, education systems, and hardware security can solve real-world problems. One paper introduces a simple system called Watson that helps report software bugs more clearly and quickly, without needing the internet—great for private workplaces. Another explains how AI can be made more understandable and fair, especially when used in areas like healthcare or finance. There’s also a study on a smart classroom tool that helps teachers track student progress and support learning better. Finally, a new method to create secure random numbers using memory chips is shared, useful for making digital systems safer.
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Front Cover
Editorial Board
Editorial
Table of Contents
Web Application Interface Data Collector for Issue Reporting
Insufficient information is often pointed out as one of the main problems with bug reports as most bugs are reported manually, they lack detailed information describing steps to reproduce the unexpected behavior, leading to increased time and effort for developers to reproduce and fix bugs. Current bug reporting systems lack support for self-hosted systems that…
Read More Advancements in Explainable Artificial Intelligence for Enhanced Transparency and Interpretability across Business Applications
This manuscript offers an in-depth analysis of Explainable Artificial Intelligence (XAI), em- phasizing its crucial role in developing transparent and ethically compliant AI systems. It traces AI’s evolution from basic algorithms to complex systems capable of autonomous de- cisions with self-explanation. The paper distinguishes between explainability—making AI decision processes understandable to humans—and interpretability, which provides…
Read More Evaluation of a Classroom Support System for Programming Education Using Tangible Materials
In recent years, the utilization of tangible educational materials has attracted attention on educational settings. They provide hands-on learning experiences for beginners. This trend is especially notable in the field of programming education. Such educational materials are employed in many institutions worldwide. They liberate learners of programming from programming languages that are confined in a…
Read More True Random Number Generator Implemented in ReRAM Crossbar Based on Static Stochasticity of ReRAMs
True Random Number Generators (TRNG) find applications in various fields, especially hardware security. We suggest a TRNG that exploits the intrinsic static stochasticity of Resistive Switching Random Access Memories (ReRAMs) to generate random bits. Other suggested designs use stochasticity in the switching mechanism, which requires high precision over input voltage and time. In the proposed…
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