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Titlebook: Software and Data Engineering; 33rd International C Wenying Feng,Nick Rahimi,Venkatasivakumar Margapur Conference proceedings 2025 The Edit

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楼主: 多愁善感
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Enhancing Generative AI Chatbot Accuracy Using Knowledge Graphr developing intelligent chatbots that can deliver precise and contextually appropriate responses. We created three categories of test cases: Data-Relevant Inquiries, Non-Contextual Queries, and Contextually Relevant but Data-Irrelevant Questions. The accuracy obtained for the data-relevant test cases was 91.44%.
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Embracing Residuality Theory in Software Architecture to Address Uncertainty: Key Challenges and Strdynamic environments of technology, external factors and events that can potentially impact the system’s operation and stability. Residuality theory, in particular, provides a new ideology that challenges conventional approaches to software design. In this paper, we propose a Residual Dynamic Manage
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Zoned Role-Based Approach to System Design, Implementation, and Access Control of Integrated Web Appill present zoned role-based (ZRB) approach to the design and implementation of integrated web-based systems for organizations and enterprises. In contrast to Role-Based Access Control (RBAC), well-known in computer security, this approach can be used throughout the entire life cycle of a web-based
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A Survey and Insights on Modern Game Development Processes for Software Engineering Educationg need to survey and analyze the current game development processes so that students who have an interest in game development can have better knowledge and skills for their projects in game software engineering education. In this paper, we present our survey and analysis of multiple aspects of moder
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Evaluating the Impact of Combinatorial Interaction Testing on Test Automation: A Case Study from Indon Testing (CIT) has been theoretically investigated, its effectiveness in real-world scenarios remains unclear [.]. This research fills that gap by utilizing CIT in some live software projects. We led two studies: the first focuses on optimizing user input testing in jTrac, and the second focused o
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JSMBox—A Runtime Monitoring Framework for Analyzing and Classifying Malicious JavaScriptMalicious websites often incorporate JavaScript code to execute attacks on web browsers. Despite existing methodologies documented in the literature, the analysis and detection of malicious JavaScript pose significant challenges due to the dynamic nature of JavaScript and the use of advanced evasion
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