This research paper proposes the implementation of a teaching strategy for the Lean software development course targeting third-year undergraduate students. Additionally, the intermediate results of applying the propo...
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Advancements in software development within the era of Industry 4.0 are prompting a reevaluation of traditional risk management methodologies. This survey investigates the integration of machine learning (ML) with est...
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Advancements in software development within the era of Industry 4.0 are prompting a reevaluation of traditional risk management methodologies. This survey investigates the integration of machine learning (ML) with established frameworks like those from the Project Management Institute (PMI) and ISO 31000. The study focuses on the potential of ML to enhance risk evaluation and mitigation in the software Development Life Cycle (SDLC), while also addressing the challenges it brings, such as data privacy concerns and the risk of biased algorithms, especially in dynamic and regulated environments. This research underscores a significant gap in the literature, highlighting the lack of studies specifically focusing on risk assessment in software production using ML, thus positioning itself as a meta-research study. The findings point to a paradigm shift toward an interdisciplinary approach that merges ML with traditional risk management techniques. Despite the complexities and ethical dilemmas introduced by ML, the study emphasizes the dual role of ML in enhancing software quality and introducing intricate challenges, highlighting the need for continuous research and innovation for the effective integration of ML in software risk management.
The present paper introduces a novel non-isolated high-gain DC-DC converter. In the new converter, the switched-capacitor (SC) method is utilized to achieve voltage gain. The major aim of the new topology compared wit...
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The research topic of Path planning is extremely challenging area of concentration within the field of mobile robots. However, path planning algorithms for mobile robot tasks are contingent upon the environment and it...
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Through data preprocessing, data fusion and collaborative analysis, as well as security protection technologies, the data quality and security in smart grids have been improved. Specific approaches include power deman...
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Context: The rapid evolution of softwareengineering in response to the complex demands of the modern digital society has led to increased pressure on developers to adapt quickly. However, a pragmatic approach often o...
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ISBN:
(纸本)9789897587467
Context: The rapid evolution of softwareengineering in response to the complex demands of the modern digital society has led to increased pressure on developers to adapt quickly. However, a pragmatic approach often overlooks the deeper theoretical foundations, which can result in inefficient software development practices. Systems Thinking (ST), particularly through Critical Systems Heuristics (CSH), offers a reflective and holistic approach to address these challenges, especially in the software requirements elicitation phase. Goal: This research aims to relate an experience of introducing Systems Thinking to undergraduate students using Critical Systems Heuristics as a support tool in a requirement elicitation process. Method: A mixed-methods educational experience was conducted with 36 undergraduate softwareengineering students. The students applied the CSH framework during an assignment on software requirements elicitation. The effectiveness of CSH was assessed through both quantitative measures (number and categorization of elicited requirements) and qualitative feedback (students’ perceptions and reflections). At the end of the project, we collected the students’ reflections about the application experience to gather students’ feedback Results: The application of CSH led to the elicitation of 372 total requirements, of which 25 were derived using the CSH framework. Students reported a positive impact on their overall understanding of the system but also highlighted challenges related to the complexity and time-consuming nature of the framework. Conclusion: The study demonstrates that the CSH framework can be a valuable tool in software requirements elicitation, aiding in the understanding the problem’s context and in the confirmation of requirements. While students acknowledged its benefits, they also recognized its limitations, suggesting that further refinement is needed for practical use. This experience contributes to the integration of Systems Thinking
software services play a crucial role in daily life, with automated actions determining access to resources and information. Trusting service providers to perform these actions fairly and accurately is essential, yet ...
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ISBN:
(纸本)9783031790584;9783031790591
software services play a crucial role in daily life, with automated actions determining access to resources and information. Trusting service providers to perform these actions fairly and accurately is essential, yet challenging for users to verify. Even with publicly available codebases, the rapid pace of development and the complexity of modern deployments hinder the understanding and evaluation of service actions, including for experts. Hence, current trust models rely heavily on the assumption that service providers follow best practices and adhere to laws and regulations, which is increasingly impractical and risky, leading to undetected flaws and data leaks. In this paper, we argue that gathering verifiable evidence during software development and operations is needed for creating a new trust model. Therefore, we present TrustOps, an approach for continuously collecting verifiable evidence in all phases of the software life cycle, relying on and combining already existing tools and trust-enhancing technologies to do so. For this, we introduce the adaptable core principles of TrustOps and provide a roadmap for future research and development.
Early defect detection and prediction are essential in softwareengineering to reduce costs and improve quality. This study presents an AI-driven approach for fault detection and prediction employing ML techniques on ...
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The objective of this work is to look at the possibility of reducing the use of diesel power generation with hybrid renewable energy systems in remote locations. Minicoy Island of the Union Territory of Lakshadweep (U...
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With the improvement of drone intelligence level and the development of cluster control technology, drones gradually play an important role in the war, and how to defend against drone attacks has also become an import...
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