In order to create software that is reliable, efficient, and of the highest quality, it is imperative to predict and address bugs during the development stage. Early detection of faults is crucial;yet developing a cos...
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In order to create software that is reliable, efficient, and of the highest quality, it is imperative to predict and address bugs during the development stage. Early detection of faults is crucial;yet developing a cost-effective and successful advanced bug prediction model presents challenges. This research endeavor aims to achieve precise bug identification by exploring the utilization of various machine learning techniques on training and testing datasets. Multiple machine learning methods have been devised to identify and learn from software defects. This study employs machine learning techniques to conduct a comprehensive examination of software bug detection, offering valuable insights to the software industry. It synthesizes existing research on bug prediction, detailing different methods and highlighting their effectiveness, advantages, and limitations. This comprehensive analysis offers valuable guidance to researchers and software developers seeking to enhance bug detection methods for the creation of higher-quality software.
This paper aims to optimize both the topology of microstructure and macrostructure, by using the Moving Iso- Surface Threshold (MIST) method under the framework of Isogeometric Analysis (IGA). To achieve this, the phy...
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This paper aims to optimize both the topology of microstructure and macrostructure, by using the Moving Iso- Surface Threshold (MIST) method under the framework of Isogeometric Analysis (IGA). To achieve this, the physical response and the equivalent properties of the microstructure are solved by IGA. The physical response functions are defined at the control points. The NURBS fitting method is used to fit the physical response function, generating a NURBS surface for describing the physical response function, that is, the explicitly described physical response function surface. An iso-surface cut the NURBS physical response surfaces to obtain the explicitly described structure topology. In addition, the standard IGS files of the NURBS physical response surface and iso-surface can be transferred to computer-Aided-Design (CAD) software without post-processing. The multiscale structure can be easily assembled in CAD software using the proposed method. Finally, several numerical examples are performed to demonstrate the effectiveness and efficiency of the proposed method. Obtained results show good agreement with examples in literature in terms of both topology and final value of objective function.
The antique adage "seeing is believing"is simply no longer actual, which has profound implications for a ramification of sides of our lives. Deepfakes are becoming less complicated and simpler to create as t...
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Based on the theory of resource preservation and role theory, a mechanism model of the influence of workplace friendship on employees' deviant behavior in the workplace is constructed. Taking enterprise employees ...
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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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Estimating Worst-Case Execution Time (WCET) as a regression problem has become increasingly challenging due to the complexity of modern hardware and software systems. Traditional statistical methods often fall short o...
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The proceedings contain 38 papers. The special focus in this conference is on Foundations of computerscience. The topics include: Exploring Efficient but Intricate Delivery Truck Routing Heuristics in Suppl...
ISBN:
(纸本)9783031859298
The proceedings contain 38 papers. The special focus in this conference is on Foundations of computerscience. The topics include: Exploring Efficient but Intricate Delivery Truck Routing Heuristics in Supply Chain Management;a Novel Simple Data Structure for Selecting, Inserting, and Deleting in Square Root Time;Autosymmetry Using GF(2) Matrices;TOIChain™: A Proposal for High Performance Tamper Resistant Transactions Without Scaling Limits;searching Real Numbers in Constant Time;MultiMap Implementation in OpenJDK;optimization of the Floyd-Warshall Shortest Path Algorithm;triangle Packing in Graphs with Bounded Degree;navigating the Ethical Landscape of Big Data Collection and Analysis;Assessing ABET’s Outcomes Through a softwareengineering Capstone Course;ECAF: Educational Cybersecurity Assessment Framework for Small Businesses;Leveraging Chat-GPT to Generate Educational Assessment Materials for softwareengineering;a Longitudinal Study to Investigate the Impact of a Service-Learning Course on Its Participants;tertiary Mathematics Students in Different Learning Environments: Perceptions and Achievement;using Logical Fallacies to Educate computerscience Students;Assessing ChatGPT for Algorithm Time Complexity Education;capstone Projects as Ventures to New Knowledge;exploratory Physics Laboratory Experiments;A Personal Tutoring Bot with VR/AR Tools;ES4AL: A Website for Effectiveness Study for Algorithm Learning in computerscience;INDRA: A Drone Penetration Testing Platform for Cybersecurity Education;Exploring the Potential of Generative AI in Education: Opportunities, Challenges, and Best Practices for Classroom Integration;digital Badging as a Motivator in an Undergraduate Course;Coding Process Visualizations for Improved Learning and Academic Integrity in CS1;OBDev: Wireless On Board Development Environment for Raspberry Pi Pico W;unravelling Dropout Intentions: Multifaceted Factors Influencing Student Retention in computerscience Education;to Hack or Not to H
This paper outlines the design and implementation of a solar microgrid-specific high-gain DC-DC booster converter that makes use of a variable inductor and capacitors. To improve the suitability of photovoltaic (PV) p...
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Modern vehicles are integrated systems of complex software that support advanced features such as autonomous driving and over-the-air updates. software-defined vehicles (SDVs) are emerging as a future automotive parad...
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The growing complexity, the ever-ending demands for new features, and the need to become faster to remain competitive force software development organizations to rethink their development and value delivery practices....
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ISBN:
(纸本)9783031783913;9783031783920
The growing complexity, the ever-ending demands for new features, and the need to become faster to remain competitive force software development organizations to rethink their development and value delivery practices. While continuous delivery has become more popular, it still relies mainly on internal metrics, ad-hoc data, and expert opinions. As a result, software organizations stumble to find the balance between improving internal system quality and delivering external value. In fact, understanding and measuring customer value is on itself essential. In this PhD project, we aim for a better understanding of customer value and develop measurement instruments to be integrated with internal perspectives to drive proactive and continuous internal improvement while delivering relevant customer value.
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