the proceedings contain 10 papers. the topics discussed include: augmenting window contents with transfer learning for effort estimation;report on the 8th International Workshop on Quantitative Approaches to software ...
the proceedings contain 10 papers. the topics discussed include: augmenting window contents with transfer learning for effort estimation;report on the 8th International Workshop on Quantitative Approaches to software Quality;on the evolutionary properties of fix inducing changes;using rule mining for automatic test oracle generation;an industrial case study on fault detection effectiveness of combinatorial robustness testing;an evaluation of machine learning methods for predicting flaky tests;towards the identification of process anti-patterns in enterprise architecture models;evaluating the impact of inter process communication in microservice architectures;understanding the involvement of developers in missing link community smell: an exploratory study on apache projects;detection and correction of android-specific code smells and energy bugs: an android lint extension;and comparison of code smells in iOS and android applications.
the proceedings contain 8 papers. the topics discussed include: report on the 12th International Workshop on Quantitative Approaches to software Quality;an automated evaluation approach for Jupyter notebook code cell ...
the proceedings contain 8 papers. the topics discussed include: report on the 12th International Workshop on Quantitative Approaches to software Quality;an automated evaluation approach for Jupyter notebook code cell recommender systems;a report on sentiment report on sentiment analysis of requirements engineering analysis of requirements engineering artifacts created in university course;understanding the occurrences of test smells in open source and industrial software systems: an empirical study on python projects;F-IKOS: an abstract interpretation-based static analyzer for Fortran programs;challenges in adopting LLaMA: an empirical study of discussions on stack overflow;requirements engineering practices model to incorporate 'power' human value;and a novel approach to automated test script generation using large language models for domain-specific languages.
the working principle of the Electrical-hydraulic Stepping Cylinder for widening is introduced in detail. Established the mathematical model. the test method for the stepping cylinder is designed in combination with t...
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In this paper, the traditional RPBF-SLAM algorithm improves the particle sampling stage, resampling stage and map construction stage, and proposes an offline grid map resolution optimization scheme, which improves the...
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Finding optimal configurations for complex systems, such as a fleets of autonomous delivery robots, is a complex task that benefits from automation. Automated search-based approaches have been proposed to automaticall...
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ISBN:
(纸本)9798350344172
Finding optimal configurations for complex systems, such as a fleets of autonomous delivery robots, is a complex task that benefits from automation. Automated search-based approaches have been proposed to automatically find such configurations. Although the configurations found by these methods perform well on average, they may be non-stable, i.e., their performance could vary greatly across scenarios. When deploying a system with a given configuration, it is important to know that it will perform adequately for the range of possible scenarios, i.e., to reduce how much the system's performance varies between scenarios. To this end, we attempt to make the search-based approaches aware of the configurations' stability. We explore two ways of doing this: by integrating it into the fitness functions describing the target performance metrics, and by adding it as a separate set of additional objectives. We applied the two approaches to find optimal configurations of a fleet of robots for automatic delivery service. Results show that integrating the stability concern into the fitness functions is better than treating it separately.
the proceedings contain 50 papers. the topics discussed include: understanding communication characteristics of distributed training;rethinking DNS configuration verification with a distributed architecture;a little c...
ISBN:
(纸本)9798400717581
the proceedings contain 50 papers. the topics discussed include: understanding communication characteristics of distributed training;rethinking DNS configuration verification with a distributed architecture;a little certainty is all we need: discovery and synchronization acceleration in battery-free IoT;QuarkTable: building compact forwarding tables for programmable switches on public clouds;software-based live migration for containerized RDMA;CMDRL: a Markovian distributed rate limiting algorithm in cloud networks;cross-platform transpilation of packet-processing programs using program synthesis;scaling data plane verification via parallelization;FlexMem: proactive memory deduplication for Qcow2-based VMs with virtual persistent memory;an integrated solution for high-efficiency in-band network telemetry;and fast learning enabled by in-network drift detection.
Reinforcement learning (RL) is a machine learning technique that enables an agent to learn optimal behaviors within an environment through a process of trial and error. this is achieved by the agent receiving rewards ...
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In this paper, a white light interference detection device is mainly established to measure the surface roughness of the focusing lens mold to test whether the surface roughness of the mold meets the requirements of m...
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A heavy rainfall hit Western Japan from August 11 to 21, 2021, resulting in extensive damages caused by inundations in 68 rivers. this study utilizes two sets of pre- and post-event SAR satellite imagery to extract th...
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Biomimetic robots have great advantages in terms of flexibility, efficiency, and maneuverability. In this paper, a novel amphibious robot which mimics the undulation motion of stingrays and snakes are proposed. the ro...
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