Results 31 to 40 of about 398 (165)
SRGM with Imperfect Debugging by Genetic Algorithms
Computer software has progressively turned out to be an essential component in modern technologies. Penalty costs resulting from software failures are often more considerable than software developing costs. Debugging decreases the error content but expands the software development costs. To improve the software quality, software reliability engineering
SatyaPrasad R, NagaRaju O, LKantam R.R
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Modeling Mechanism and Review of Imperfect Debugging Reliability Model Related to the Total Number of Faults in Software [PDF]
In the reliability research,the total number of software faults is crucial for allocating testing resources,assessing reliability changes,and determining optimal release times.However,there has been limited research from the perspective of total faults ...
ZHANG Ce, SUN Zhichao, JI Kexing, WANG Jinyong, WANG Yubin
doaj +1 more source
Imperfect Debugging in Software Systems by SRGM with TEF
Abstract: In the Proposed work we are going to assimilate two important process called TEF and imperfect debugging in software systems for analyzing FDP and FCP. Byapplying the tools called debuggers we are going to identify the failures and going to correct them in order to attain the high quality reliability.
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This paper proposes a generalized model to cover imperfect debugging and the uncertainty of the operating environment and its effect on fault detection rate into software reliability evaluation based on a non-homogeneous Poisson process (NHPP). Many NHPP
Qiuying Li, Hoang Pham
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Hyper-geometric distribution software reliability growth model with imperfect debugging [PDF]
Debugging actions during the test/debug phase of software development are not always performed perfectly. That is, not all the software faults detected are perfectly removed without introducing new faults. This phenomenon is called imperfect debugging.
Hou, Rong-Huei +2 more
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Intelligent Tutoring Systems for Adult Learning in STEM Disciplines
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li +5 more
wiley +1 more source
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs
Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin +1 more
wiley +1 more source

