Results 11 to 20 of about 1,870,230 (325)
The Impact of Ensemble Techniques on Software Maintenance Change Prediction: An Empirical Study
Various prediction models have been proposed by researchers to predict the change-proneness of classes based on source code metrics. However, some of these models suffer from low prediction accuracy because datasets exhibit high dimensionality or ...
Hadeel Alsolai, Marc Roper
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The ever‐growing open‐source software tools in different domains increase the difficulty of software selection from the end‐users perspective. The process of evaluating, comparing, and selecting open‐source solutions is far from trivial. Especially, when
Yuqi Li +4 more
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Optimized Refactoring Mechanisms to Improve Quality Characteristics in Object-Oriented Systems
Refactoring has emerged as a predominant approach to augmenting software product quality. However, empirical evidence suggests that not all dimensions of software quality experience unending enhancements through refactoring.
Abdullah Almogahed +5 more
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Improving Bug Severity Prediction With Domain-Specific Representation Learning
Automating the process of bug severity assignment can accelerate bug triagers’ efficiency in the life-cycle of software maintenance, improving the quality of software products.
Ye Wei, Chunfu Zhang, Teng Ren
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Software systems now invade every area of daily living. Yet, we still struggle to build systems we can really rely on. If we want to work with software systems at any level, we need to get to grips with the way software evolves. This book should equip the reader with a sound understanding of maintenance and how it affects all levels of the software ...
Takang, A, Grubb, Penny
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While some areas of software engineering knowledge present great advances with respect to the automation of processes, tools, and practices, areas such as software maintenance have scarcely been addressed by either industry or academia, thus delegating ...
Oscar Ancán Bastías +2 more
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During maintenance, software systems undergo continuous correction and enhancement activities due to emerging faults, changing environments, and evolving requirements, making this phase expensive and time-consuming, often exceeding the initial ...
Tjaša Heričko, Boštjan Šumak
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System Failure Detection Using Deep Learning Models Integrating Timestamps With Nonuniform Intervals
System logs play an important role in software development and system maintenance. Many system software programs continuously generate system logs during software runtimes for failure detection and diagnosis purposes.
Yixin Huangfu +2 more
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Minimizing the eccentricity between the centers of mass and stiffness of structures with the optimality criterion method in the structural design process [PDF]
In recent decades, significant efforts have been made to control the torsional displacement of structures, especially in high-rise buildings and irregular structures.
Reza Akbari, Payam Gholbeigi
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Validation Analysis of Drought Monitoring Based on FY-4 Satellite
Droughts are natural disasters that have significant implications for agricultural production and human livelihood. Under climate change, the drought process is accelerating, such as the intensification of flash droughts.
Han Luo +6 more
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