Search Results - (( software evaluation clustering algorithm ) OR ( java application learning algorithm ))
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Software module clustering: An in-depth literature analysis
Published 2022“…The obtained data were then used to answer several research questions regarding state-of-the-art clustering approaches, applications of clustering in software engineering, clustering processes, clustering algorithms, and evaluation methods. …”
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Datasets Size: Effect on Clustering Results
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A hybrid Method Of Centroid-Based Clustering And Meta-Heuristic For Personalized Web Search
Published 2024thesis::doctoral thesis -
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Web cluster load balancing via genetic-fuzzy based algorithm
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Crowdsource requirements engineering: Using online reviews as input to software features clustering
Published 2017“…The clustering results achieved by K-Means were evaluated in terms of cluster compactness and cohesion. …”
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Anomaly-based intrusion detection through K-Means clustering and Naives Bayes classification
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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.
Published 2020“…Thus, there is a need to evaluate this kind of approach against relevant industrial software, with a purpose to show the degree of interaction required to cover the code as well as finding faults. …”
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Crowdsource requirements engineering: Using online reviews as input to software features clustering
Published 2024journal::journal article -
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Empirical robustness evaluation of DNA-based clustering methods
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A Community-Based Fault Isolation Approach for Effective Simultaneous Localization of Faults
Published 2019“…However, the relationship between faults and failures is not easily identified and depends solely on the accuracy of clustering, such as existing clustering algorithms are not able to isolate failed tests to their causative faults effectively which hinder localization effectiveness. …”
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Analysis of Microscopic Blood Samples for Detecting Malaria
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Conference or Workshop Item -
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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