Search Results - (( software evaluation clustering algorithm ) OR ( java application testing 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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RSA Encryption & Decryption using JAVA
Published 2006“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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Final Year Project -
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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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Proceeding Paper -
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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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Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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Journal -
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Analysis of Microscopic Blood Samples for Detecting Malaria
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Undergraduates Project Papers -
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A framework for automated quality assessment of software requirement specification based on part-of-speech tagging, multi-agent k-means clustering and case-based reasoning
Published 2022“…Software Requirement Specification (SRS) is an imperative process in a Software Engineering (SE) cycle, where its role is to document functional and non-functional requirements and to establish the tasks that a particular system is set to accomplish. …”
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Thesis -
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…Euclidean Distance, Pearson Correlation and Matching Matrix were used to measure the performance of the feature extraction and clustering methods. Recognition software achieved 87.14%, EPD algorithm achieved 73.57% and HMT algorithm achieved 74.30%) prediction accuracy with OTs. …”
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Thesis
