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    Construction of prioritized t-way test suite using Bi-objective Dragonfly Algorithm by Ahmed, Mashuk, Nasser, Abdullah B., Kamal Z., Zamli

    Published 2022
    “…For this reason, this paper has proposed a t-way strategy that implements an adaptive Dragonfly Algorithm (DA) to construct prioritized t-way test suites. …”
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    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm by Ba-Quttayyan, Bakr Salim Abdullah

    Published 2024
    “…The contributions of this study straddle research perspectives of enhancing Regression Testing with Particle Swarm-Artificial Bee Colony Algorithm, and practical perspectives by providing software testing practitioners the TCP framework that can facilitate and accelerate the production of high-quality software products by revealing faults early and reducing time, cost, and human efforts through automation.…”
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    Influences of Cost Factors Affecting Technical Performance of Local Government Projects in Nigeria: A Partial Least Square-Structural Equation Modeling (PLS-SEM) Approach by Gambo, Nuru, Said, Ilias, Ismail, Radzi

    Published 2016
    “…A Warp partial least square-structural equation modeling (PLS-SEM) software algorithm was used for the analysis of collected data. …”
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    Whole brain radiation therapy verification using 2D gamma analysis method by Zainodin, Nik Nurul Afina Wan

    Published 2020
    “…Furthermore, the accuracy of both algorithms was evaluated using EBT3 film by comparing the gamma index passing rate in a Verisoft software. …”
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    Variable Neighborhood Descent and Whale Optimization Algorithm for Examination Timetabling Problems at Universiti Malaysia Sarawak by Emily Sing Kiang, Siew

    Published 2025
    “…The model employs a two-level structure, where the first level uses standard soft constraints as the objective function to evaluate solution quality, while the second level dynamically adapts to faculty-specific preferences. A constructive algorithm was developed to generate an initial feasible solution, which was subsequently refined using two primary approaches to evaluate their efficiency: Iterative Threshold Pipe Variable Neighborhood Descent (IT-PVND), and a modified Whale Optimization Algorithm (WOA). …”
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    Factory simulation construction method and implementation of intelligent manufacturing by Zheng, Bin, Bai, Yan, Yang, Soo Siang, Tan, Ming Keng, Zhang, Jing Song

    Published 2025
    “…This paper expounds the construction method of factory simulation, including digital modeling, simulation parameter setting, advanced algorithm application and real-time data fusion. …”
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    Constrained clustering approach to aid in remodularisation of object-oriented software systems / Chong Chun Yong by Chong, Chun Yong

    Published 2016
    “…Effective execution of software maintenance requires knowledge of the detailed working of software. …”
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    Enhancement of Security Architecture for Smartcard Based Authentication Protocols by Mohammed, Lawan Ahmed

    Published 2004
    “…Further, the thesis shows how to systematically transform solutions that work in a model of idealized authenticated communications into solutions that are secure in the realistic setting of wired communication channels such as access control, and online transactions involving contact communication schemes. As with all software development, good design and engineering practices are important for software quality. …”
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    Analysis of Moderating Effect of Turnover Intention on the Relationship of Intrinsic Motivation and Employee Performance by Salim Alsouri Al Ali, Amna Rashid, Salahudin, Shahrul Nizam

    Published 2024
    “…The moderation effect analysis was conducted using SmartPLS software version 3.0. The model was constructed within the software, and the analysis was conducted in two stages. …”
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    A Hybrid Machine Learning and Optimisation-Based Model for Predicting the Success of Business-To-Consumer Software Development Projects in Indonesia by Setiawan, Rudi

    Published 2025
    “…Building on these findings, a predictive framework is constructed by integrating machine learning algorithms with advanced optimization and data handling strategies. …”
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