Most of the time developers make extensive use of software tools in a software development process to support them in their day-to-day work. One of the first and most important phases is the design phase. Here tools a...
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This article establishes taxonomy for software testing projects, allowing the development team or testing personnel to identify the tests to which the project must be subjected for validation. The taxonomy is focused ...
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Business Process Management systems (BPMS) have emerged in the IT arena as cornerstone in the automation and orchestration of complex services for organizations. These systems manage critical information that is cruci...
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ISBN:
(纸本)9780986041952
Business Process Management systems (BPMS) have emerged in the IT arena as cornerstone in the automation and orchestration of complex services for organizations. These systems manage critical information that is crucial for the organizations. The potential cost and consequences of security threats could produce information loss for the reputation of organizations. Therefore, the early response regarding to the non-compliance of security requirement is a real necessity overall during the business process execution. Currently, an active response requires a human intervention with high know-how and expertise in both business process management and security. In this paper, we propose an initial work which presents an open-source proactive infrastructure for the automatic continuous monitoring and checking compliance of security requirements at runtime of business processes.
Dynamic risk assessment refers to a risk management framework where frequent updates of risk evaluation information are used to evaluate risk exposure,as close as possible to *** this paper,we present the incident obj...
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Dynamic risk assessment refers to a risk management framework where frequent updates of risk evaluation information are used to evaluate risk exposure,as close as possible to *** this paper,we present the incident object description exchange format extended model for dynamic risk *** format attempts to overcome the absence of integration and real-time communication between security systems and risk assessment *** model is based on the incident object definition exchange format,which is commonly used in the computer security incident response teams *** data model aims to facilitate a global vision of information systems risk by supplying real-time security events data to risk assessment tools based on renowned *** present a proof-of-concept scenario to demonstrate the usefulness of this integration and the proposed data model,and discuss the expected improvements.
The industrial supply chain networks basically capture the circulation of social resource, dominating the stability and efficiency of the industrial system. In this paper, we provide an empirical study of the topology...
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The industrial supply chain networks basically capture the circulation of social resource, dominating the stability and efficiency of the industrial system. In this paper, we provide an empirical study of the topology of smartphone supply chain network. The supply chain network is constructed using open online data. Our experimental results show that the smartphone supply chain network has small-world feature with scale-free degree distribution, in which a few high degree nodes play a key role in the function and can effectively reduce the communication cost. We also detect the community structure to find the basic functional unit. It shows that information communication between nodes is crucial to improve the resource utilization. We should pay attention to the global resource configuration for such electronic production management.
Purpose: The purpose of this paper is to design a system deployment model that integrates case-based agent technique to develop an eco-responsibility decision support tool for greening educational institutions toward ...
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Purpose: The purpose of this paper is to design a system deployment model that integrates case-based agent technique to develop an eco-responsibility decision support tool for greening educational institutions toward environmental responsibility. Design/methodology/approach: Data were collected through questionnaires distributed among a statistical population that comprised practitioners across educational institutions in Malaysia that implement green practices. The questionnaire measured the feasibility of the developed tool based on factors derived from the literature. Accordingly, descriptive, exploratory and factor analysis approach using statistical package for social sciences (SPSS) was used to test the feasibility of the developed tool. Findings: Results from descriptive analysis confirm the tool is feasible based on mean values that range from 4.1619 to 3.6508 on a five-point scale, indicating that the tool is effective in sustaining educational institutions going green. Besides, results from exploratory analysis verify the reliability of the tool based on the acceptable Cronbach’s alpha reliability coefficient score higher than 0.7 and Kaiser–Meyer–Olkin value being above 0.5. Finally, results from factor analysis reveal that the developed tool is usable, efficient, helpful, flexible and credible and supports educational institutions in going green at 88.44 per cent of the total variance, suggesting that the respondents are satisfied with the tool. Research limitations/implications: The sample population in this study comprises only practitioners from educational institutions in Malaysia. Theoretically, this research provides feasibility factors and associated items that can be used in evaluating developed information systems. Practical implications: Practically, this study develops an eco-responsibility decision support tool to facilitate green strategies and provides information on how practitioners in educational institutions can improve green growth. So
Infectious viruses are conveyed via respiratory droplets produced by an infected person when they speak, sneeze, or cough. So, to combat virus transmission, the World Health Organization (WHO) has imposed severe regul...
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In the field of image-based drug discovery, capturing the phenotypic response of cells to various drug treatments and perturbations is a crucial step. This process involves transforming high-throughput cellular images...
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In the field of image-based drug discovery, capturing the phenotypic response of cells to various drug treatments and perturbations is a crucial step. This process involves transforming high-throughput cellular images into quantitative representations for downstream analysis. However, existing methods require computationally extensive and complex multi-step procedures, which can introduce inefficiencies, limit generalizability, and increase potential errors. To address these challenges, we present PhenoProfiler, an innovative model designed to efficiently and effectively extract morphological representations, enabling the elucidation of phenotypic changes induced by treatments. PhenoProfiler is designed as an end-to-end tool that processes whole-slide multi-channel images directly into low-dimensional quantitative representations, eliminating the extensive computational steps required by existing methods. It also includes a multi-objective learning module to enhance robustness, accuracy, and generalization in morphological representation learning. PhenoProfiler is rigorously evaluated on large-scale publicly available datasets, including over 230,000 whole-slide multi-channel images in end-to-end scenarios and more than 8.42 million single-cell images in non-end-to-end settings. Across these benchmarks, PhenoProfiler consistently outperforms state-of-the-art methods by up to 20%, demonstrating substantial improvements in both accuracy and robustness. Furthermore, PhenoProfiler uses a tailored phenotype correction strategy to emphasize relative phenotypic changes under treatments, facilitating the detection of biologically meaningful signals. UMAP visualizations of treatment profiles demonstrate PhenoProfiler’s ability to effectively cluster treatments with similar biological annotations, thereby enhancing interpretability. These findings establish PhenoProfiler as a scalable, generalizable, and robust tool for phenotypic learning, offering transformative advancement
Developing security-critical applications is very difficult and the past has shown that many applications turned out to be erroneous after years of usage. For this reason it is desirable to have a sound methodology fo...
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