Software Reusability Estimation based on Dynamic Metrics using Soft Computing Techniques

Duhan, Manju; Bhatia, Pradeep Kumar

doi:10.47839/ijc.21.2.2587

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…To implement the intelligent chatbot, the development environment chosen was DialogFlow (Dialogflow, 2024). DialogFlow allows for the creation of agents -modules for natural language understanding (NLP -Natural Language Processing).…”

Section: Resultsmentioning

confidence: 99%

Sustainable Information System for Enhancing Virtual Company Resilience Through Machine Learning in Smart City Socio-Economic Scenarios

Lipianina-Honcharenko,

Komar,

Melnyk

et al. 2024

Economics

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This paper introduces an innovative framework for the management of virtual companies in smart urban environments, with an emphasis on socio-economic resilience facilitated by Sustainable Information Systems. The system aims to equip virtual enterprises in smart cities with tools for robust operations amid socio-economic challenges. Its effectiveness is evidenced by improvements in investment risk assessment, business process simulation, and HR project management, enhancing efficiency and foresight. A key feature is predictive analytics for crisis demand forecasting, enabling swift market adjustments and strategic inventory management. It also helps identify alternative clients and suppliers, ensuring business continuity. Integrating machine learning and augmented reality, the system supports automation and strategic decision-making, significantly benefiting the e-commerce sector by addressing fluctuating demand, supply chain issues, and market adaptations during crises. The Sustainable Information System for Virtual Company Management in Smart Cities offers crucial support for e-businesses facing these socio-economic challenges, facilitating their navigation through turbulent times. Its meticulously designed architecture and functionalities make it a powerful instrument for assisting virtual companies in crisis conditions, fostering their sustainable growth within the socio-economic framework of smart urban settings. Comparative studies with existing models underscore this system’s superior efficiency and holistic approach, highlighting its contribution to enhancing the operational efficiency of virtual companies by 95%, reducing the time needed for critical activities like investment risk analysis and business process simulation, and bolstering the socio-economic resilience of smart cities against crises

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Section: Resultsmentioning

confidence: 99%

Sustainable Information System for Enhancing Virtual Company Resilience Through Machine Learning in Smart City Socio-Economic Scenarios

Lipianina-Honcharenko,

Komar,

Melnyk

et al. 2024

Economics

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“…The researcher further discussed many factors that affect it, for example, the programmer's experience, the development skills, the technology that has been used in the development process, testing availability, maintained guidelines of the software, the cost, and finally, the effort that is required to assess the reusability by the organization through the development process. Software reuse is applied in 5 to develop a mobile application system based on domain analysis 40 based their study on soft computing techniques to measure reusability. Many important attributes of reusability, and their metrics, are discussed by 41 .…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Towards improving aspect-oriented software reusability estimation

Magableh,

Ata,

Saifan

et al. 2024

Sci Rep

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Nowadays, large numbers of organizations may opt for Aspect-Oriented Programming (AOP), which is an enhancement to Object-Oriented Programming (OOP). This is due to the addition of a number of concepts that have assisted in the production of more flexible and reusable components. One of the most important elements added by AOP is software reuse, which is based on reusability attributes. These attributes indicate the possibility of reusing one or more components in the development of a new system. It is one of the most essential attributes to evaluate the quality of a system’s components. Thus far, little attention has been paid to the process of measuring AOP reusability, and it has not yet been standardized. The objective of the current study is to come up with a reasonable measurement for AOP software reuse, which is simultaneously a significant topic for researchers while offering several advantages for organizations. Although numerous models have been built to estimate the reusability of software, most of them are not dedicated to Aspect-Oriented Software (AOS). In this study, a model has been designed for AOS reusability estimation and measurement based on a new equation depending on five attributes that have a range of positive and negative impacts on AOS reusability. Three of those attributes, namely coupling, cohesion, and design size, have been included in previous studies. This study proposes complexity and generality as two new attributes to be considered. Each of these attributes was measured based on the metrics also proposed in this study. A new equation to calculate AOS reusability was constructed based on the most important reusability attributes and metrics. Seven aspect projects were employed as a case study to apply the proposed equation. After the proposed equation was applied to the selected projects, we obtained new values of reusability to compare with the values that resulted from applying the previous equation. The fact that new values emerged indicates that the proposed reusability metrics and attributes had a significant effect.

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Intelligent Information Technology for Identification of Remaining Defects in Software Products

Zasornova,

Hovorushchenko,

Fedula

et al. 2023

2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applicat

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Software Reusability Estimation based on Dynamic Metrics using Soft Computing Techniques

Cited by 4 publications

References 11 publications

Sustainable Information System for Enhancing Virtual Company Resilience Through Machine Learning in Smart City Socio-Economic Scenarios

Sustainable Information System for Enhancing Virtual Company Resilience Through Machine Learning in Smart City Socio-Economic Scenarios

Towards improving aspect-oriented software reusability estimation

Intelligent Information Technology for Identification of Remaining Defects in Software Products

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