1 Retrieval Number:100.1/ijsepm.B76520712223 DOI:10.54105/ijsepm.B7652.073223 Journal Website: www.ijsepm.latticescipub.com Published By: Lattice Science Publication (LSP) © Copyright: All rights reserved. A Comparative Study of Different Software Complexity Metrics in Measuring Software Interoperab

Indian Journal of Software Engineering and Project Management Pub Date : 2023-07-30 DOI:10.54105/ijsepm.b7652.073223

Udara Rangika Herath, Dilshan De Silva, Virajini Godapitiya, Piumi Navoda Wanni Arachchige, Heshan Kotuwe Gedara, Rashmi Premadasa

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Abstract

Software interoperability is crucial for organizations that rely on multiple software systems to perform their operations. However, due to the complexity and variety of software systems, ensuring interoperability can be difficult. Measuring software complexity metrics can be used to identify potential problems and assess how well different interoperability strategies work. In this study, we investigated and compared the effectiveness of different software complexity metrics in measuring software interoperability. We used statistical methods to analyze data collected from a sample of software systems. The results of our study show that certain metrics, such as coupling and cohesion, are more effective than others in measuring software interoperability. By selecting appropriate metrics, developers can ensure better productivity, lower costs, and more adaptable use of software systems. The findings of this study have implications for the creation of software and can guide businesses in choosing the right criteria to achieve software interoperability.

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软件互操作性对于依赖多个软件系统来执行其操作的组织是至关重要的。然而，由于软件系统的复杂性和多样性，确保互操作性可能是困难的。测量软件复杂性度量可以用来识别潜在的问题，并评估不同的互操作性策略的工作效果。在本研究中，我们调查并比较了不同软件复杂性度量在度量软件互操作性方面的有效性。我们使用统计方法来分析从软件系统样本中收集的数据。我们的研究结果表明，某些度量，例如耦合和内聚，在度量软件互操作性方面比其他度量更有效。通过选择适当的度量标准，开发人员可以确保更好的生产力、更低的成本和更适应性的软件系统使用。这项研究的发现对软件的创建具有启示意义，并且可以指导企业选择正确的标准来实现软件互操作性。

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Indian Journal of Software Engineering and Project Management

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