论文标题
软件可维护性预测的软计算技术的系统文献综述：最新的，挑战和未来的方向
A Systematic Literature Review of Soft Computing Techniques for Software Maintainability Prediction: State-of-the-Art, Challenges and Future Directions
论文作者
论文摘要
该软件随着先进技术和方法的发明而迅速变化。响应不断变化的业务需求而快速成功地升级软件的能力比以往任何时候都重要。对于软件产品的长期管理，测量软件可维护性至关重要。软件可维护性预测的软计算技术通过提供精确预测软件可维护性，在软件维护过程中表现出了巨大的希望。为了更好地了解软计算技术在软件可维护性预测中的作用，我们旨在为软件可维护性预测提供对软计算技术的系统文献综述。首先，我们提供了软件可维护性的详细概述。在此之后，我们探讨了软件可维护性的基本原理以及采用软计算方法来预测软件可维护性的原因。后来，我们研究了软件可维护预测过程中采用的软计算方法。此外，我们讨论了与使用软计算技术预测软件可维护性相关的困难和潜在解决方案。最后，我们以一些有希望的未来方向结束了审查，以推动这一有前途的领域的进一步研究创新和发展。
The software is changing rapidly with the invention of advanced technologies and methodologies. The ability to rapidly and successfully upgrade software in response to changing business requirements is more vital than ever. For the long-term management of software products, measuring software maintainability is crucial. The use of soft computing techniques for software maintainability prediction has shown immense promise in software maintenance process by providing accurate prediction of software maintainability. To better understand the role of soft computing techniques for software maintainability prediction, we aim to provide a systematic literature review of soft computing techniques for software maintainability prediction. Firstly, we provide a detailed overview of software maintainability. Following this, we explore the fundamentals of software maintainability and the reasons for adopting soft computing methodologies for predicting software maintainability. Later, we examine the soft computing approaches employed in the process of software maintainability prediction. Furthermore, we discuss the difficulties and potential solutions associated with the use of soft computing techniques to predict software maintainability. Finally, we conclude the review with some promising future directions to drive further research innovations and developments in this promising area.
