Software Maintenance and Evolution: A Systematic Review of Approaches and Techniques
Abstract
Software maintenance and evolution are critical aspects of the software engineering lifecycle, ensuring that systems remain functional, up-to-date, and aligned with user needs over time. This systematic review paper consolidates current research on the various approaches and techniques for software maintenance, including corrective, adaptive, perfective, and preventive maintenance. It explores the challenges faced in maintaining legacy systems, managing technical debt, and implementing changes without disrupting system stability. The paper also discusses emerging practices such as automated refactoring, software re-engineering, and the use of machine learning to predict maintenance needs. By analyzing trends in the field, the paper provides insights into the future direction of software maintenance, emphasizing the need for continuous adaptation in an increasingly complex software environment.
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