首页|Researchers from ITMO University Describe Findings in Software Engineering (Review of ways to apply machine learning methods in software engineering)
Researchers from ITMO University Describe Findings in Software Engineering (Review of ways to apply machine learning methods in software engineering)
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A new study on software engineering is now available. According to news originating from ITMO University by NewsRx correspondents, research stated, “This article reviews the integration of machine learning (ML) techniques into Software Engineering (SE) across various phases of the software development life cycle (SDLC).” Our news journalists obtained a quote from the research from ITMO University: “The purpose is to investigate the applications of ML in SE, analyze its methodologies, present findings, and draw conclusions regarding its impact. The study categorized ML applications in SE and assessed the performance of various ML algorithms. Authors identified ML applications in SDLC phases, including requirements analysis, design, implementation, testing, and maintenance. ML algorithms, such as supervised and unsupervised learning, are employed for tasks like software requirement identification, design pattern recognition, code generation, and automated testing. In summary, we find that ML-based techniques are experiencing a substantial surge in adoption within the field of software engineering. Nevertheless, it is evident that substantial endeavors are needed to establish thorough comparisons and synergies among these approaches, perform meaningful evaluations grounded in detailed real-world implementations that are applicable to industrial software development.”
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