Machine learning (ML) techniques increase the effectiveness of software engineering (SE)
lifecycle activities. We systematically collected, quality-assessed, summarized, and …

Project management planning and assessment are of great significance in project
performance activities. Without a realistic and logical plan, it isn't easy to handle project …

Requirements management (RM) plays an important role in requirements engineering. The
development of machine learning (ML) is in full swing, and many ML software management …

Monitoring and control project work is both critical and challenging. The greatest asset of
any organization is its human resource that ensures the success to achieve the goals and …

Background: software engineering requirements are translation of the product needs or
features requested by customers and stakeholders. Due to the evolution of technologies …

Software engineering and data science require strong programming skills. Software
engineering focuses more on construction, functionality, and features, while software risk …

Companies frequently turn to project management systems for advice with the ongoing data
growth caused by stakeholders throughout a product life cycle. The team will be able to …

Software requirements are exposed to many changes during their software development life-
cycle. These changes namely additions, modifications or deletions are defined as …