Adaptive Software Engineering: Integrating AI-driven Techniques for Software Development

Abstract

The study “Impact of COVID-19 on the Factors Influencing On-Time Software Project Delivery: An Empirical Study” investigates the adaptive nature of software companies during the challenges posed by the COVID-19 pandemic. Despite numerous obstacles, the study reveals how these companies managed to deliver software projects on time, showcasing the resilience and adaptability of the software development process in the face of unprecedented circumstances. The second research study “Artificial Intelligence in Software Testing: A Systematic Review” focuses on the integration of AI-driven techniques for software development. This systematic review explores the role of artificial intelligence in software testing. It shows the increasing utilization of AI techniques in software engineering, particularly in testing processes. The study highlights the justification for incorporating AI-driven approaches. It also emphasizes the widespread adoption of AI techniques due to enhanced computer hardware capabilities and the abundance of available data. The third research study “Factors to Form Business Strategy for Online- Based Ride-Sharing Services” examines the marketing perspective within the context of Bangladesh. This study investigates the factors influencing the success of online-based ride-sharing services. The study emphasizes the significance of continuous user feedback and its integration into the software development process. It suggests that incorporating user insights enhances the success rate of the software. It also provides valuable insights for forming business strategies in the competitive ride-sharing industry. These three research studies collectively contribute to the theme of adaptive software engineering by addressing challenges posed by external factors, integrating AI-driven techniques in software testing, and exploring business strategies with a focus on user feedback and integration in the context of online-based ride-sharing services in Bangladesh.