A comprehensive survey on intelligent software reliability prediction

A comprehensive survey on intelligent software reliability prediction

연구 분야: Verification

학회: Discover Computing

The modern world is propelled by the evolution of software systems. The application of software systems is currently ubiquitous in areas such as process control, business, transportation, medical, housing and building automation, and government applications. Reliable software consistently performs its intended functions without failure, producing accurate and expected results under predefined conditions. Reliability in software is crucial because it impacts user trust, system performance, and overall software quality. In this context, we extensively surveyed 140 research papers from 2005 to 2024 in the domain of intelligent systems for software reliability prediction. This survey aimed to study and analyze the robust techniques for reliable software development used by different researchers. Additionally, we explored the advantages and limitations associated with software reliability prediction methods. We have also highlighted the challenges involved in SRP and examined suggested strategies aimed at enhancing these predictions. After a comparative analysis, we found that the hybrid methods provided the best results for software reliability prediction. This in turn would help to gain a competitive advantage in the market, in developing high-quality software.