Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big
data generated by IT Operations processes, particularly in cloud infrastructures, to provide …

With the growth of software systems, logs have become an important data to aid system
maintenance. Log-based anomaly detection is one of the most important methods for such …

Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …

In large-scale online service systems, software changes are inevitable and frequent. Due to
importing new code or configurations, changes are likely to incur incidents and destroy user …

Although tremendous efforts have been devoted to the quality assurance of online service
systems, in reality, these systems still come across many incidents (ie, unplanned …

Huge amounts of text data describing malfunction, defect, and safety hazard have been
recorded in power maintenance sectors. Effectively mining such text data, and thus …

In recent years, more and more traditional shrink-wrapped software is provided as 7x24
online services. Incidents (events that lead to service disruptions or outages) could affect …

Attracting and retaining newcomers is vital for the sustainability of an open-source software
project. However, it is difficult for newcomers to locate suitable development tasks, while …

Context: Machine learning software defect prediction is a promising field of software
engineering, attracting a great deal of attention from the research community; however, its …