Analyzing stochastic algorithms for comprehensive performance and comparison across
diverse contexts is essential. By evaluating and adjusting algorithm effectiveness across a …

With the rapid development of smart technologies, the Internet of Vehicles (IoV) is
revolutionizing transportation and mobility. However, the complexity and interconnectedness …

We introduce MPLSandbox, an out-of-the-box multi-programming language sandbox
designed to provide unified and comprehensive feedback from compiler and analysis tools …

Memory allocators and runtime systems can leverage dynamic properties of heap
allocations–such as object lifetimes, hotness or access correlations–to improve performance …

The microservice architecture style has gained popularity due to its ability to fault isolation,
ease of scaling applications, and developer's agility. However, writing applications in the …

Performance analysis is essential for understanding the performance behaviors of parallel
programs and detecting performance bottlenecks. Whereas, complex interconnections …

Counterfactual reasoning explores what could have happened if the circumstances were
different from what actually occurred. As a crucial subtask, counterfactual story generation …

Finding the shortest path from a source vertex to any other vertices on a graph (single-
source shortest path, SSSP) is used in a wide range of applications. With the rapid …

Memory bloat frequently occurs in web applications. It affects system performance and may
even cause out‐of‐memory crashes. For web applications, testers often do performance …

Big data applications are widely adopted to mine valuable information from a tremendous
amount of industry data, which is commonly represented as a series of map-reduce …