Performance bugs are often hard to detect due to their non fail-stop symptoms. Existing
debugging techniques can only detect performance bugs with known patterns (eg, inefficient …

Producing a variant of code is highly challenging, particularly for individuals unfamiliar with
programming. This demonstration introduces a novel use of generative AI to aid end-users …

Microservice (MS) architecture has become a popular paradigm in software engineering and
has been embraced in the industry (eg, Amazon, Netflix) for cloud-based applications with …

Reducing energy consumption of IT systems is fundamentally important for saving cost and
reducing CO2 emissions. We explain the limits of pure artificial intelligence/machine …

The task of tuning parameters for optimizing performance or other metrics of interest such as
energy, variability, etc. can be resource and time consuming. Presence of a large parameter …

Widely used software systems such as video encoders are by necessity highly configurable,
with hundreds or even thousands of options to choose from. Their users often have a hard …

Linux kernels are used in a wide variety of appliances, many of them having strong
requirements on the kernel size due to constraints such as limited memory or instant boot …

Automatic configuration tuning helps users who intend to improve software performance.
However, the auto-tuners are limited by the huge configuration search space. More …

Robotic systems have subsystems with a combinatorially large configuration space and
hundreds or thousands of possible software and hardware configuration options interacting …

Highly configurable systems enable customers to flexibly configure the systems in diverse
deployment environments. The flexibility of configurations also poses challenges for …