Microbenchmarking is a widely used form of performance testing in Java software. A
microbenchmark repeatedly executes a small chunk of code while collecting measurements …

This paper describes some of the challenges and opportunities when deploying static and
dynamic analysis at scale, drawing on the authors' experience with the Infer and Sapienz …

Software engineering research is evolving and papers are increasingly based on empirical
data from a multitude of sources, using statistical tests to determine if and to what degree …

We introduce a bi-objective effort estimation algorithm that combines Confidence Interval
Analysis and assessment of Mean Absolute Error. We evaluate our proposed algorithm on …

App developers would like to understand the impact of their own and their competitors'
software releases. To address this we introduce Causal Impact Release Analysis for app …

Replication studies increase our confidence in previous results when the findings are similar
each time, and help mature our knowledge by addressing both internal and external validity …

Fairness is a crucial non-functional requirement of modern software systems that rely on the
use of Artificial Intelligence (AI) to make decisions regarding our daily lives in application …

Software effort estimation studies still suffer from discordant empirical results (ie, conclusion
instability) mainly due to the lack of rigorous benchmarking methods. So far only one …

In this paper we provide empirical evidence that the rating that an app attracts can be
accurately predicted from the features it offers. Our results, based on an analysis of 11,537 …

The combination of scale and distribution in software projects makes the onboarding of new
developers problematic. To the best of our knowledge, there is no research on the …