Open source software (OSS) is essential for modern society and, while substantial research has been done on individual (typically central) projects, only a limited understanding of the …
G Upadhyaya, H Rajan - … of the 40th international conference on …, 2018 - dl.acm.org
Popularity of data-driven software engineering has led to an increasing demand on the infrastructures to support efficient execution of tasks that require deeper source code …
We propose PASS, a O (n) algorithm for data reduction that is specifically aimed at preserving the semantics of time series data visualization in the form of line chart …
Many data-driven software engineering tasks such as discovering programming patterns, mining API specifications, etc., perform source code analysis over control flow graphs …
Abstract Motivation: Free Libre Open Source Software (FLOSS) has become a critical componentin numerous devices and applications. Despite its importance, it is not clear why …
Big data-driven transportation engineering has the potential to improve utilization of road infrastructure, decrease traffic fatalities, improve fuel consumption, and decrease …
Creating a scalable computational infrastructure to analyze the wealth of information contained in data repositories is difficult due to significant barriers in organizing, extracting …
Our newfound ability to analyze source code in massive software repositories such as GitHub has led to an uptick in data-driven solutions to software engineering problems …