Existing studies show that code summaries help developers understand and...
On-device recommender systems recently have garnered increasing attentio...
Though many deep learning (DL)-based vulnerability detection approaches ...
Software architecture has been an active research field for nearly four
...
Developers write logging statements to generate logs that provide run-ti...
Effective unit tests can help guard and improve software quality but req...
With the increasing reliance on Open Source Software, users are exposed ...
This paper presents a controllable text-to-video (T2V) diffusion model, ...
Software is constantly changing, requiring developers to perform several...
Programming screencasts (e.g., video tutorials on Youtube or live coding...
Modern perception systems of autonomous vehicles are known to be sensiti...
Vehicle control is one of the most critical challenges in autonomous veh...
Representing code changes as numeric feature vectors, i.e., code change
...
The usage of Python idioms is popular among Python developers in a forma...
Advances in Single-vehicle intelligence of automated driving have encoun...
Machine learning methods have been used to accelerate the molecule
optim...
This paper presents an automated driving system (ADS) data acquisition a...
Recently, Neural architecture search has achieved great success on
class...
In the software engineering community, deep learning (DL) has recently b...
Software developers have heavily used online question and answer platfor...
Stack Overflow has been heavily used by software developers to seek
prog...
Recent advancements in Vehicle-to-Everything communication technology ha...
On-device session-based recommendation systems have been achieving incre...
Contrastive learning (CL) has recently been demonstrated critical in
imp...
In this work, we propose a novel perspective to the problem of patch
cor...
Developers often need to decide which APIs to use for the functions bein...
Compared to other programming languages (e.g., Java), Python has more id...
Code summarization, the task of generating useful comments given the cod...
Software programming requires both API reference (know-what) knowledge a...
Recently, Transformer networks have achieved impressive results on a var...
Modern recommender systems operate in a fully server-based fashion. To c...
Just-In-Time defect prediction (JIT-DP) models can identify defect-induc...
Neural architecture-based recommender systems have achieved tremendous
s...
Vision Transformers have witnessed prevailing success in a series of vis...
Programming language documentation refers to the set of technical docume...
In high-level Autonomous Driving (AD) systems, behavioral planning is in...
Contrastive learning (CL) recently has received considerable attention i...
Computational Thinking (CT) has been investigated from different
perspec...
Employing Vehicle-to-Vehicle communication to enhance perception perform...
Session-based recommendation targets next-item prediction by exploiting ...
TODO comments are very widely used by software developers to describe th...
Although Cooperative Driving Automation (CDA) has attracted considerable...
Deep Neural Networks (DNN) are known to be vulnerable to adversarial sam...
Self-supervised learning (SSL), which can automatically generate ground-...
Context: Architecture Tactics (ATs) are architectural building blocks th...
Camera scene detection is among the most popular computer vision problem...
Source code summarization aims at generating concise descriptions of giv...
On Stack Overflow, users reuse 11,926,354 external links to share the
re...
Plot-based Graphic API recommendation (Plot2API) is an unstudied but
mea...
Learning representation for source code is a foundation of many program
...