Automated pruning for deep neural network compression

F Manessi, A Rozza, S Bianco… - 2018 24th …, 2018 - ieeexplore.ieee.org
In this work we present a method to improve the pruning step of the current state-of-the-art
methodology to compress neural networks. The novelty of the proposed pruning technique …

Untangling composite commits using program slicing

W Muylaert, C De Roover - 2018 IEEE 18th International …, 2018 - ieeexplore.ieee.org
Composite commits are a common mistake in the use of version control software. A
composite commit groups many unrelated tasks, rendering the commit difficult for …

Linking source code to untangled change intents

X Liu, LG Huang, C Li, V Ng - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Previous work [13] suggests that tangled changes (ie, different change intents aggregated in
one single commit message) could complicate tracing to different change tasks when …

[图书][B] Learning code transformations from repositories

G Dotzler - 2018 - opus4.kobv.de
Library updates, program errors, and maintenance tasks in general force developers to
apply the same code change to different locations within their projects. If the locations are …

Automatic vulnerability detection and repair

S MA - 2018 - ink.library.smu.edu.sg
Vulnerability becomes a major threat to the security of many systems, including computer
systems (eg, Windows and Linux) and mobile systems (eg, Android and iOS). Attackers can …

Almost-Rerere: An approach for automating conflict resolution from similar resolved conflicts

M TARIQ - 2018 - politesi.polimi.it
Abstract Model-Driven Software Engineering provides tools to help developers in the
creation process of complex applications. A developer, due to the continuous updates of the …

[引用][C] Identifying Reasons for Software Changes Using Survey