Machine/deep learning for software engineering: A systematic literature review
Since 2009, the deep learning revolution, which was triggered by the introduction of
ImageNet, has stimulated the synergy between Software Engineering (SE) and Machine …
ImageNet, has stimulated the synergy between Software Engineering (SE) and Machine …
On the documentation of refactoring types
EA AlOmar, J Liu, K Addo, MW Mkaouer… - Automated Software …, 2022 - Springer
Commit messages are the atomic level of software documentation. They provide a natural
language description of the code change and its purpose. Messages are critical for software …
language description of the code change and its purpose. Messages are critical for software …
A Meta-Study of Software-Change Intentions
Every software system undergoes changes, for example, to add new features, fix bugs, or
refactor code. The importance of understanding software changes has been widely …
refactor code. The importance of understanding software changes has been widely …
A vision on intentions in software engineering
Intentions are fundamental in software engineering, but they are typically only implicitly
considered through different abstractions, such as requirements, use cases, features, or …
considered through different abstractions, such as requirements, use cases, features, or …
Commit classification into software maintenance activities: A systematic literature review
Commits represent an essential part of software development practices, serving as the
means for collaboration and management of software changes made to a software project's …
means for collaboration and management of software changes made to a software project's …
Automatic data-driven software change identification via code representation learning
T Heričko - Proceedings of the 27th International Conference on …, 2023 - dl.acm.org
Changes to a software project are inevitable as the software requires continuous
adaptations, improvements, and corrections throughout maintenance. Identifying the …
adaptations, improvements, and corrections throughout maintenance. Identifying the …
COLARE: Commit Classification via Fine-grained Context-aware Representation of Code Changes
Commit classification for maintenance activities is of critical importance for both industry and
academia. State-of-the-art approaches either treat code changes as plain text or rely on …
academia. State-of-the-art approaches either treat code changes as plain text or rely on …
Process anti-pattern detection–a case study
Anti-patterns are harmful phenomena repeatedly occurring, eg, in software development
projects. Though widely recognized and well-known, their descriptions are traditionally not fit …
projects. Though widely recognized and well-known, their descriptions are traditionally not fit …
Activity-Based Detection of (Anti-) Patterns: An Embedded Case Study of the Fire Drill
Background: Nowadays, expensive, error-prone, expert-based evaluations are needed to
identify and assess software process anti-patterns. Process artifacts cannot be automatically …
identify and assess software process anti-patterns. Process artifacts cannot be automatically …
[PDF][PDF] Commit classification into maintenance activities using aggregated semantic word embeddings of software change messages
Every change to a software repository (ie, commit) is described by a software developer
committing the change with a message written in natural language, indicating the purpose of …
committing the change with a message written in natural language, indicating the purpose of …