Mining software insights: uncovering the frequently occurring issues in low-rating software applications
In today's digital world, app stores have become an essential part of software distribution,
providing customers with a wide range of applications and opportunities for software …
providing customers with a wide range of applications and opportunities for software …
Automatic software bug prediction using adaptive golden eagle optimizer with deep learning
In the software maintenance and development process, the software bug detection is an
essential problem because it related with the complete software successes. So, the earlier …
essential problem because it related with the complete software successes. So, the earlier …
BuggIn: Automatic Intrinsic Bugs Classification Model using NLP and ML
P Bhandari, G Rodríguez-Pérez - … Models and Data Analytics in Software …, 2023 - dl.acm.org
Recent studies have shown that bugs can be categorized into in-trinsic and extrinsic types.
Intrinsic bugs can be backtracked to specific changes in the version control system (VCS) …
Intrinsic bugs can be backtracked to specific changes in the version control system (VCS) …
Graph-Driven Exploration of Issue Handling Schemes in Software Projects
B Dobrzyński, J Sosnowski - Applied Sciences, 2024 - mdpi.com
The Issue Tracking System (ITS) repositories are rich sources of software development
documentation that are useful in assessing the status and quality of software projects. An …
documentation that are useful in assessing the status and quality of software projects. An …
Advancing intrinsic and non-intrinsic bug classification with NLP, machine learning, and few-shot prompt engineering
P Bhandari - 2024 - open.library.ubc.ca
Bug classification is a pivotal approach in analyzing bugs, streamlining debugging
processes, and facilitating analysis. Recent studies have shown that bugs can be …
processes, and facilitating analysis. Recent studies have shown that bugs can be …
[PDF][PDF] FSDP: Frequent Software Defects Prediction Based on Defect Correlation Learning for Quality Software Development.
SS Reddy, S Pabboju - International Journal of Intelligent Engineering & …, 2024 - inass.org
Software has become an essential and important part of every domain system. Developing
quality software is critical to maintaining a stable and secure system. Most of the existing …
quality software is critical to maintaining a stable and secure system. Most of the existing …
Automated Assignment and Classification of Software Issues
B Tabak - arXiv preprint arXiv:2307.00009, 2023 - arxiv.org
Software issues contain units of work to fix, improve or create new threads during the
development and facilitate communication among the team members. Assigning an issue to …
development and facilitate communication among the team members. Assigning an issue to …
Enhancing automated bug report analysis through advanced neural language models
G Long - 2024 - repository.lboro.ac.uk
The recent advances of machine learning, in particular neural language models, has excited
significant growth on a few software engineering research fields. Bug report analysis is one …
significant growth on a few software engineering research fields. Bug report analysis is one …
Rand-Index Target Projective Gradient Deep Belief Network for Software Fault Prediction
TS Kumar, B Booba - Journal of Electrical Systems, 2024 - search.proquest.com
Predicting defective software modules before testing is a valuable operation that reduces
time and cost of software testing. Source code fault prediction plays a vital role in improving …
time and cost of software testing. Source code fault prediction plays a vital role in improving …
Predviđanje pogrešaka izvornoga kôda zasnovano na otkrivanju anomalija korištenjem semantičkih značajki izlučenih primjenom autoenkodera na leksičke …
P Afrić - 2023 - dr.nsk.hr
Sažetak Cilj predviđanja pogrešaka u izvornom programskom kôdu je otkrivanje
neispravnih programskih modula kako bi se što bolje alocirali ograničeni resursi za …
neispravnih programskih modula kako bi se što bolje alocirali ograničeni resursi za …