Mining software insights: uncovering the frequently occurring issues in low-rating software applications

ND Khan, JA Khan, J Li, T Ullah, Q Zhao - PeerJ Computer Science, 2024 - peerj.com
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 …

Automatic software bug prediction using adaptive golden eagle optimizer with deep learning

R Siva, B Hariharan, N Premkumar - Multimedia Tools and Applications, 2024 - Springer
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 …

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) …

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 …

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 …

[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 …

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 …

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 …

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 …

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 …