Results 1 to 10 of about 168,901 (241)

Duplicate Bug Report Detection and Classification System Based on Deep Learning Technique

open access: yesIEEE Access, 2020
Duplicate bug report detection is a process of finding a duplicate bug report in the bug tracking system. This process is essential to avoid unnecessary work and rediscovery.
Ashima Kukkar   +5 more
doaj   +3 more sources

Automated software bug severity classification using ensemble machine learning scheme: A real case study. [PDF]

open access: yesPLoS ONE
Software bug report classification is one of the most significant processes in software development for determining the nature and severity of faults based on their causes and effects.
Mohammadreza Namdar   +3 more
doaj   +2 more sources

Research and Progress on Bug Report-oriented Bug Localization Techniques [PDF]

open access: yesJisuanji kexue, 2022
Software bug localization is an important task in bug fixing process.The bug report-oriented localization approaches typically use software bug reports that describe the phenomenon of bugs as queries,and source code as corpus.First,correlations between ...
NI Zhen, LI Bin, SUN Xiao-bing, LI Bi-xin, ZHU Cheng
doaj   +1 more source

A Deep-Learning-Based Bug Priority Prediction Using RNN-LSTM Neural Networks [PDF]

open access: yese-Informatica Software Engineering Journal, 2021
Context: Predicting the priority of bug reports is an important activity in software maintenance. Bug priority refers to the order in which a bug or defect should be resolved. A huge number of bug reports are submitted every day.
Hani Bani-Salameh   +2 more
doaj   +1 more source

A Graph Convolution Network-Based Bug Triage System to Learn Heterogeneous Graph Representation of Bug Reports

open access: yesIEEE Access, 2022
Many bugs and defects occur during software testing and maintenance. These bugs should be resolved as soon as possible, to improve software quality. However, bug triage aims to solve these bugs by assigning the reported bugs to an appropriate developer ...
Syed Farhan Alam Zaidi   +2 more
doaj   +1 more source

Improving Bug Localization With Effective Contrastive Learning Representation

open access: yesIEEE Access, 2023
Automated localization of buggy files can accelerate developers’ efficiency of software maintenance, improving the quality of software products.
Zhengmao Luo, Wenyao Wang, Caichun Cen
doaj   +1 more source

An approach of method‐level bug localization

open access: yesIET Software, 2022
Bug localization is an important field in software engineering research. The traditional bug localization approaches based on information retrieval separate words through lexical analysis.
Zhen Ni   +5 more
doaj   +1 more source

CaPBug-A Framework for Automatic Bug Categorization and Prioritization Using NLP and Machine Learning Algorithms

open access: yesIEEE Access, 2021
Bug reports facilitate software development teams in improving the quality of software. These reports include significant information related to problems encountered within a software, possible enhancement suggestions, and other potential issues.
Hafiza Anisa Ahmed   +2 more
doaj   +1 more source

An Extended Survey Concerning the Significance of Artificial Intelligence and Machine Learning Techniques for Bug Triage and Management

open access: yesIEEE Access, 2023
Bug reports are generated in large numbers during the software development processes in the software industry. The manual processing of these issues is usually time consuming and prone to errors, consequently delaying the entire software development ...
Razvan Bocu   +2 more
doaj   +1 more source

Using textual bug reports to predict the fault category of software bugs

open access: yesArray, 2022
Debugging is a time-consuming and expensive process. Developers have to select appropriate tools, methods and approaches in order to efficiently reproduce, localize and fix bugs.
Thomas Hirsch, Birgit Hofer
doaj   +1 more source

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