Results 1 to 10 of about 1,163 (133)

Automatic Bug Triaging via Deep Reinforcement Learning

open access: yesApplied Sciences, 2022
Software maintenance and evolution account for approximately 90% of the software development process (e.g., implementation, testing, and maintenance).
Yong Liu   +5 more
doaj   +3 more sources

An artificial intelligence framework on software bug triaging, technological evolution, and future challenges: A review

open access: yesInternational Journal of Information Management Data Insights, 2023
The timely release of defect-free software and the optimization of development costs depend on efficient software bug triaging (SBT) techniques. SBT can also help in managing the vast information available in software bug repositories.
Naresh Kumar Nagwani, Jasjit S. Suri
doaj   +3 more sources

A Novel Deep-Learning-Based Bug Severity Classification Technique Using Convolutional Neural Networks and Random Forest with Boosting [PDF]

open access: yesSensors, 2019
The accurate severity classification of a bug report is an important aspect of bug fixing. The bug reports are submitted into the bug tracking system with high speed, and owing to this, bug repository size has been increasing at an enormous rate.
Ashima Kukkar   +5 more
doaj   +2 more sources

Classification and intuitionistic fuzzy set based software bug triaging techniques

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Software development is a modular approach involving multiple developers and multi-tasking teams working at different locations. A particular term in a software bug can belong to multiple modules and multiple developers’ profiles.
Rama Ranjan Panda, Naresh Kumar Nagwani
doaj   +3 more sources

Text mining meets community curation: a newly designed curation platform to improve author experience and participation at WormBase. [PDF]

open access: yesDatabase (Oxford), 2020
Biological knowledgebases rely on expert biocuration of the research literature to maintain up-to-date collections of data organized in machine-readable form.
Arnaboldi V   +5 more
europepmc   +3 more sources

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

Improving Bug Assignment and Developer Allocation in Software Engineering through Interpretable Machine Learning Models

open access: yesComputers, 2023
Software engineering is a comprehensive process that requires developers and team members to collaborate across multiple tasks. In software testing, bug triaging is a tedious and time-consuming process.
Mina Samir   +2 more
doaj   +1 more source

Machine Learning or Information Retrieval Techniques for Bug Triaging: Which is better? [PDF]

open access: yese-Informatica Software Engineering Journal, 2017
Bugs are the inevitable part of a software system. Nowadays, large software development projects even release beta versions of their products to gather bug reports from users.
Anjali Goyal, Neetu Sardana
doaj   +1 more source

APPLICATION OF EXPLAINABLE ARTIFICIAL INTELLIGENCE IN SOFTWARE BUG CLASSIFICATION

open access: yesInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2023
Fault management is an expensive process and analyzing data manually requires a lot of resources. Modern software bug tracking systems may be armed with automated bug report assignment functionality that facilitates bug classification or bug assignment ...
Łukasz Chmielowski   +2 more
doaj   +1 more source

NRFixer: Sentiment Based Model for Predicting the Fixability of Non-Reproducible Bugs [PDF]

open access: yese-Informatica Software Engineering Journal, 2017
Software maintenance is an essential step in software development life cycle. Nowadays, software companies spend approximately 45\% of total cost in maintenance activities.
Anjali Goyal, Neetu Sardana
doaj   +1 more source

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