[HTML][HTML] An artificial intelligence framework on software bug triaging, technological evolution, and future challenges: A review
NK Nagwani, JS Suri - … Journal of Information Management Data Insights, 2023 - Elsevier
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 …
on efficient software bug triaging (SBT) techniques. SBT can also help in managing the vast …
Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a …
M Al-Maini, M Maindarkar, GD Kitas… - Rheumatology …, 2023 - Springer
The challenges associated with diagnosing and treating cardiovascular disease
(CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms …
(CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms …
A new subspace clustering strategy for AI-based data analysis in IoT system
Z Cui, X Jing, P Zhao, W Zhang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet-of-Things (IoT) technology is widely used in various fields. In the Earth
observation system, hyperspectral images (HSIs) are acquired by hyperspectral sensors and …
observation system, hyperspectral images (HSIs) are acquired by hyperspectral sensors and …
A comprehensive investigation of the role of imbalanced learning for software defect prediction
Q Song, Y Guo, M Shepperd - IEEE Transactions on Software …, 2018 - ieeexplore.ieee.org
Context: Software defect prediction (SDP) is an important challenge in the field of software
engineering, hence much research work has been conducted, most notably through the use …
engineering, hence much research work has been conducted, most notably through the use …
Improved bat algorithm with optimal forage strategy and random disturbance strategy
Bat algorithm is a novel bio-inspired stochastic optimisation algorithm. However, due to the
limited exploration and exploitation capabilities, the performance is not well when dealing …
limited exploration and exploitation capabilities, the performance is not well when dealing …
Economics of artificial intelligence in healthcare: diagnosis vs. treatment
NN Khanna, MA Maindarkar, V Viswanathan… - Healthcare, 2022 - mdpi.com
Motivation: The price of medical treatment continues to rise due to (i) an increasing
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …
Deeptriage: Exploring the effectiveness of deep learning for bug triaging
For a given software bug report, identifying an appropriate developer who could potentially
fix the bug is the primary task of bug triaging. Automatic bug triaging is formulated as a …
fix the bug is the primary task of bug triaging. Automatic bug triaging is formulated as a …
Query expansion based on crowd knowledge for code search
As code search is a frequent developer activity in software development practices, improving
the performance of code search is a critical task. In the text retrieval based search …
the performance of code search is a critical task. In the text retrieval based search …
Towards more accurate severity prediction and fixer recommendation of software bugs
Due to the unavoidable bugs appearing in the most of the software systems, bug resolution
has become one of the most important activities in software maintenance. For large-scale …
has become one of the most important activities in software maintenance. For large-scale …
Not all bugs are the same: Understanding, characterizing, and classifying bug types
Modern version control systems, eg, GitHub, include bug tracking mechanisms that
developers can use to highlight the presence of bugs. This is done by means of bug reports …
developers can use to highlight the presence of bugs. This is done by means of bug reports …