Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans

A Dai, D Ritchie, M Bokeloh, S Reed… - Proceedings of the …, 2018 - openaccess.thecvf.com
We introduce ScanComplete, a novel data-driven approach for taking an incomplete 3D
scan of a scene as input and predicting a complete 3D model along with per-voxel semantic …

A deep learning model for estimating story points

M Choetkiertikul, HK Dam, T Tran… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Although there has been substantial research in software analytics for effort estimation in
traditional software projects, little work has been done for estimation in agile projects …

Bug characteristics in open source software

L Tan, C Liu, Z Li, X Wang, Y Zhou, C Zhai - Empirical software …, 2014 - Springer
To design effective tools for detecting and recovering from software failures requires a deep
understanding of software bug characteristics. We study software bug characteristics by …

Combining text mining and data mining for bug report classification

Y Zhou, Y Tong, R Gu, H Gall - Journal of Software: Evolution …, 2016 - Wiley Online Library
Bug reports represent an important information source for software construction.
Misclassification of these reports inevitably introduces bias. Manual examinations can help …

Deeptriage: Exploring the effectiveness of deep learning for bug triaging

S Mani, A Sankaran, R Aralikatte - Proceedings of the ACM India joint …, 2019 - dl.acm.org
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 …

Predicting bug-fixing time: an empirical study of commercial software projects

H Zhang, L Gong, S Versteeg - 2013 35th International …, 2013 - ieeexplore.ieee.org
For a large and evolving software system, the project team could receive many bug reports
over a long period of time. It is important to achieve a quantitative understanding of bug …

Challenges and opportunities for software change request repositories: a systematic mapping study

YC Cavalcanti, PA da Mota Silveira Neto… - Journal of Software …, 2014 - Wiley Online Library
Software maintenance starts as soon as the first artifacts are delivered and is essential for
the success of the software. However, keeping maintenance activities and their related …

Characterizing and predicting blocking bugs in open source projects

H Valdivia Garcia, E Shihab - … of the 11th working conference on mining …, 2014 - dl.acm.org
As software becomes increasingly important, its quality becomes an increasingly important
issue. Therefore, prior work focused on software quality and proposed many prediction …

CNN-based automatic prioritization of bug reports

Q Umer, H Liu, I Illahi - IEEE Transactions on Reliability, 2019 - ieeexplore.ieee.org
Software systems often receive a large number of bug reports. Triagers read through such
reports and assign different priorities to different reports so that important and urgent bugs …

Automated identification and qualitative characterization of safety concerns reported in uav software platforms

A Di Sorbo, F Zampetti, A Visaggio, M Di Penta… - ACM Transactions on …, 2023 - dl.acm.org
Unmanned Aerial Vehicles (UAVs) are nowadays used in a variety of applications. Given the
cyber-physical nature of UAVs, software defects in these systems can cause issues with …