Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans
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 …
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
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 …
traditional software projects, little work has been done for estimation in agile projects …
Bug characteristics in open source software
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 …
understanding of software bug characteristics. We study software bug characteristics by …
Combining text mining and data mining for bug report classification
Bug reports represent an important information source for software construction.
Misclassification of these reports inevitably introduces bias. Manual examinations can help …
Misclassification of these reports inevitably introduces bias. Manual examinations can help …
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 …
Predicting bug-fixing time: an empirical study of commercial software projects
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 …
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 …
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 …
issue. Therefore, prior work focused on software quality and proposed many prediction …
CNN-based automatic prioritization of bug reports
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 …
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
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 …
cyber-physical nature of UAVs, software defects in these systems can cause issues with …