Zobrazeno 1 - 10
of 222
pro vyhledávání: '"Mockus, Audris"'
Determining the stage of decomposition (SOD) is crucial for estimating the postmortem interval and identifying human remains. Currently, labor-intensive manual scoring methods are used for this purpose, but they are subjective and do not scale for th
Externí odkaz:
http://arxiv.org/abs/2408.10414
Autor:
Jahanshahi, Mahmoud, Mockus, Audris
Publikováno v:
2024 21st International Conference on Mining Software Repositories (MSR '24)
In Open Source Software, the source code and any other resources available in a project can be viewed or reused by anyone subject to often permissive licensing restrictions. In contrast to some studies of dependency-based reuse supported via package
Externí odkaz:
http://arxiv.org/abs/2312.09370
Autor:
Malviya-Thakur, Addi, Milewicz, Reed, Paganini, Lavinia, Mahmoud, Ahmed Samir Imam, Mockus, Audris
The proliferation of open-source scientific software for science and research presents opportunities and challenges. In this paper, we introduce the SciCat dataset -- a comprehensive collection of Free-Libre Open Source Software (FLOSS) projects, des
Externí odkaz:
http://arxiv.org/abs/2312.06382
Autor:
Mahmoud, Ahmed Samir Imam, Dey, Tapajit, Nolte, Alexander, Mockus, Audris, Herbsleb, James D.
Background: Hackathons have become popular events for teams to collaborate on projects and develop software prototypes. Most existing research focuses on activities during an event with limited attention to the evolution of the hackathon code. Aim: W
Externí odkaz:
http://arxiv.org/abs/2207.01015
With the advent of open source software, a veritable treasure trove of previously proprietary software development data was made available. This opened the field of empirical software engineering research to anyone in academia. Data that is mined fro
Externí odkaz:
http://arxiv.org/abs/2204.08108
Semantic segmentation is a challenging computer vision task demanding a significant amount of pixel-level annotated data. Producing such data is a time-consuming and costly process, especially for domains with a scarcity of experts, such as medicine
Externí odkaz:
http://arxiv.org/abs/2202.11900
Annotating images for semantic segmentation requires intense manual labor and is a time-consuming and expensive task especially for domains with a scarcity of experts, such as Forensic Anthropology. We leverage the evolving nature of images depicting
Externí odkaz:
http://arxiv.org/abs/2105.09975
Background: Hackathons have become popular events for teams to collaborate on projects and develop software prototypes. Most existing research focuses on activities during an event with limited attention to the evolution of the code brought to or cre
Externí odkaz:
http://arxiv.org/abs/2103.01145
Autor:
Ma, Yuxing, Dey, Tapajit, Bogart, Chris, Amreen, Sadika, Valiev, Marat, Tutko, Adam, Kennard, David, Zaretzki, Russell, Mockus, Audris
Open source software (OSS) is essential for modern society and, while substantial research has been done on individual (typically central) projects, only a limited understanding of the periphery of the entire OSS ecosystem exists. For example, how ar
Externí odkaz:
http://arxiv.org/abs/2010.16196
Background: Data mining and analyzing of public Git software repositories is a growing research field. The tools used for studies that investigate a single project or a group of projects have been refined, but it is not clear whether the results obta
Externí odkaz:
http://arxiv.org/abs/2008.03439