The Virtual Developer

Bernaschina, Carlo; Falzone, Emanuele; Fraternali, Piero; Gonzalez, Sergio Luis Herrera

doi:10.1145/3340545

Cited by 8 publications

(2 citation statements)

References 24 publications

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“…Moreover, to alleviate maintainers' workload in pull request-related activities, researchers can explore the development of automatic code generation tools based on existing studies 44,45,46 , derive automatic code review tools on top of existing studies 47 , and help to process code comments automatically. Furthermore, they can also contribute to generating usable models that help maintainers find available contributors to engage in dealing with management tasks, such as the multiple-committer model adopted in the Linux kernel community 19 .…”

Section: Researchersmentioning

confidence: 99%

On the Sustainability of Deep Learning Projects: Maintainers’ Perspective

Han

Liu

et al. 2023

Preprint

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Deep learning (DL) techniques have grown in leaps and bounds in both academia and industry over the past few years. Despite the growth of DL projects, there has been little study on how DL projects evolve, whether maintainers in this domain encounter a dramatic increase in workload, and whether or not existing maintainers can guarantee the sustained development of projects. To address this gap, we perform an empirical study to investigate the sustainability of DL projects, understand maintainers’ workloads and workloads growth in DL projects, and compare them with traditional OSS projects. In this regard, we first investigate how DL projects grow, then, understand maintainers’ workload in DL projects, and explore the workload growth of maintainers as DL projects evolve. After that, we mine the relationships between maintainers’ activities and the sustainability of DL projects. Eventually, we compare it with traditional OSS projects. Our study unveils that although DL projects show increasing trends in most activities, maintainers’ workloads present a decreasing trend. Meanwhile, the proportion of workload maintainers conducted in DL projects is significantly lower than in traditional OSS projects. Moreover, there are positive and moderate correlations between the sustainability of DL projects and the number of maintainers’ releases, pushes, and merged pull requests. Our findings shed lights that help understand maintainers’ workload and growth trends in DL and traditional OSS projects, and also highlight actionable directions for organizations, maintainers, and researchers.

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Section: Researchersmentioning

confidence: 99%

On the Sustainability of Deep Learning Projects: Maintainers’ Perspective

Han

Liu

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Moreover, to alleviate maintainers' workload in pull request-related activities, researchers can explore the development of automatic code generation tools based on existing studies, [45][46][47] derive automatic code review tools on top of existing studies, 48 and help to process code comments automatically. Furthermore, they can also contribute to generating usable models that help maintainers find available contributors to engage in dealing with management tasks, such as the multiple-committer model adopted in the Linux kernel community.…”

Section: F I G U R E 1 1 Trends Of Maintainers' Average Workload On V...mentioning

confidence: 99%

On the sustainability of deep learning projects: Maintainers' perspective

Han,

Liu,

et al. 2023

J Software Evolu Process

View full text Add to dashboard Cite

Deep learning (DL) techniques have grown in leaps and bounds in both academia and industry over the past few years. Despite the growth of DL projects, there has been little study on how DL projects evolve, whether maintainers in this domain encounter a dramatic increase in workload and whether or not existing maintainers can guarantee the sustained development of projects. To address this gap, we perform an empirical study to investigate the sustainability of DL projects, understand maintainers' workloads and workloads growth in DL projects, and compare them with traditional open‐source software (OSS) projects. In this regard, we first investigate how DL projects grow, then, understand maintainers' workload in DL projects, and explore the workload growth of maintainers as DL projects evolve. After that, we mine the relationships between maintainers' activities and the sustainability of DL projects. Eventually, we compare it with traditional OSS projects. Our study unveils that although DL projects show increasing trends in most activities, maintainers' workloads present a decreasing trend. Meanwhile, the proportion of workload maintainers conducted in DL projects is significantly lower than in traditional OSS projects. Moreover, there are positive and moderate correlations between the sustainability of DL projects and the number of maintainers' releases, pushes, and merged pull requests. Our findings shed lights that help understand maintainers' workload and growth trends in DL and traditional OSS projects and also highlight actionable directions for organizations, maintainers, and researchers.

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Almost Rerere: An Approach for Automating Conflict Resolution from Similar Resolved Conflicts

Fraternali

Gonzalez

Tariq

2020

Lecture Notes in Computer Science

Self Cite

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Concurrent development requires the ability of reconciling conflicting updates to the code made independently. A specific case occurs when long living feature branches are integrated to a rapid changing code base. In this scenario, every integration test will require to manually resolve the same conflicts at every iteration. In this paper we propose a framework for automating the detection and resolution of conflicts in the code updated by distinct developers, one of which may be a code generator. The tool learns how to solve conflicts from past experience and applies resolutions, encoded as replacement regular expressions, to conflicts not seen before. Experiments show that the number of automatically resolved conflicts and the quality of the solution increase as the system acquires experience.

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The Virtual Developer

Cited by 8 publications

References 24 publications

On the Sustainability of Deep Learning Projects: Maintainers’ Perspective

On the Sustainability of Deep Learning Projects: Maintainers’ Perspective

On the sustainability of deep learning projects: Maintainers' perspective

Almost Rerere: An Approach for Automating Conflict Resolution from Similar Resolved Conflicts

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