Can GPT-4 replicate empirical software engineering research?
Empirical software engineering research on production systems has brought forth a better
understanding of the software engineering process for practitioners and researchers alike …
understanding of the software engineering process for practitioners and researchers alike …
Towards a green quotient for software projects
As sustainability takes center stage across businesses, green and energy-efficient choices
are more crucial than ever. While it is becoming increasingly evident that software and the …
are more crucial than ever. While it is becoming increasingly evident that software and the …
Nalanda: a socio-technical graph platform for building software analytics tools at enterprise scale
C Maddila, S Shanbhogue, A Agrawal… - Proceedings of the 30th …, 2022 - dl.acm.org
Software development is information-dense knowledge work that requires collaboration with
other developers and awareness of artifacts such as work items, pull requests, and file …
other developers and awareness of artifacts such as work items, pull requests, and file …
Ensuring Dataset Accountability in Machine Learning: Insights from Software Engineering
Machine learning is facing a crisis of accountability. On some tasks, deep learning can
match or surpass human performance. It is extensive This work may be reproduced in whole …
match or surpass human performance. It is extensive This work may be reproduced in whole …
The unsolvable problem or the unheard answer? a dataset of 24,669 open-source software conference talks
Talks at practitioner-focused open-source software conferences are a valuable source of
information for software engineering researchers. They provide a pulse of the community …
information for software engineering researchers. They provide a pulse of the community …
Software engineering for data mining (ml-enabled) software applications
S Saeed, MM Abubakar… - 2021 9th International …, 2021 - ieeexplore.ieee.org
As the data increase keeps on getting more extensive due to technology evolvement from
the rational database, online transaction, cloud computing, data warehouse to big data …
the rational database, online transaction, cloud computing, data warehouse to big data …
Recommender Systems for DevOps
CS Maddila - 2022 - research.tudelft.nl
The software development life cycle (SDLC) for a developer has increased in complexity
and scale. With the advent of DevOps processes, the gap between development and …
and scale. With the advent of DevOps processes, the gap between development and …
Nalanda: A Socio-Technical Graph for Building Software Analytics Tools at Enterprise Scale
C Maddila, S Shanbhogue, A Agrawal… - arxiv preprint arxiv …, 2021 - arxiv.org
Software development is information-dense knowledge work that requires collaboration with
other developers and awareness of artifacts such as work items, pull requests, and files …
other developers and awareness of artifacts such as work items, pull requests, and files …
Documenting evidence of a replication of 'analyze this! 145 questions for data scientists in software engineering'
X Yang, T Menzies - Proceedings of the 29th ACM Joint Meeting on …, 2021 - dl.acm.org
Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference
and Symposium on the Foundations of Softwa Page 1 Documenting Evidence of a Replication …
and Symposium on the Foundations of Softwa Page 1 Documenting Evidence of a Replication …