Can GPT-4 replicate empirical software engineering research?

JT Liang, C Badea, C Bird, R DeLine, D Ford… - Proceedings of the …, 2024 - dl.acm.org
Empirical software engineering research on production systems has brought forth a better
understanding of the software engineering process for practitioners and researchers alike …

Towards a green quotient for software projects

R Mehra, VS Sharma, V Kaulgud, S Podder… - Proceedings of the 44th …, 2022 - dl.acm.org
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 …

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 …

Ensuring Dataset Accountability in Machine Learning: Insights from Software Engineering

V Kotagi, VK Nassa, D Patil, R Gadhave… - … and Informatics (IC3I …, 2024 - ieeexplore.ieee.org
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 …

The unsolvable problem or the unheard answer? a dataset of 24,669 open-source software conference talks

K Truong, C Miller, B Vasilescu, C Kästner - Proceedings of the 19th …, 2022 - dl.acm.org
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 …

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 …

Software Analytics for Supporting Practitioners in Bug Management

M Laiq - 2025 - diva-portal.org
Context: In large-scale software development, a large number of bug reports are submitted
during software development and maintenance. Practitioners need the ability to analyze this …

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 …

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 …

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 …