Zobrazeno 1 - 10
of 127
pro vyhledávání: '"CHIMALAKONDA, SRIDHAR"'
Autor:
Kumar, Jahnavi, Chimalakonda, Sridhar
Code review is a crucial process before deploying code to production, as it validates the code, provides suggestions for improvements, and identifies errors such as missed edge cases. In projects with regular production releases, the effort required
Externí odkaz:
http://arxiv.org/abs/2412.15676
With the increasing complexity of modern software and the demand for high performance, energy consumption has become a critical factor for developers and researchers. While much of the research community is focused on evaluating the energy consumptio
Externí odkaz:
http://arxiv.org/abs/2412.13555
Autor:
Mathai, Alex, Sedamaki, Kranthi, Das, Debeshee, Mathews, Noble Saji, Tamilselvam, Srikanth, Chimalakonda, Sridhar, Kumar, Atul
Machine Learning (ML) for software engineering (SE) has gained prominence due to its ability to significantly enhance the performance of various SE applications. This progress is largely attributed to the development of generalizable source code repr
Externí odkaz:
http://arxiv.org/abs/2411.14611
In the rapidly evolving landscape of modern data-driven technologies, software relies on large datasets and constant data center operations using various database systems to support computation-intensive tasks. As energy consumption in software syste
Externí odkaz:
http://arxiv.org/abs/2311.08961
Autor:
Das, Debeshee, Mathews, Noble Saji, Mathai, Alex, Tamilselvam, Srikanth, Sedamaki, Kranthi, Chimalakonda, Sridhar, Kumar, Atul
Learning effective representations of source code is critical for any Machine Learning for Software Engineering (ML4SE) system. Inspired by natural language processing, large language models (LLMs) like Codex and CodeGen treat code as generic sequenc
Externí odkaz:
http://arxiv.org/abs/2307.04693
Despite being proposed as early as 1959, COBOL (Common Business-Oriented Language) still predominantly acts as an integral part of the majority of operations of several financial, banking, and governmental organizations. To support the inevitable mod
Externí odkaz:
http://arxiv.org/abs/2306.04892
Autor:
Thangarajah, Kishanthan, Mathews, Noble, Pu, Michael, Nagappan, Meiyappan, Aafer, Yousra, Chimalakonda, Sridhar
Many applications are being written in more than one language to take advantage of the features that different languages provide such as native code support, improved performance, and language-specific libraries. However, there are few static analysi
Externí odkaz:
http://arxiv.org/abs/2305.10233
Background: The energy consumption of machine learning and its impact on the environment has made energy efficient ML an emerging area of research. However, most of the attention stays focused on the model creation and the training and inferencing ph
Externí odkaz:
http://arxiv.org/abs/2209.05258
Readme in GitHub repositories serves as a preliminary source of information, and thus helps developers in understanding about the projects, for reuse or extension. Different types of contextual and structural content, which we refer to as categories
Externí odkaz:
http://arxiv.org/abs/2206.10772
Game development-based approaches are increasingly used to design curricula that can engage students, as these can help them apply and practice learnt computer science concepts. However, it can become complex to develop a minimum working game or a pr
Externí odkaz:
http://arxiv.org/abs/2206.09894