Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Chimalakonda, Sridhar"'
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
Augmenting teaching with visualization can help students understand concepts better. Researchers have leveraged visualization to teach conventional mathematics some examples being spatial and origami visualizations. Apart from conventional mathematic
Externí odkaz:
http://arxiv.org/abs/2205.08845
The demand for reducing the energy consumption of location-based applications has increased in recent years. The abnormal battery-draining behavior of GPS makes it difficult for the developers to decide on battery optimization during the development
Externí odkaz:
http://arxiv.org/abs/2204.03858