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Ganesh Nalawade

dblp:346/4436 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
0009-0004-9025-9434ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
2 papers
Program synthesis and code generation · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program synthesis and code generation
code generation with language models
0.812024
Ansible Lightspeed: A Code Generation Service for IT Automation · ASE 2024
Program synthesis and code generation
code generation from natural language
0.712023
Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models · DAC 2023

Methods — techniques the papers use, named apart from their topics

large language model · 2.1
YearPublicationVenuePosition
2024 Ansible Lightspeed: A Code Generation Service for IT Automation
abstract
The availability of Large Language Models (LLMs) which can generate code, has made it possible to create tools that improve developer productivity. Integrated development environments or IDEs which developers use to write software are often used as an interface to interact with LLMs. Although many such tools have been released, almost all of them focus on general-purpose programming languages. Domain-specific languages, such as those crucial for Information Technology (IT) automation, have not received much attention. Ansible is one such YAML-based IT automation-specific language. Ansible Lightspeed is an LLM-based service designed explicitly to generate Ansible YAML, given natural language prompt.
Priyam Sahoo, Saurabh Pujar, Ganesh Nalawade, Richard Genhardt, Louis Mandel, Luca Buratti
ASE3
2023 Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models
abstract
The recent improvement in code generation capabilities due to the use of large language models has mainly benefited general purpose programming languages. Domain specific languages, such as the ones used for IT Automation, received far less attention, despite involving many active developers and being an essential component of modern cloud platforms. This work focuses on the generation of Ansible YAML, a widely used markup language for IT Automation. We present Ansible Wisdom, a natural-language to Ansible YAML code generation tool, aimed at improving IT automation productivity. Results show that Ansible Wisdom can accurately generate Ansible script from natural language prompts with performance comparable or better than existing state of the art code generation models.
Saurabh Pujar, Luca Buratti, Nicolas Dupuis, Burn L. Lewis, Sahil Suneja, Atin Sood, Ganesh Nalawade, Alessandro Morari, Ruchir Puri
DAC8