Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Kanade, Aditya"'
Autor:
Singh, Usneek, Cambronero, José, Gulwani, Sumit, Kanade, Aditya, Khatry, Anirudh, Le, Vu, Singh, Mukul, Verbruggen, Gust
Large language models (LLMs) can be leveraged to help with writing formulas in spreadsheets, but resources on these formulas are scarce, impacting both the base performance of pre-trained models and limiting the ability to fine-tune them. Given a cor
Externí odkaz:
http://arxiv.org/abs/2407.10657
Autor:
Arora, Daman, Sonwane, Atharv, Wadhwa, Nalin, Mehrotra, Abhav, Utpala, Saiteja, Bairi, Ramakrishna, Kanade, Aditya, Natarajan, Nagarajan
A common method to solve complex problems in software engineering, is to divide the problem into multiple sub-problems. Inspired by this, we propose a Modular Architecture for Software-engineering AI (MASAI) agents, where different LLM-powered sub-ag
Externí odkaz:
http://arxiv.org/abs/2406.11638
Autor:
Deshpande, Ajinkya, Agarwal, Anmol, Shet, Shashank, Iyer, Arun, Kanade, Aditya, Bairi, Ramakrishna, Parthasarathy, Suresh
LLMs have demonstrated significant potential in code generation tasks, achieving promising results at the function or statement level across various benchmarks. However, the complexities associated with creating code artifacts like classes, particula
Externí odkaz:
http://arxiv.org/abs/2405.01573
Existing evaluation benchmarks of language models of code (code LMs) focus almost exclusively on whether the LMs can generate functionally-correct code. In real-world software engineering, developers think beyond functional correctness. They have req
Externí odkaz:
http://arxiv.org/abs/2401.15963
Autor:
Wadhwa, Nalin, Pradhan, Jui, Sonwane, Atharv, Sahu, Surya Prakash, Natarajan, Nagarajan, Kanade, Aditya, Parthasarathy, Suresh, Rajamani, Sriram
As software projects progress, quality of code assumes paramount importance as it affects reliability, maintainability and security of software. For this reason, static analysis tools are used in developer workflows to flag code quality issues. Howev
Externí odkaz:
http://arxiv.org/abs/2309.12938
Autor:
Bairi, Ramakrishna, Sonwane, Atharv, Kanade, Aditya, C, Vageesh D, Iyer, Arun, Parthasarathy, Suresh, Rajamani, Sriram, Ashok, B., Shet, Shashank
Software engineering activities such as package migration, fixing errors reports from static analysis or testing, and adding type annotations or other specifications to a codebase, involve pervasively editing the entire repository of code. We formula
Externí odkaz:
http://arxiv.org/abs/2309.12499
Autor:
Jain, Naman, Gandhi, Shubham, Sonwane, Atharv, Kanade, Aditya, Natarajan, Nagarajan, Parthasarathy, Suresh, Rajamani, Sriram, Sharma, Rahul
Static analysis tools are traditionally used to detect and flag programs that violate properties. We show that static analysis tools can also be used to perturb programs that satisfy a property to construct variants that violate the property. Using t
Externí odkaz:
http://arxiv.org/abs/2307.12465
Language models of code (LMs) work well when the surrounding code provides sufficient context. This is not true when it becomes necessary to use types, functionality or APIs defined elsewhere in the repository or a linked library, especially those no
Externí odkaz:
http://arxiv.org/abs/2306.10763
Autor:
Gupta, Priyanshu, Khare, Avishree, Bajpai, Yasharth, Chakraborty, Saikat, Gulwani, Sumit, Kanade, Aditya, Radhakrishna, Arjun, Soares, Gustavo, Tiwari, Ashish
Developers expend a significant amount of time in editing code for a variety of reasons such as bug fixing or adding new features. Designing effective methods to predict code edits has been an active yet challenging area of research due to the divers
Externí odkaz:
http://arxiv.org/abs/2305.14129
Autor:
Joshi, Harshit, Ebenezer, Abishai, Cambronero, José, Gulwani, Sumit, Kanade, Aditya, Le, Vu, Radiček, Ivan, Verbruggen, Gust
Spreadsheets are a vital tool for end-user data management. Using large language models for formula authoring assistance in these environments can be difficult, as these models are expensive to train and challenging to deploy due to their size (up to
Externí odkaz:
http://arxiv.org/abs/2301.13779