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of 6
pro vyhledávání: '"Parthasarathy, Suresh"'
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
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
Autor:
Parthasarathy, Suresh, Pattanaik, Lincy, Khatry, Anirudh, Iyer, Arun, Radhakrishna, Arjun, Rajamani, Sriram, Raza, Mohammad
We propose a new approach to extracting data items or field values from semi-structured documents. Examples of such problems include extracting passenger name, departure time and departure airport from a travel itinerary, or extracting price of an it
Externí odkaz:
http://arxiv.org/abs/2204.05021
Autor:
Jain, Naman, Vaidyanath, Skanda, Iyer, Arun, Natarajan, Nagarajan, Parthasarathy, Suresh, Rajamani, Sriram, Sharma, Rahul
Large pre-trained language models such as GPT-3, Codex, and Google's language model are now capable of generating code from natural language specifications of programmer intent. We view these developments with a mixture of optimism and caution. On th
Externí odkaz:
http://arxiv.org/abs/2112.02969