Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Rigby, Peter C."'
Autor:
Abreu, Rui, Murali, Vijayaraghavan, Rigby, Peter C, Maddila, Chandra, Sun, Weiyan, Ge, Jun, Chinniah, Kaavya, Mockus, Audris, Mehta, Megh, Nagappan, Nachiappan
Release engineering has traditionally focused on continuously delivering features and bug fixes to users, but at a certain scale, it becomes impossible for a release engineering team to determine what should be released. At Meta's scale, the responsi
Externí odkaz:
http://arxiv.org/abs/2410.06351
Autor:
Maddila, Chandra, Ghorbani, Negar, Jabre, Kosay, Murali, Vijayaraghavan, Kim, Edwin, Thakkar, Parth, Laptev, Nikolay Pavlovich, Harman, Olivia, Hsu, Diana, Abreu, Rui, Rigby, Peter C.
SqlCompose brings generative AI into the data analytics domain. SQL is declarative, has formal table schemas, and is often written in a non-linear manner. We address each of these challenges and develop a set of models that shows the importance of ea
Externí odkaz:
http://arxiv.org/abs/2407.13280
Autor:
Dunay, Omer, Cheng, Daniel, Tait, Adam, Thakkar, Parth, Rigby, Peter C, Chiu, Andy, Ahmad, Imad, Ganesan, Arun, Maddila, Chandra, Murali, Vijayaraghavan, Tayyebi, Ali, Nagappan, Nachiappan
CodeCompose is an AI-assisted code authoring tool powered by large language models (LLMs) that provides inline suggestions to 10's of thousands of developers at Meta. In this paper, we present how we scaled the product from displaying single-line sug
Externí odkaz:
http://arxiv.org/abs/2402.04141
Developer turnover is inevitable on software projects and leads to knowledge loss, a reduction in productivity, and an increase in defects. Mitigation strategies to deal with turnover tend to disrupt and increase workloads for developers. In this wor
Externí odkaz:
http://arxiv.org/abs/2312.17236
Autor:
Rigby, Peter C., Rogers, Seth, Saleem, Sadruddin, Suresh, Parth, Suskin, Daniel, Riggs, Patrick, Maddila, Chandra, Nagappan, Nachiappan
Code review ensures that a peer engineer manually examines the code before it is integrated and released into production. At Meta, we develop a wide range of software at scale, from social networking to software development infrastructure, such as ca
Externí odkaz:
http://arxiv.org/abs/2312.17169
Continuous integration at scale is costly but essential to software development. Various test optimization techniques including test selection and prioritization aim to reduce the cost. Test batching is an effective alternative, but overlooked techni
Externí odkaz:
http://arxiv.org/abs/2308.13129
Autor:
Murali, Vijayaraghavan, Maddila, Chandra, Ahmad, Imad, Bolin, Michael, Cheng, Daniel, Ghorbani, Negar, Fernandez, Renuka, Nagappan, Nachiappan, Rigby, Peter C.
Generative LLMs have been shown to effectively power AI-based code authoring tools that can suggest entire statements or blocks of code during code authoring. In this paper we present CodeCompose, an AI-assisted code authoring tool developed and depl
Externí odkaz:
http://arxiv.org/abs/2305.12050
Aim: In contrast to studies of defects found during code review, we aim to clarify whether code reviews measures can explain the prevalence of post-release defects. Method: We replicate a study by McIntoshet. al that uses additive regression to model
Externí odkaz:
http://arxiv.org/abs/2005.09217
Publikováno v:
IEEE Transactions on Software Engineering; 2024, Vol. 50 Issue: 4 p884-899, 16p
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