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Programming languages & software engineering

Building programming languages, tools, and software engineering techniques that make software more reliable, secure, and productive.

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게시 날짜 표시

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“Can I Implement Your Algorithm?”: A Model for Reproducible Research Software

Tom Crick, Benjamin A. Hall, Samin Ishtiaq, Ben Hall

2nd Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2) | November 2014

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Learning Natural Coding Conventions

Miltiadis Allamanis, Earl T. Barr, Christian Bird, Charles Sutton

Proceedings of the ACM SigSoft Symposium on Foundations of Software Engineering | November 2014

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Tempe: An Interactive Data Science Environment for Exploration of Temporal and Streaming Data

Danyel Fisher, Badrish Chandramouli, Robert DeLIne, Jonathan Goldstein, Andrei Aron, Mike Barnett, John Platt, James Terwilliger, John Wernsing

MSR-TR-2014-148 | November 2014

프로젝트 프로젝트

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Probabilistic Programs as Spreadsheet Queries

Andy Gordon, Claudio Russo, Marcin Szymczak, Johannes Borgström, Thore Graepel, Daniel Tarlow

MSR-TR-2014-135 | November 2014

글쓴이 Microsoft

프로젝트 프로젝트 프로젝트 프로젝트

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Software Developers’ Perceptions of Productivity

André N. Meyer, Thomas Fritz, Gail C. Murphy, Tom Zimmermann

FSE ’14: Proceedings of the 22nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering | November 2014

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Practical Fine-Grained Decentralized Information Flow Control Using Laminar

Donald E. Porter, Michael D. Bond, Indrajit Roy, Kathryn S McKinley, Emmett Witchel

ACM Transactions on Programming Languages and Systems (TOPLAS) | November 2014, 제 37 권(1): pp. 1-50

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Changing how Earth System Modelling is done to provide more useful information for decision making, science and society

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툴

T2 Temporal Prover

T2 is designed to prove safety and liveness properties of programs, expressed as reachability, termination, or in the temporal logic CTL. Also see, https://github.com/mmjb/T2.

액세스

동영상

Krysta Svore on quantum computing and machine learning

October 23, 2014 | Krysta M. Svore

Senior Researcher Krysta Svore comments on the potential effect quantum computing can have on machine learning.

01:40

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Taking Back Control (Flow) of Reactive Programming

Sean McDirmid

REBLS | October 2014