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检索条件"主题词=Exploratory programming"
42 条 记 录,以下是31-40 订阅
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Relentless Repairability or Reckless Reuse Whether or Not to Rebuild a Concern with Your Familiar Tools and Materials
Relentless Repairability or Reckless Reuse Whether or Not to...
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ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on programming and Software (Onward!)
作者: Taeumel, Marcel Hirschfeld, Robert Hasso Plattner Inst Potsdam Germany Univ Potsdam Potsdam Germany
We must retain liveness and exploratory practices within the programming systems that make us feel most productive. However, the temptation to just reuse black boxes through limited interfaces is pervasive. We expect ... 详细信息
来源: 评论
Managing Messes in Computational Notebooks  19
Managing Messes in Computational Notebooks
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CHI Conference on Human Factors in Computing Systems (CHI)
作者: Head, Andrew Hohman, Fred Barik, Titus Drucker, Steven M. DeLine, Robert Univ Calif Berkeley Berkeley CA 94720 USA Georgia Inst Technol Atlanta GA 30332 USA Microsoft Redmond WA USA Microsoft Res Redmond WA USA
Data analysts use computational notebooks to write code for analyzing and visualizing data. Notebooks help analysts iteratively write analysis code by letting them interleave code with output, and selectively execute ... 详细信息
来源: 评论
Spellburst: A Node-based Interface for exploratory Creative Coding with Natural Language Prompts  23
Spellburst: A Node-based Interface for Exploratory Creative ...
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36th Annual ACM Symposium on User Interface Software and Technology (UIST)
作者: Angert, Tyler Suzara, Miroslav Ivan Han, Jenny Pondoc, Christopher Lawrence Subramonyam, Hariharan Replit San Francisco CA 94107 USA Stanford Univ Stanford CA 94305 USA
Creative coding tasks are often exploratory in nature. When producing digital artwork, artists usually begin with a high-level semantic construct such as a "stained glass filter" and programmatically impleme... 详细信息
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Towards Effective Foraging by Data Scientists to Find Past Analysis Choices  19
Towards Effective Foraging by Data Scientists to Find Past A...
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CHI Conference on Human Factors in Computing Systems (CHI)
作者: Kery, Mary Beth John, Bonnie E. O'Flaherty, Patrick Horvath, Amber Myers, Brad A. Carnegie Mellon Univ Human Comp Interact Inst 5000 Forbes Ave Pittsburgh PA 15213 USA Bloomberg LP 731 Lexington Ave New York NY 10022 USA
Data scientists are responsible for the analysis decisions they make, but it is hard for them to track the process by which they achieved a result. Even when data scientists keep logs, it is onerous to make sense of t... 详细信息
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Shortening Feedback Loops in a Live Game Development Environment
Shortening Feedback Loops in a Live Game Development Environ...
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IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)
作者: Beckmann, Tom Krebs, Eva Rein, Patrick Ramson, Stefan Hirschfeld, Robert Univ Potsdam Hasso Platter Inst Potsdam Germany
Game development benefits from short iterations, as it is often concerned with how a game will feel like;something that is hard to anticipate. Live programming aims at reducing the length of iterations during software... 详细信息
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B2: Bridging Code and Interactive Visualization in Computational Notebooks  20
B2: Bridging Code and Interactive Visualization in Computati...
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33rd Annual ACM Symposium on User Interface Software and Technology (UIST)
作者: Wu, Yifan Hellerstein, Joseph M. Satyanarayan, Arvind Univ Calif Berkeley Berkeley CA 94720 USA MIT CSAIL Cambridge MA 02139 USA
Data scientists have embraced computational notebooks to author analysis code and accompanying visualizations within a single document. Currently, although these media may be interleaved, they remain siloed: interacti... 详细信息
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TRACTUS: Understanding and Supporting Source Code Experimentation in Hypothesis-Driven Data Science  20
TRACTUS: Understanding and Supporting Source Code Experiment...
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CHI Conference on Human Factors in Computing Systems (CHI)
作者: Subramanian, Krishna Maas, Johannes Borchers, Jan Rhein Westfal TH Aachen D-52074 Aachen Germany
Data scientists experiment heavily with their code, compromising code quality to obtain insights faster. We observed ten data scientists perform hypothesis-driven data science tasks, and analyzed their coding, comment... 详细信息
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A Domain-Specific Language for exploratory Data Visualization  2018
A Domain-Specific Language for Exploratory Data Visualizatio...
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17th ACM SIGPLAN International Conference on Generative programming - Concepts and Experiences (GPCE) part of the SPLASH Collection of Conferences and Workshops
作者: Smeltzer, Karl Erwig, Martin Oregon State Univ Corvallis OR 97331 USA
With an ever-growing amount of collected data, the importance of visualization as an analysis component is growing in concert. The creation of good visualizations often doesn't happen in one step but is rather an ... 详细信息
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Object-Centric Time-Travel Debugging Exploring Traces of Objects  23
Object-Centric Time-Travel Debugging Exploring Traces of Obj...
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7th International Conference on the Art, Science, and Engineering of programming (programming)
作者: Thiede, Christoph Taeumel, Marcel Hirschfeld, Robert Univ Potsdam Hasso Plattner Inst Potsdam Germany
Traditional behavior-centric debuggers are organized around an extensive call stack, making it hard for programmers to navigate and explore large programs. We present object traces, a novel, object-centric approach to... 详细信息
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Explorativní editace zdrojových textů
Explorativní editace zdrojových textů
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作者: Šomlo, Ivan Brno University of Technology
Diplomová práce se věnuje nástrojům, které jsou běžně používané vývojáři v explorativních prostředích jazyků Smalltalk a Self. Tyto jazyky osvobozují uživatele... 详细信息
来源: 评论