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41
MESH: A Memory-Efficient Safe Heap for C/C++ ...
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42
A MLIR Dialect for Quantum Assembly Languages ...
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43
Generation of TypeScript Declaration Files from JavaScript Code ...
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44
Enabling Dataflow Optimization for Quantum Programs ...
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45
A Logical Programming Language as an Instrument for Specifying and Verifying Dynamic Memory ...
Haberland, René. - : arXiv, 2021
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46
Retrieval Augmented Code Generation and Summarization ...
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47
Programmers’ affinity to languages
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48
Visually Grounded Reasoning across Languages and Cultures ...
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49
Automatic Grading Tool for Jupyter Notebooks in Artificial Intelligence Courses
In: Sustainability ; Volume 13 ; Issue 21 (2021)
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50
Studying the Effectiveness of Code Animation in Teaching Recursive Programming
In: Honors College Theses (2021)
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51
MPIs Language Bindings are Holding MPI Back ...
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52
Why Aren't Regular Expressions a Lingua Franca? An Empirical Study on the Re-use and Portability of Regular Expressions ...
Abstract: This paper explores the extent to which regular expressions (regexes) are portable across programming languages. Many languages offer similar regex syntaxes, and it would be natural to assume that regexes can be ported across language boundaries. But can regexes be copy/pasted across language boundaries while retaining their semantic and performance characteristics? In our survey of 158 professional software developers, most indicated that they re-use regexes across language boundaries and about half reported that they believe regexes are a universal language. We experimentally evaluated the riskiness of this practice using a novel regex corpus -- 537,806 regexes from 193,524 projects written in JavaScript, Java, PHP, Python, Ruby, Go, Perl, and Rust. Using our polyglot regex corpus, we explored the hitherto-unstudied regex portability problems: logic errors due to semantic differences, and security vulnerabilities due to performance differences. We report that developers' belief in a regex lingua franca is ... : ESEC/FSE 2019 ...
Keyword: FOS Computer and information sciences; Programming Languages cs.PL; Software Engineering cs.SE
URL: https://dx.doi.org/10.48550/arxiv.2105.04397
https://arxiv.org/abs/2105.04397
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53
TreeBERT: A Tree-Based Pre-Trained Model for Programming Language ...
Jiang, Xue; Zheng, Zhuoran; Lyu, Chen. - : arXiv, 2021
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54
Query Lifting: Language-integrated query for heterogeneous nested collections ...
Ricciotti, Wilmer; Cheney, James. - : arXiv, 2021
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55
Evolution of human computer interaction
In: Sci. Visualization ; Scientific Visualization (2021)
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56
Conversational agent for supporting learners on a MOOC on programming with Java
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57
Identifying and solving issues with acquiring skills in computer programming for non-English speakers
In: Nnass, IA, (2020). Identifying and solving issues with acquiring skills in computer programming for non-English speakers. Doctoral Thesis. Central Queensland University, http://dx.doi.org/10.25946/5f039502e1dec (2020)
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58
PROGRAMMER EN MAX AVEC bell
In: Journées d'informatique musicale (JIM) 2020 ; https://hal.archives-ouvertes.fr/hal-03019742 ; Journées d'informatique musicale (JIM) 2020, Oct 2020, Strasbourg (en virtuel), France (2020)
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59
History of Logo
In: Proceedings of the ACM on Programming Languages, vol 4, iss HOPL (2020)
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60
A Methodology for Teaching from Student Errors in Computer Science Education
Koehler, Adam Thomas. - : eScholarship, University of California, 2020
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