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Despite significant investment in software infrastructure, machine learning systems, runtimes and compilers do not compose properly. We propose a new design aiming at providing unprecedented degrees of modularity, composability and…

One of the major hurdles toward automatic semantic understanding of computer programs is the lack of knowledge about what constitutes functional equivalence of code segments. We postulate that a sound knowledgebase can be used to…

Programming Languages · Computer Science 2017-05-03 Hasan M. Jamil

The task of translating between programming languages differs from the challenge of translating natural languages in that programming languages are designed with a far more rigid set of structural and grammatical rules. Previous work has…

Machine Learning · Computer Science 2018-07-06 Mehdi Drissi , Olivia Watkins , Aditya Khant , Vivaswat Ojha , Pedro Sandoval , Rakia Segev , Eric Weiner , Robert Keller

Program synthesis is the process of automatically translating a specification into computer code. Traditional synthesis settings require a formal, precise specification. Motivated by computer education applications where a student learns to…

Artificial Intelligence · Computer Science 2018-06-05 Evan Hernandez , Ara Vartanian , Xiaojin Zhu

Parsing (also called syntax analysis) techniques cover a substantial portion of any undergraduate Compiler Design course. We present ParseIT, a tool to help students understand the parsing techniques through question-answering. ParseIT…

Programming Languages · Computer Science 2017-02-03 Amey Karkare , Nimisha Agarwal

While functional programming is an efficient way to express complex software, functional programming languages have a steep learning curve. Haskell can be challenging to learn for students who were only introduced to imperative programming.…

Programming Languages · Computer Science 2019-06-28 Boldizsár Németh , Eunjong Choi , Erina Makihara , Hajimu Iida

When giving automated feedback to a student working on a beginner's exercise, many programming tutors run into a completeness problem. On the one hand, we want a student to experiment freely. On the other hand, we want a student to write…

Human-Computer Interaction · Computer Science 2020-11-17 Niek Mulleners , Johan Jeuring , Bastiaan Heeren

Generic programming is an effective methodology for developing reusable software libraries. Many programming languages provide generics and have features for describing interfaces, but none completely support the idioms used in generic…

Programming Languages · Computer Science 2007-08-17 Jeremy G. Siek , Andrew Lumsdaine

Building a parser for a formal specification language such as Object Z is not an easy task. Indeed, it requires a double competence both in the compilation field than in the field of formal specification. In this paper, we first present…

Software Engineering · Computer Science 2012-10-16 Fethi Fkih , Kais Haddar

We introduce Texar, an open-source toolkit aiming to support the broad set of text generation tasks that transform any inputs into natural language, such as machine translation, summarization, dialog, content manipulation, and so forth.…

Code translation is a crucial activity in the software development and maintenance process, and researchers have recently begun to focus on using pre-trained large language models (LLMs) for code translation. However, existing LLMs only…

Software Engineering · Computer Science 2025-09-30 Minghua He , Yue Chen , Fangkai Yang , Pu Zhao , Wenjie Yin , Yu Kang , Qingwei Lin , Saravan Rajmohan , Dongmei Zhang

Effective code optimization in compilers is crucial for computer and software engineering. The success of these optimizations primarily depends on the selection and ordering of the optimization passes applied to the code. While most…

Programming Languages · Computer Science 2026-05-29 Chaoyi Deng , Jialong Wu , Ningya Feng , Jianmin Wang , Mingsheng Long

We report on a half-semester course focused around implementation of type systems in programming languages. The course assumes basics of classical compiler construction, in particular, the abstract syntax representation, the Visitor…

Programming Languages · Computer Science 2024-07-12 Abdelrahman Abounegm , Nikolai Kudasov , Alexey Stepanov

To appear in the proceedings of LPAR 21. Solving complex problems can involve non-trivial combinations of distinct knowledge bases and problem solvers. The Algebra of Modular Systems is a knowledge representation framework that provides a…

Artificial Intelligence · Computer Science 2017-04-04 Bart Bogaerts , Eugenia Ternovska , David Mitchell

Modern research heavily relies on software. A significant challenge researchers face is understanding the complex software used in specific research fields. We target two scenarios in this context, namely long onboarding times for newcomers…

Software Engineering · Computer Science 2026-04-14 Adrian Bajraktari , Andreas Vogelsang

Scientific machine learning often requires combining known physics with unknown parameters or correction terms learned from data. Existing approaches either ignore known structure, encode it as a soft penalty, or require hand-written…

Machine Learning · Computer Science 2026-05-22 Lucas Sheneman

Knowledge about programming is part of the knowledge matrix that will be required of the professionals of the future. Based on this, this work aims to report the development of a teaching tool developed during the monitoring program of the…

Successful programs are written to be maintained. One aspect to this is that programmers order the components in the code files in a particular way. This is part of programming style. While the conventions for ordering are sometimes given…

Software Engineering · Computer Science 2017-07-24 Steven P. Reiss , Qi Xin

Constructor-Based Conditional Rewriting Logic is a general framework for integrating first-order functional and logic programming which gives an algebraic semantics for non-deterministic functional-logic programs. In the context of this…

Logic in Computer Science · Computer Science 2007-05-23 Juan M. Molina , Ernesto Pimentel

We propose a novel framework for controllable natural language transformation. Realizing that the requirement of parallel corpus is practically unsustainable for controllable generation tasks, an unsupervised training scheme is introduced.…

Computation and Language · Computer Science 2019-07-16 Parag Jain , Abhijit Mishra , Amar Prakash Azad , Karthik Sankaranarayanan
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