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There is a growing interest in the area of machine learning and creativity. This survey presents an overview of the history and the state of the art of computational creativity theories, key machine learning techniques (including generative…

Machine Learning · Computer Science 2025-02-14 Giorgio Franceschelli , Mirco Musolesi

Semantic code search is the task of retrieving relevant code given a natural language query. While related to other information retrieval tasks, it requires bridging the gap between the language used in code (often abbreviated and highly…

Machine Learning · Computer Science 2020-06-09 Hamel Husain , Ho-Hsiang Wu , Tiferet Gazit , Miltiadis Allamanis , Marc Brockschmidt

Computational creativity is a subfield of AI focused on developing and studying creative systems. Few academic studies analysing the behaviour of creative agents from a theoretical viewpoint have been proposed. The proposed frameworks are…

Artificial Intelligence · Computer Science 2016-04-15 Valerio Velardo , Mauro Vallati

Recent generative AI advances present new possibilities for supporting visual art creation, but how such promise might assist novice artists during early-stage processes requires investigation. How novices adopt or resist these tools can…

Human-Computer Interaction · Computer Science 2025-10-01 Cindy Peng , Alice Qian , Linghao Jin , Jieneng Chen , Evans Xu Han , Paul Pu Liang , Hong Shen , Haiyi Zhu , Jane Hsieh

Nowadays, software testing professionals are commonly required to develop coding skills to work on test automation. One essential skill required from those who code is the ability to implement code refactoring, a valued quality aspect of…

Crowdsourcing platforms are a powerful and convenient means for recruiting participants in online studies and collecting data from the crowd. As information work is being more and more automated by Machine Learning algorithms, creativity…

Human-Computer Interaction · Computer Science 2020-02-26 Jonas Oppenlaender , Aku Visuri , Kristy Milland , Panos Ipeirotis , Simo Hosio

Software engineering bots - automated tools that handle tedious tasks - are increasingly used by industrial and open source projects to improve developer productivity. Current research in this area is held back by a lack of consensus of…

Software Engineering · Computer Science 2020-10-30 Linda Erlenhov , Francisco Gomes de Oliveira Neto , Philipp Leitner

Large language models (LLMs) have shown great potential in automating significant aspects of coding by producing natural code from informal natural language (NL) intent. However, given NL is informal, it does not lend easily to checking…

Software Engineering · Computer Science 2024-10-04 Sarah Fakhoury , Aaditya Naik , Georgios Sakkas , Saikat Chakraborty , Shuvendu K. Lahiri

In recent years, machine learning (ML) systems have been increasingly applied for performing creative tasks. Such creative ML approaches have seen wide use in the domains of visual art and music for applications such as image and music…

Computers and Society · Computer Science 2020-09-01 Anurag Sarkar , Seth Cooper

Chinese ceramic-making involves complex and interdependent steps, making it technically demanding. Digital fabrication methods attempt to make the process more accessible, but for craft-creators, technical challenges such as CAD and CAM…

Human-Computer Interaction · Computer Science 2026-04-29 Sijia Liu , Hoi Ching Silvester Mok , Long Ling , Tobias Klein , Ray LC

It has been argued that computational thinking should precede computer programming in the course of a career in computing. This argument is the basis for the slogan "logic first, syntax later" and the development of many cryptic syntax…

Computers and Society · Computer Science 2018-11-13 Patrick Vanvorce , Hasan M. Jamil

Coding standards and good practices are fundamental to a disciplined approach to software projects, whatever programming languages they employ. Prolog programming can benefit from such an approach, perhaps more than programming in other…

Programming Languages · Computer Science 2011-05-18 Michael A. Covington , Roberto Bagnara , Richard A. O'Keefe , Jan Wielemaker , Simon Price

The availability of generative Artificial Intelligence (AI) tools such as ChatGPT or GitHub Copilot is reshaping the way in which software is developed, evolved, and maintained. Oftentimes, developers leave traces of such an usage in…

The integration of generative AI in visual art has revolutionized not only how visual content is created but also how AI interacts with and reflects the underlying domain knowledge. This survey explores the emerging realm of diffusion-based…

Artificial Intelligence · Computer Science 2024-08-23 Bingyuan Wang , Qifeng Chen , Zeyu Wang

Traditionally, computer programming has been the prerogative of professional developers using textual programming languages such as C, Java, or Python. Low-code programming promises an alternative: letting citizen developers create programs…

Programming Languages · Computer Science 2023-09-26 Martin Hirzel

The year 2022 marks a watershed in technology, and arguably in human history, with the release of powerful generative AIs capable of convincingly performing creative tasks. With the help of these systems, anyone can create something that…

Human-Computer Interaction · Computer Science 2024-12-13 Jens Knappe

Creative telescoping is the method of choice for obtaining information about definite sums or integrals. It has been intensively studied since the early 1990s, and can now be considered as a classical technique in computer algebra. At the…

Symbolic Computation · Computer Science 2016-09-14 Shaoshi Chen , Manuel Kauers

Context: Writing Clean Code understandable by other collaborators has become crucial to enhancing collaboration and productivity. However, very little is known regarding whether developers agree with Clean Code Principles and how they apply…

Software Engineering · Computer Science 2022-08-16 Kevin Ljung , Javier Gonzalez-Huerta

Creating functions is at the center of writing computer programs. But there has been little empirical research on how this is done and what are the considerations that developers use. We design an experiment in which we can compare the…

Software Engineering · Computer Science 2022-09-05 Alexey Braver , Dror G. Feitelson

Progress in science is deeply bound to the effective use of high-performance computing infrastructures and to the efficient extraction of knowledge from vast amounts of data. Such data comes from different sources that follow a cycle…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-15 Rosa M Badia , Jorge Ejarque , Francesc Lordan , Daniele Lezzi , Javier Conejero , Javier Álvarez Cid-Fuentes , Yolanda Becerra , Anna Queralt