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Computer science's increased recognition as a prominent field of study has attracted students with diverse academic backgrounds. This has significantly increased the already high failure rates in introductory courses. To address this…

Computers and Society · Computer Science 2025-10-28 Eric Hics , Vinhthuy Phan , Kriangsiri Malasri

In the near future, all the human genes will be identified. But understanding the functions coded in the genes is a much harder problem. For example, by using block entropy, one has that the DNA code is closer to a random code then written…

Numerical Analysis · Mathematics 2007-07-13 Torbjörn Lundh

When scripts in untyped languages grow into large programs, maintaining them becomes difficult. A lack of explicit type annotations in typical scripting languages forces programmers to must (re)discover critical pieces of design information…

Programming Languages · Computer Science 2011-06-15 Sam Tobin-Hochstadt , Matthias Felleisen

Program synthesis techniques offer significant new capabilities in searching for programs that satisfy high-level specifications. While synthesis has been thoroughly explored for input/output pair specifications (programming-by-example),…

Human-Computer Interaction · Computer Science 2019-09-27 Will Crichton

Satellite networks provide unique challenges that can restrict users' quality of service. For example, high packet erasure rates and large latencies can cause significant disruptions to applications such as video streaming or voice-over-IP.…

Networking and Internet Architecture · Computer Science 2015-06-23 Jason Cloud , Muriel Medard

Modern computing students often rely on both natural-language prompting and manual code editing to solve programming tasks. Yet we still lack a clear understanding of how these two modes are combined in practice, and how their usage varies…

Generic programming (GP) is an increasingly important trend in programming languages. Well-known GP mechanisms, such as type classes and the C++0x concepts proposal, usually combine two features: 1) a special type of interfaces; and 2)…

Programming Languages · Computer Science 2012-03-21 Bruno C. d. S. Oliveira , Tom Schrijvers , Wontae Choi , Wonchan Lee , Kwangkeun Yi

Inductive datatypes in programming languages allow users to define useful data structures such as natural numbers, lists, trees, and others. In this paper we show how inductive datatypes may be added to the quantum programming language QPL.…

Logic in Computer Science · Computer Science 2021-03-19 Romain Péchoux , Simon Perdrix , Mathys Rennela , Vladimir Zamdzhiev

Code annotations is a widely used feature in Java systems to configure custom metadata on programming elements. Their increasing presence creates the need for approaches to assess and comprehend their usage and distribution. In this…

Software Engineering · Computer Science 2022-10-14 Phyllipe Lima , Jorge Melegati , Everaldo Gomes , Nathalya Stefhany Pereira , Eduardo Guerra , Paulo Meirelles

Integrating architectural elements with a modern programming language is essential to ensure a smooth combination of architectural design and programming. In this position statement, we motivate a combination of architectural description…

Software Engineering · Computer Science 2014-09-09 Arne Haber , Jan Oliver Ringert , Bernhard Rumpe

Evaluating the effectiveness of software protection is crucial for selecting the most effective methods to safeguard assets within software applications. Obfuscation involves techniques that deliberately modify software to make it more…

Cryptography and Security · Computer Science 2025-11-27 Leonardo Regano , Daniele Canavese , Cataldo Basile , Marco Torchiano

This paper introduces a collection of board games specifically chosen to serve as a basis for programming exercises. We examine the attractiveness of board games in this context as well as features that make a particular game a good…

Human-Computer Interaction · Computer Science 2022-08-02 Maxim Mozgovoy , Marina Purgina

Discrete mathematics is the foundation of computer science. It focuses on concepts and reasoning methods that are studied using math notations. It has long been argued that discrete math is better taught with programming, which takes…

Computers and Society · Computer Science 2021-10-07 Yanhong A. Liu , Matthew Castelllana

Outside of transfer learning settings, reinforcement learning agents start their learning process from a clean slate. As a result, such agents have to go through a slow process to learn even the most obvious skills required to solve a…

Machine Learning · Computer Science 2025-05-20 Rubens O. Moraes , Quazi Asif Sadmine , Hendrik Baier , Levi H. S. Lelis

Large language models (LLMs) have brought a paradigm shift to the field of code generation, offering the potential to enhance the software development process. However, previous research mainly focuses on the accuracy of code generation,…

Software Engineering · Computer Science 2025-06-24 Yanlin Wang , Tianyue Jiang , Mingwei Liu , Jiachi Chen , Mingzhi Mao , Xilin Liu , Yuchi Ma , Zibin Zheng

Slicing is a program analysis technique originally developed for imperative languages. It facilitates understanding of data flow and debugging. This paper discusses slicing of Constraint Logic Programs. Constraint Logic Programming (CLP) is…

Software Engineering · Computer Science 2007-05-23 Gyongyi Szilagyi , Tibor Gyimothy , Jan Maluszynski

Discussions of software design often refer to using "design spaces" to describe the spectrum of available design alternatives. This supports design thinking in many ways: to capture domain knowledge, to support a wide variety of design…

Software Engineering · Computer Science 2024-07-29 Mary Shaw , Marian Petre

This article highlights how small modifications to either the source code of a benchmark program or the compilation options may impact its behavior on a specific machine. It argues that for evaluating machines, benchmark providers and users…

Software Engineering · Computer Science 2013-09-04 Raphael 'kena' Poss

The paper presents two complementary strategies for identifying errors in spreadsheet programs. The strategies presented are grounded on the assumption that spreadsheets are software, albeit of a different nature than conventional…

Software Engineering · Computer Science 2011-02-19 Yirsaw Ayalew , Markus Clermont , Roland T. Mittermeir

Large language models demonstrate a remarkable capability for learning to solve new tasks from a few examples. The prompt template, or the way the input examples are formatted to obtain the prompt, is an important yet often overlooked…

Computation and Language · Computer Science 2024-06-10 Anton Voronov , Lena Wolf , Max Ryabinin
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