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Related papers: Comprehending Test Code: An Empirical Study

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Nowadays, Computer Science tightly entered all spheres of human activity. To improve quality and speed of development process, it is important to help programmers improve their working conditions. This paper proposes a vision on exploring…

Software Engineering · Computer Science 2020-12-17 Rozaliya Amirova , Sergey Masyagin , Anastasia Reprintseva , Giancarlo Succi , Herman Tarasau

Although there are many automated software testing suites, they usually focus on unit, system, and interface testing. However, especially software updates such as new security features have the potential to diminish user experience. In this…

Software Engineering · Computer Science 2021-04-09 Chidera Biringa , Gokhan Kul

Communication is a crucial social factor in the success of software projects, as positively or negatively perceived statements can influence how recipients feel and affect team collaboration through emotional contagion. Whether a developer…

Software Engineering · Computer Science 2026-03-12 Martin Obaidi , Marc Herrmann , Jendrik Martensen , Jil Klünder , Kurt Schneider

Generative machine learning models have recently been applied to source code, for use cases including translating code between programming languages, creating documentation from code, and auto-completing methods. Yet, state-of-the-art…

The identification of code smells is largely recognized as a subjective task. Consequently, the automated detection tools available are insufficient to deal with the whole subjectivity involved in the task, requiring human validation.…

Software Engineering · Computer Science 2021-10-07 Luiz Felipi Junionello , Rafael de Mello

Software testing is a mandatory activity in any serious software development process, as bugs are a reality in software development. This raises the question of quality: good tests are effective in finding bugs, but until a test case…

Software Engineering · Computer Science 2023-07-14 Daniel Lucrédio , Auri Marcelo Rizzo Vincenzi , Eduardo Santana de Almeida , Iftekhar Ahmed

[Context] Applying design principles has long been acknowledged as beneficial for understanding and maintainability in traditional software projects. These benefits may similarly hold for Machine Learning (ML) projects, which involve…

Software Engineering · Computer Science 2024-02-09 Raphael Cabral , Marcos Kalinowski , Maria Teresa Baldassarre , Hugo Villamizar , Tatiana Escovedo , Hélio Lopes

The study of affects (i.e., emotions, moods) in the workplace has received a lot of attention in the last 15 years. Despite the fact that software development has been shown to be intellectual, creative, and driven by cognitive activities,…

Software Engineering · Computer Science 2015-09-18 Daniel Graziotin , Xiaofeng Wang , Pekka Abrahamsson

Refactoring is a widespread practice that helps developers to improve the maintainability and readability of their code. However, there is a limited number of studies empirically investigating the actual motivations behind specific…

Software Engineering · Computer Science 2018-08-07 Danilo Silva , Nikolaos Tsantalis , Marco Tulio Valente

Producing code of good quality is an essential skill in software development. Code quality is an aspect of software quality that concerns the directly observable properties of code, such as decomposition, modularization, and code flow. Code…

Software Engineering · Computer Science 2024-11-06 Eduardo Carneiro Oliveira , Hieke Keuning , Johan Jeuring

In seeking to understand the processes enacted during software development, an increasing number of studies have mined software repositories. In particular, studies have endeavored to show how teams resolve software defects. Although much…

Software Engineering · Computer Science 2021-04-19 Sherlock A. Licorish , Stephen G. MacDonell

Many software metrics are designed to measure aspects that are believed to be related to software quality. Static software metrics, e.g., size, complexity and coupling are used in defect prediction research as well as software quality…

Software Engineering · Computer Science 2022-05-31 Alexander Trautsch , Johannes Erbel , Steffen Herbold , Jens Grabowski

AI code generation tools have expanded software creation beyond professional developers, giving rise to vibe coding, a practice in which users generate software via natural-language prompts, evaluate outputs primarily by execution. Prior…

Software Engineering · Computer Science 2026-05-26 Ahmed Fawzy , Amjed Tahir , Kelly Blincoe

Understanding collaboration patterns in introductory programming courses is essential, as teamwork is a critical skill in computer science. In professional environments, software development relies on effective teamwork, navigating diverse…

Software Engineering · Computer Science 2024-10-29 Santiago Berrezueta-Guzman , Patrick Bassner , Stefan Wagner , Stephan Krusche

Background: During software maintenance and development, the comprehension of program code is key to success. High-quality comments can help us better understand programs, but they're often missing or outmoded in today's programs. Automatic…

Software Engineering · Computer Science 2019-10-15 Yuxiang Zhu , Minxue Pan

Software testing is a complex, intellectual activity based (at least) on analysis, reasoning, decision making, abstraction and collaboration performed in a highly demanding environment. Naturally, it uses and allocates multiple cognitive…

Software Engineering · Computer Science 2020-12-10 Eduard Enoiu , Gerald Tukseferi , Robert Feldt

This paper reports an empirical study on refactoring activity in three Java software systems. We investigated some questions on refactoring activity, to confirm or disagree on conclusions that have been drawn from previous empirical…

Agent-based coding tools have transformed software development practices. Unlike prompt-based approaches that require developers to manually integrate generated code, these agent-based tools autonomously interact with repositories to…

Software Engineering · Computer Science 2026-03-17 Suzuka Yoshimoto , Shun Fujita , Kosei Horikawa , Daniel Feitosa , Yutaro Kashiwa , Hajimu Iida

The study examined the relationship between Java programming self-efficacy and programming background of engineering students in a Nigerian University. One hundred and ninety two final year engineering students randomly selected from six…

Computers and Society · Computer Science 2009-09-02 Philip Olu Jegede

Background: Code review is a cognitively demanding and time-consuming process. Previous qualitative studies hinted at how decomposing change sets into multiple yet internally coherent ones would improve the reviewing process. So far,…

Software Engineering · Computer Science 2020-01-22 Marco di Biase , Magiel Bruntink , Arie van Deursen , Alberto Bacchelli