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Test smells are defined as sub-optimal design choices developers make when implementing test cases. Hence, similar to code smells, the research community has produced numerous test smell detection tools to investigate the impact of test…

Source code summarizing is a task of writing short, natural language descriptions of source code behavior during run time. Such summaries are extremely useful for software development and maintenance but are expensive to manually…

Machine Learning · Computer Science 2020-04-03 Vivek Gupta

Context: Software metrics, as one form of static analyses, is a commonly used approach in software engineering in order to understand the state of a software system, in particular to identify potential areas prone to defects. Family-based…

Software Engineering · Computer Science 2021-10-13 Sascha El-Sharkawy , Adam Krafczyk , Klaus Schmid

In current research, there are contrasting results about the applicability of software source code metrics as features for defect prediction models. The goal of the paper is to evaluate the adoption of software metrics in models for…

Software Engineering · Computer Science 2023-01-20 Dominik Arne Rebro , Bruno Rossi , Stanislav Chren

Software engineering researchers look for software artifacts to study their characteristics or to evaluate new techniques. In this paper, we introduce DUETS, a new dataset of software libraries and their clients. This dataset can be…

Software Engineering · Computer Science 2021-03-18 Thomas Durieux , César Soto-Valero , Benoit Baudry

Two key contributions presented in this paper are: i) A method for building a dataset containing source code features extracted from source files taken from Open Source Software (OSS) and associated bug reports, ii) A predictive model for…

Software Engineering · Computer Science 2018-09-13 Ritu Kapur , Balwinder Sodhi

Software developers use metrics to evaluate code quality and productivity, but these practices are still rare in programming education. This project bridges the gap by collecting real-time learning analytics from individual student and…

Computing devices and associated software govern everyday life, and form the backbone of safety critical systems in banking, healthcare, automotive and other fields. Increasing system complexity, quickly evolving technologies and paradigm…

Software Engineering · Computer Science 2020-09-04 Arthur-Jozsef Molnar , Alexandra Neamţu , Simona Motogna

Software engineers have a wide variety of tools and techniques that can help them improve the quality of their code, but still, a lot of bugs remain undetected. In this paper we build on the idea that if a particular fragment of code is…

Software Engineering · Computer Science 2020-04-06 Sergey Svitkov , Timofey Bryksin

Logs are semi-structured text generated by logging statements in software source code. In recent decades, software logs have become imperative in the reliability assurance mechanism of many software systems because they are often the only…

Software Engineering · Computer Science 2021-06-02 Shilin He , Pinjia He , Zhuangbin Chen , Tianyi Yang , Yuxin Su , Michael R. Lyu

Usability evaluation has received considerable attention from both the research and practice communities. While there are many evaluation tools available, the Software Usability Scale (SUS) is the most widely used. In this paper, we…

Software Engineering · Computer Science 2024-10-25 Paweł Weichbroth , Małgorzata Giedrowicz

We present Open-CD, a change detection toolbox that contains a rich set of change detection methods as well as related components and modules. The toolbox started from a series of open source general vision task tools, including OpenMMLab…

Computer Vision and Pattern Recognition · Computer Science 2025-04-14 Kaiyu Li , Jiawei Jiang , Andrea Codegoni , Chengxi Han , Yupeng Deng , Keyan Chen , Zhuo Zheng , Hao Chen , Ziyuan Liu , Yuantao Gu , Zhengxia Zou , Zhenwei Shi , Sheng Fang , Deyu Meng , Zhi Wang , Xiangyong Cao

Analysis of data related to software development helps to increase quality, control and predictability of software development processes and products.However, collecting such data for is a complex task. A non-invasive collection of software…

Software Engineering · Computer Science 2017-02-24 Vasilii Artemev , Vladimir Ivanov , Manuel Mazzara , Alan Rogers , Alberto Sillitti , Giancarlo Succi , Eugene Zouev

Mutation testing is a well-studied method for increasing the quality of a test suite. We designed LittleDarwin as a mutation testing framework able to cope with large and complex Java software systems, while still being easily extensible…

Software Engineering · Computer Science 2017-07-06 Ali Parsai , Alessandro Murgia , Serge Demeyer

Variability-aware metrics are designed to measure qualitative aspects of software product lines. As we identified in a prior SLR \cite{El-SharkawyYamagishi-EichlerSchmid19}, there exist already many metrics that address code or variability…

Software Engineering · Computer Science 2021-10-20 Sascha El-Sharkawy , Adam Krafczyk , Klaus Schmid

With increasing amounts of visual data being created in the form of videos and images, visual data selection and summarization are becoming ever increasing problems. We present Vis-DSS, an open-source toolkit for Visual Data Selection and…

Computer Vision and Pattern Recognition · Computer Science 2018-09-25 Rishabh Iyer , Pratik Dubal , Kunal Dargan , Suraj Kothawade , Rohan Mahadev , Vishal Kaushal

Test suites are designed to validate the operation of a system against requirements. One important aspect of a test suite design is to ensure that system operation logic is tested completely. A test suite should drive a system through all…

Software Engineering · Computer Science 2016-11-15 Raimondas Lencevicius , Edu Metz , Alexander Ran

Software implements a significant proportion of functionality in factory automation. Thus, efficient development and the reuse of software parts, so-called units, enhance competitiveness. Thereby, complex control software units are more…

Software Engineering · Computer Science 2022-12-13 Juliane Fischer , Birgit Vogel-Heuser , Heiko Schneider , Nikolai Langer , Markus Felger , Matthias Bengel

Enabling observability in software systems brings many benefits. It can, for example, ease the identification of issues or the implementation of improvements. It is especially critical to be able to observe sustainability-related dimensions…

Software Engineering · Computer Science 2026-04-13 Klervie Toczé , Andrei Dragomir , Vincenzo Stoico , Patricia Lago

Audit trails are evidential indications of activities performers in any logs. Modern reactive systems such as transaction processing systems, management information systems, decision support systems and even executive management systems log…

Software Engineering · Computer Science 2023-08-02 Patrick Mukala
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