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Classifying publication venues into top-tier or non top-tier is quite subjective and can be debatable at times. In this paper, we propose ConfAssist, a novel assisting framework for conference categorization that aims to address the…

Social and Information Networks · Computer Science 2016-09-22 Mayank Singh , Tanmoy Chakraborty , Animesh Mukherjee , Pawan Goyal

Access to credible sustainability information in the fashion industry remains limited and challenging to interpret, despite growing public and regulatory demands for transparency. General-purpose language models often lack domain-specific…

Machine Learning · Computer Science 2025-10-27 Daphne Theodorakopoulos , Elisabeth Eberling , Miriam Bodenheimer , Sabine Loos , Frederic Stahl

Time-series data has an increasingly growing usage in Industrial Internet of Things (IIoT) and large-scale scientific experiments. Managing time-series data needs a storage engine that can keep up with their constantly growing volumes while…

Databases · Computer Science 2022-06-09 Jalal Mostafa , Sara Wehbi , Suren Chilingaryan , Andreas Kopmann

Most bug assignment approaches utilize text classification and information retrieval techniques. These approaches use the textual contents of bug reports to build recommendation models. The textual contents of bug reports are usually of…

Software Engineering · Computer Science 2018-04-24 Mamdouh Alenezi , Shadi Banitaan , Mohammad Zarour

Issue resolution and bug-fixing processes are essential in the development of machine-learning libraries, similar to software development, to ensure well-optimized functions. Understanding the issue resolution and bug-fixing process of…

Software Engineering · Computer Science 2023-12-12 Adekunle Ajibode , Dong Yunwei , Yang Hongji

Modern version control systems such as Git or SVN include bug tracking mechanisms, through which developers can highlight the presence of bugs through bug reports, i.e., textual descriptions reporting the problem and what are the steps that…

Software Engineering · Computer Science 2019-07-26 Gemma Catolino , Fabio Palomba , Andy Zaidman , Filomena Ferrucci

Learning from crowds describes that the annotations of training data are obtained with crowd-sourcing services. Multiple annotators each complete their own small part of the annotations, where labeling mistakes that depend on annotators…

Human-Computer Interaction · Computer Science 2024-04-16 Shikun Li , Xiaobo Xia , Jiankang Deng , Shiming Ge , Tongliang Liu

Controlled abstractive summarization focuses on producing condensed versions of a source article to cover specific aspects by shifting the distribution of generated text towards a desired style, e.g., a set of topics. Subsequently, the…

Computation and Language · Computer Science 2023-11-14 Seyed Ali Bahrainian , Martin Jaggi , Carsten Eickhoff

Efficient bug triaging procedures are an important precondition for successful collaborative software engineering projects. Triaging bugs can become a laborious task particularly in open source software (OSS) projects with a large base of…

Software Engineering · Computer Science 2013-03-04 Marcelo Serrano Zanetti , Ingo Scholtes , Claudio Juan Tessone , Frank Schweitzer

Data-driven solutions for the investment industry require event-based backend systems to process high-volume financial data feeds with low latency, high throughput, and guaranteed delivery modes. At vwd we process an average of 18 billion…

Performance · Computer Science 2020-10-30 Manuel Coenen , Christoph Wagner , Alexander Echler , Sebastian Frischbier

This paper provides a comprehensive review of mechanical equipment fault diagnosis methods, focusing on the advancements brought by Transformer-based models. It details the structure, working principles, and benefits of Transformers,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-12 Guiran Liu , Binrong Zhu

The need for skilled medical support is growing in the era of digital healthcare. This research presents an innovative strategy, utilizing the RuBERT model, for categorizing user inquiries in the field of medical consultation with a focus…

Anomaly-based Network Intrusion Detection Systems (NIDS) require correctly labelled, representative and diverse datasets for an accurate evaluation and development. However, several widely used datasets do not include labels which are…

Networking and Internet Architecture · Computer Science 2025-02-07 Eric Lanfer , Dominik Brockmann , Nils Aschenbruck

As the popularity of mobile smart devices continues to climb the complexity of "apps" continues to increase, making the development and maintenance process challenging. Current bug tracking systems lack key features to effectively support…

Software Engineering · Computer Science 2018-01-19 Kevin Moran , Mario Linares-Vasquez , Carlos Bernal-Cardenas , Denys Poshyvanyk

Many software bugs are reported manually, particularly bugs that manifest themselves visually in the user interface. End-users typically report these bugs via app reviewing websites, issue trackers, or in-app built-in bug reporting tools,…

Software Engineering · Computer Science 2022-09-22 Yang Song , Junayed Mahmud , Ying Zhou , Oscar Chaparro , Kevin Moran , Andrian Marcus , Denys Poshyvanyk

High-quality datasets are fundamental to training and evaluating machine learning models, yet their creation-especially with accurate human annotations-remains a significant challenge. Many dataset paper submissions lack originality,…

Previous studies have found that a significant number of bug reports are misclassified between bugs and non-bugs, and that manually classifying bug reports is a time-consuming task. To address this problem, we propose a bug reports…

Software Engineering · Computer Science 2017-09-19 Pannavat Terdchanakul , Hideaki Hata , Passakorn Phannachitta , Kenichi Matsumoto

Software development teams generally welcome any effort to expose bugs in their code base. In this work, we build on the hypothesis that mobile apps from the same category (e.g., two web browser apps) may be affected by similar bugs in…

Software Engineering · Computer Science 2023-01-24 Xunzhu Tang , Haoye Tian , Pingfan Kong , Kui Liu , Jacques Klein , Tegawendé F. Bissyande

One of the primary mechanisms by which developers receive feedback about in-field failures of software from users is through bug reports. Unfortunately, the quality of manually written bug reports can vary widely due to the effort required…

Software Engineering · Computer Science 2022-03-24 Mattia Fazzini , Kevin Moran , Carlos Bernal Cardenas , Tyler Wendland , Alessandro Orso , Denys Poshyvanyk

In this paper, we present a complete framework for quickly calibrating and administering a robust large-scale computerized adaptive test (CAT) with a small number of responses. Calibration - learning item parameters in a test - is done…

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