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The most prominent Agile framework Scrum, is often criticized for its amount of meetings. These regular events are essential to the empirical inspect-and-adapt cycle proposed by Agile methods. Scrum meetings face several challenges, such as…

Software Engineering · Computer Science 2021-09-15 Franziska Dobrigkeit , Christoph Matthies , Ralf Teusner , Michael Perscheid

In reliable decision-making systems based on machine learning, models have to be robust to distributional shifts or provide the uncertainty of their predictions. In node-level problems of graph learning, distributional shifts can be…

Machine Learning · Computer Science 2023-11-02 Gleb Bazhenov , Denis Kuznedelev , Andrey Malinin , Artem Babenko , Liudmila Prokhorenkova

Graph traversals are a basic but fundamental ingredient for a variety of graph algorithms and graph-oriented queries. To achieve the best possible query performance, they need to be implemented at the core of a database management system…

Databases · Computer Science 2014-12-22 Marcus Paradies , Wolfgang Lehner , Christof Bornhoevd

GitHub is the most widely used social, distributed version control system. It has around 10 million registered users and hosts over 16 million public repositories. Its user base is also very active as GitHub ranks in the top 100 Alexa most…

Programming Languages · Computer Science 2016-03-02 Amirali Sanatinia , Guevara Noubir

Papers on Agile Software Development methods are often focused on their applicability in commercial projects or organizations. There are no current studies that we know about addressing the application of these methods in research projects.…

Software Engineering · Computer Science 2017-12-07 Nelson Marcelo Romero Aquino , Adolfo Gustavo Serra Seca Neto , Heitor Silvério Lopes

Bug tracking tools are vital for managing bugs in any open source as well as proprietary commercial projects. Considering the significance of using an appropriate bug tracking tool, we assess the features offered by 31 open source bug…

Software Engineering · Computer Science 2017-06-22 Sai Anirudh Karre , Anveshi Shukla , Y. Raghu Reddy

Runtime scheduling and workflow systems are an increasingly popular algorithmic component in HPC because they allow full system utilization with relaxed synchronization requirements. There are so many special-purpose tools for task…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-03 David M. Rogers

Resource selection and task placement for distributed execution poses conceptual and implementation difficulties. Although resource selection and task placement are at the core of many tools and workflow systems, the methods are ad hoc…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-04 Matteo Turilli , Yadu Nand Babuji , Andre Merzky , Ming Tai Ha , Michael Wilde , Daniel S. Katz , Shantenu Jha

In this paper, we present the computational task-management tool Ganga, which allows for the specification, submission, bookkeeping and post-processing of computational tasks on a wide set of distributed resources. Ganga has been developed…

Cloud computing is a new paradigm where data and services of Information Technology are provided via the Internet by using remote servers. It represents a new way of delivering computing resources allowing access to the network on demand.…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-02 Abdellah Idrissi , Faouzia Zegrari

Companies implement different frameworks and best practices with the objective to improve the project management success rate and improve the business adaptability to the changing business environment. Project management framework (PRINCE2)…

Software Engineering · Computer Science 2015-02-17 Martin Tomanek , Radim Cermak , Zdenek Smutny

Much of what we do is accomplished by working collaboratively with others, and a large portion of our lives are spent working and talking; the patterns embodied in the alternation of working and talking can provide much useful insight into…

Software Engineering · Computer Science 2014-04-24 Qi Xuan , Premkumar T Devanbu , Vladimir Filkov

Dynamic Information Flow Tracking (DIFT) is a technique to track potential security vulnerabilities in software and hardware systems at run time. The last fifteen years have seen a lot of research work on DIFT, including both hardware-based…

Cryptography and Security · Computer Science 2019-11-14 Ali Jahanshahi

Modern software development necessitates efficient version-oriented collaboration among developers. While Git is the most popular version control system, it generates unsatisfactory version merging results due to textual-based workflow,…

Software Engineering · Computer Science 2024-07-04 Qingyu Zhang , Junzhe Li , Jiayi Lin , Jie Ding , Lanteng Lin , Chenxiong Qian

The purpose of this review is to understand the importance of collaboration tools which are Slack, Microsoft Teams, Confluence in Agile and software projects. Agile methodologies rely on flexibility, using cycles and integration throughout…

Software Engineering · Computer Science 2025-06-16 Raman Mohammed Hussein , Bryar A. Hassan

Graph Neural Networks (GNNs) are powerful deep learning models to generate node embeddings on graphs. When applying deep GNNs on large graphs, it is still challenging to perform training in an efficient and scalable way. We propose a novel…

Machine Learning · Computer Science 2020-10-08 Hanqing Zeng , Hongkuan Zhou , Ajitesh Srivastava , Rajgopal Kannan , Viktor Prasanna

The data mining field is an important source of large-scale applications and datasets which are getting more and more common. In this paper, we present grid-based approaches for two basic data mining applications, and a performance…

Databases · Computer Science 2017-03-30 Lamine M. Aouad , Nhien-An Le-Khac , Tahar Kechadi

Discussions is a new feature of GitHub for asking questions or discussing topics outside of specific Issues or Pull Requests. Before being available to all projects in December 2020, it had been tested on selected open source software…

Software Engineering · Computer Science 2021-10-01 Hideaki Hata , Nicole Novielli , Sebastian Baltes , Raula Gaikovina Kula , Christoph Treude

Orchestrating service-oriented workflows is typically based on a design model that routes both data and control through a single point - the centralised workflow engine. This causes scalability problems that include the unnecessary…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-15 Ward Jaradat , Alan Dearle , Adam Barker

Since the Agile Manifesto, many organizations have explored agile development methods to replace traditional waterfall development. Interestingly, waterfall remains the most widely used practice, suggesting that there is something missing…

Software Engineering · Computer Science 2017-04-26 Ruslan Shaydulin , Justin Sybrandt