Search · four archives
Search · four archives
21 papers · ranked by Valyu relevance
Junaid Nasir Qureshi, Muhammad Shoaib Farooq, Mohammed Shuaib
Software Development based on Scrum Agile in a distributed development environment plays a pivotal role in the contemporary software industry by facilitating software development across geographic boundaries. However, in the past different frameworks utilized to address the challenges like communication and…
Mohammad Reza Besharati
Distribution can be a feature of the software evolution process. In other words, temporally and spatially distributed teams and organizations can develop and work on a software application. The simplest case is to outsource production and employ workforce at distributed sites so that multiple distributed teams can work…
Sachin Lakra, Deepak Kumar Sharma
Distributed Software Development today is in its childhood and not too widespread as a method of developing software in the global IT Industry. In this context, Petrinets are a mathematical model for describing distributed systems theoretically, whereas AttNets are one of their offshoots. But development of true…
Dimah Al-Fraihat, Yousef Sharrab, Abdel-Rahman Al-Ghuwairi, Hamza Alzabut + 2 more
Distributed agile software development (DASD) has become a prominent software development approach. Proper task allocation is crucial in DASD to avoid undesirable outcomes including project rejection by clients, unfavorable team attitudes, and project failure. Coordination and communication issues occur as businesses…
Christian Bartelt, Manfred Broy, Christoph Herrmann, Eric Knauss + 4 more
'Marco Kuhrmann' 'Andreas Rausch' 'Bernhard Rumpe⋆' 'Kurt Schneider'] 1 Technische Universität Clausthal, Software Systems Engineering Julius-Albert-Str. 4, 38678 Clausthal-Zellerfeld, Germany {bartelt | rausch}@tu-clausthal.de 2 Techniche Universität München, Institut für Informatik – I4 Boltzmannstr. 3, 85748…
Asim Iftikhar, Muhammad Alam, Rizwan Ahmed, Shahrulniza Musa + 1 more
The demand for global software development is growing. The nonavailability of software experts at one place or a country is the reason for the increase in the scope of global software development. Software developers who are located in different parts of the world with diversified skills necessary for a successful…
Saad Yasser Chadli, Ali Idri, Joaquín Nicolás Ros, José Luis Fernández-Alemán + 2 more
'José Luis Fernández-Alemán' 'Juan M. Carrillo de Gea' 'Ambrosio Toval'] Global software development (GSD) which is a growing trend in the software industry is characterized by a highly distributed environment. Performing software project management (SPM) in such conditions implies the need to overcome new limitations…
En Ye, Xin Ye, Chang Liu, Fabio Calefato
The awareness of others’ activities has been widely recognized as essential in facilitating coordination in a team among Computer-Supported Cooperative Work communities. Several field studies of software developers in large software companies such as Microsoft have shown that coworker and artifact awareness are the…
Aneesh Khole, Atharva Thakar, Avadhoot Kulkarni, Hrithik Jadhav + 2 more
'Shreyas Shende' 'Varad Karajkhede'] Abstract— Computer systems have evolved over the years starting from sizable, single-user, slow, and expensive machines to multi-user, fast, cheaper, and small-sized machines. The use of multi-user computer networks has given rise to a new paradigm of computing known as Distributed…
Javed Iqbal, Rodina B. Ahmad, Muzafar Khan, Fazal-e-Amin + 5 more
'Sultan Alyahya' 'Mohd Hairul Nizam Nasir' 'Adnan Akhunzada' 'Muhammad Shoaib' 'Baogui Xin'] Software development outsourcing is becoming more and more famous because of the advantages like cost abatement, process enhancement, and coping with the scarcity of needed resources. Studies confirm that unfortunately a large…
Authors not listed
The increasing importance and predictive power of modern molecular modeling, driven by physics- and machine learning-based methods, necessitates a new collaborative architecture to replace the isolated, traditional model of software development. The traditional approach often led to redundant engineering effort, high…
Pierre Carrier, Bill Long, Richard Walsh, Jef Dawson + 4 more
High Performance Computing (HPC) Best Practice offers opportunities to implement lessons learned in areas such as computational chemistry and physics in genomics workflows, specifically Next-Generation Sequencing (NGS) workflows. In this study we will briefly describe how distributed-memory parallelism can be an…
Authors not listed
Machine learning models are transforming data-driven research across scientific disciplines, yet their deployment as accessible and reliable web services remains a significant challenge. We introduce the NERDD framework, a scalable, maintainable, and secure microservices platform designed to support the sustainable…
Sikao Guo, Nenad Korolija, Kent Milfeld, Adip Jhaveri + 3 more
Particle-based reaction-diffusion models offer a high-resolution alternative to the continuum reaction-diffusion approach, capturing the discrete and volume-excluding nature of molecules undergoing stochastic dynamics. These methods are thus uniquely capable of simulating explicit self-assembly of particles into…
Christopher Woods, Lester Hedges, Adrian Mulholland, Maturos Malaisree + 10 more
Sire is a Python/C++ library that is used to both prototype new algorithms and as an interoperability engine for exchanging information between molecular simulation programs. It provides a collection of file parsers and information converters that together make it easier to combine and leverage the functionality of…
Federico Marotta, Oliver Stolpe, Benedikt Obermayer, January Weiner + 3 more
In many bioinformatic data analysis projects, it is convenient to visualize plots and results through an interactive web app or dashboard. These interactive reports can then be shared with customers, collaborators, or the general public. Publishing and sharing these apps is not straightforward, becoming especially…
Lester Melie-Garcia, Bogdan Draganski, John Ashburner, Ferath Kherif
We propose a Multiple Linear Regression (MLR) methodology for the analysis of distributed and Big Data in the framework of the Medical Informatics Platform (MIP) of the Human Brain Project (HBP). MLR is a very versatile model, and is considered one of the workhorses for estimating dependences between clinical…
Azza E Ahmed, Joshua M Allen, Tajesvi Bhat, Prakruthi Burra + 16 more
The changing landscape of genomics research and clinical practice has created a need for computational pipelines capable of efficiently orchestrating complex analysis stages while handling large volumes of data across heterogeneous computational environments. Workflow Management Systems (WfMSs) are the software…
Lukas Breitwieser, Ahmad Hesam, Jean de Montigny, Vasileios Vavourakis + 9 more
Computer simulation is an indispensable tool for studying complex biological systems. In particular, agent-based modeling is an attractive method to describe biophysical dynamics. However, two barriers limit faster progress. First, simulators do not always take full advantage of parallel and heterogeneous hardware.…
Authors not listed
Scientific discovery relies on innovative software as much as experimental methods, especially in proteomics, where computational tools are essential for mass spectrometer setup, data analysis, and interpretation. Since the introduction of SEQUEST, proteomics software has grown into a complex ecosystem of algorithms…
Authors not listed
Self-driving laboratories (SDLs) promise accelerated scientific discovery and product development by closing the loop between robotic execution and AI/ML-driven decision making. In practice, however, SDL orchestration remains fragmented; workflows are typically encoded as laboratory-specific scripts or bespoke…