20 papers · ranked by Valyu relevance
Intakhab Alam, Nadeem Sarwar, Iram Noreen, M. Usman Ashraf
Software Development Process Model (SDPM) develops software according to the needs of the client within the defined budget and time. There are many software development models such as waterfall, Iterative, Rapid Application Development (RAD), Spiral, Agile, Z, and AZ model. Each development model follows a series of…
Falk Schreiber, Tobias Czauderna, Dimitar Garkov, Niklas Gröne + 4 more
'Karsten Klein' 'Matthias Lange' 'Uwe Scholz' 'Björn Sommer'] Title: Abstract Sustainable software development requires the software to remain accessible and maintainable over long time. This is particularly challenging in a scientific context. For example, fewer than one third of tools and platforms for biological…
Jones Yeboah, Izunna Okpala, Sylvia Azumah, Victor Adewopo + 1 more
'Hazem Said'] This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation,broadcasting, reproduction on microfilms or in any other physical way, and…
Anne-Christin Hauschild, Roman Martin, Sabrina Celine Holst, Joachim Wienbeck + 1 more
'Joachim Wienbeck' 'Dominik Heider'] Title: Summary The long-lasting trend of medical informatics is to adapt novel technologies in the medical context. In particular, incorporating artificial intelligence to support clinical decision-making can significantly improve monitoring, diagnostics, and prognostics for the…
Arif Ali Khan, Javed Ali Khan, Muhammad Azeem Akbar, Peng Zhou + 1 more
'Mahdi Fahmideh'] Context: Software practitioners adopt approaches like DevOps, Scrum, and Waterfall for high-quality software development. However, limited research has been conducted on exploring software development approaches concerning practitioners' discussions on Q&A forums. Objective: We conducted an empirical…
Johannes Wachs, Xiangnan Feng, Simone Daniotti, Frank Neffke
With the rise of new industries, often new jobs emerge. Evolutionary Economic Geography and in particular Industry Life Cycle perspectives predict that these activities first emerge in a limited number of cities to then diffuse to other locations as job descriptions become more standardized. Here, we focus on a…
Antonios Saravanos, Matthew X. Curinga
This study employs a simulation-based approach, adapting the waterfall model, to provide estimates for software project and individual phase completion times. Additionally, it pinpoints potential efficiency issues stemming from suboptimal resource levels. We implement our software development lifecycle simulation using…
Glaucia Melo, Luis Fernando Lins, Paulo Alencar, Don A. Cowan
—Software Development (SD) is remarkably dynamic and is critically dependent on the knowledge acquired by the project's software developers as the project progresses. Software developers need to understand large amounts of information related to the tasks at hand. This information (context) is often not explicit, as it…
Karen Renaud
Software runs our modern day lives: our shopping, our transport and our medical devices. Hence, no citizen can escape the consequences of poor software engineering. A closely-aligned concern, which also touches every aspect of our lives, is cyber security. Software has to be developed with cybersecurity threats in…
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…
Ihsan Tolga Medeni, Metehan Ünal, Roberto Galizi, Bryan Bartley + 4 more
Large language models have transformed software engineering practices. However, generated artefacts are not always developer-friendly and may partially meet complex requirements. As the need to standardise, integrate, and develop tools in engineering biology increases, novel approaches are needed to create and maintain…
Tristan Zaborniak, Noora Azadvari, Qiyao Zhu, S.M. Bargeen A. Turzo + 3 more
Although canonical protein design has benefited from machine learning methods trained on databases of protein sequences and structures, synthetic heteropolymer design still relies heavily on physics-based methods. The Rosetta software, which provides diverse physics-based methods for designing sequences, exploring…
Wang Li, Chih-Chiang Fang, Iftikhar Ahmed Khan
Enhancing software quality remains a main objective for software developers and engineers, with a specific emphasis on improving software stability to increase user satisfaction. Developers must balance rigorous software testing with tight schedules and budgets. This often forces them to choose between quality and…
José Marcos Gomes, Luis Alberto Vieira Dias
A view on software testing, taken in a broad sense and considered a important activity is presented. We discuss the methods and techniques for applying tests and the reasons we recognize make it difficult for industry to adopt the advances observed in academia. We discuss some advances in the area and briefly point out…
Authors not listed
The widespread adoption of open-source cheminformatics toolkits remains constrained by technical implementation barriers, including complex installation procedures, dependency management, and integration challenges. Here, we present Cheminformatics Microservice V3, a significant update to the existing platform that…
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…
Paul P. Gardner
The development of accurate bioinformatic software tools is crucial for the effective analysis of complex biological data. This study examines the relationship between the academic department affiliations of authors and the accuracy of the bioinformatic tools they develop. By analyzing a corpus of previously…
Erin Looney, Andre Buscariolli, Maria Yang, Geoffrey Raymond + 2 more
Hardware-based startups risk having longer times-to-market, deterring investment in critical fields such as cleantech, medical devices, and automation. We interviewed 55 leaders at hardware startups, mapped their development timelines, and found prototyping to be the longest development step (median of 19 weeks per…
Raquel Lopez-Rios de Castro, Alejandro Santana-Bonilla, Robert M. Ziolek, Christian D. Lorenz
Molecular dynamics simulations have become an essential tool in the study of soft matter and biological macromolecules. The large amount of high-dimensional data produced by such simulations does not immediately elucidate the atomistic mechanisms that underlie complex materials and molecular processes. Analysis of…
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…