24 papers · ranked by Valyu relevance
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…
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…
Suryanto Nugroho, Sigit Hadi, Luqman Hakim
Any organization that will develop software is faced with a difficult choice of choosing the right software development method. Whereas the software development methods used, play a significant role in the overall software development process. Software development methods are needed so that the software development…
Toni Stojanovski, Tomislav Dzekov
Software development is still based on manufactory production, and most of the programming code is still hand-crafted. Software development is very far away from the ultimate goal of industrialization in software production, something which has been achieved long time ago in the other industries. The lack of software…
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…
Martha M. Gray
In 1959 the Director of the National Bureau of Standards declared “The emergence of science and technology as the paramount concern of the Nation in the 20th century … demanded the highest order of measurement competence, in order to provide the standards and measurement techniques on which maintenance of scientific…
Michael Felderer, Ralf Reussner, Bernhard Rumpe⋆
Die Digitalisierung wirkt sich nicht nur auf die Gesellschaft aus, sie verlangt auch eine Neubestimmung des Standorts der Informatik und der InformatikerInnen, wie sie der Wissenschaftsjournalist Yogeshwar in seinem obigen Zitat anregt. Da gerade sämtliche Aspekte der Digitalisierung auf Software beruhen, soll dieser…
Isabel M. del Águila, José Palma, Samuel Túnez
We present a review of the historical evolution of software engineering, intertwining it with the history of knowledge engineering because “those who cannot remember the past are condemned to repeat it.” This retrospective represents a further step forward to understanding the current state of both types of…
Ahmed Mateen, Muhammad Jahanzaib, Nayyar Iqbal
In the product business still battles with the hard assignment of creating programming applications that meet quality gauges, and spending limitations. The requirement for programming to be without mistake remained a test to the IT business. Hence, the basic role of this study is to answer why officials hesitant to…
Laurie McLeod, Stephen G. MacDonell, Bill Doolin
This paper reports the use of a qualitative methodology for conducting longitudinal case study research on software development. We provide a detailed description and explanation of appropriate methods of qualitative data collection and analysis that can be utilized by other researchers in the software engineering…
Evgeny Pyshkin
This paper follows a discourse on software recognized as a product of art and human creativity progressing probably for as long as software exists. A retrospective view on computer science and software philosophy development is introduced. In so doing we discover parallels between software and various branches of human…
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…
Reyes Juárez‐Ramírez, Karen Cortés Verdín, Beatriz Angélica Toscano de la Torre, Hanna Oktaba + 3 more
'Beatriz Angélica Toscano de la Torre' 'Hanna Oktaba' 'Carlos Alberto Fernández-y-Fernández' 'Brenda L. Flores-Ríos' 'Fabíola Molina'] La ingeniería de software es una disciplina relativamente nueva comparada con otras ciencias, ya que los orígenes del término como tal se remontan a los años 1968 y 1969. En la…
Olaperi Yeside Sowunmi, Sanjay Misra, Luis Fernandez-Sanz, Broderick Crawford + 1 more
'Broderick Crawford' 'Ricardo Soto'] Background The importance of quality assurance in the software development process cannot be overemphasized because its adoption results in high reliability and easy maintenance of the software system and other software products. Software quality assurance includes different…
Adrian Zapletal, Dimitri Höhler, Carsten Sinz, Alexandros Stamatakis
Scientific software from all areas of scientific research is pivotal to obtaining novel insights. Yet the quality of scientific software is rarely assessed, even though it might lead to incorrect scientific results in the worst case. Therefore, we have developed an open source tool and benchmark called SoftWipe, that…
Mamdouh Alenezi, Mohammad Zarour
This work aims at discussing the complexity aspect of software while demonstrating its relationship with security. Complexity is an essential part of software; however, numerous studies indicate that they increase the vulnerability of the software systems and introduce bugs in the program. Many developers face…
Serghei Mangul, Thiago Mosqueiro, Dat Duong, Keith Mitchell + 12 more
Developing new software tools for analysis of large-scale, biological data is a key component of advancing computational, data-enabled research. Scientific reproduction of published findings requires running computational tools on data generated by such studies, yet little attention is presently allocated to the…
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…
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…
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…
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…
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…
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…