20 papers · ranked by Valyu relevance
Chathrie Wimalasooriya, Sherlock A. Licorish, Daniel Alencar da Costa, Stephen G. MacDonell
'Stephen G. MacDonell'] Intense competition in the mobile apps market means it is important to maintain high levels of app reliability to avoid losing users. Yet despite its importance, app reliability is underexplored in the research literature. To address this need, we identify, analyse, and classify the…
Awad Ali, Dayang N. A. Jawawi, Mohd Adham Isa, Muhammad Imran Babar + 1 more
'Yong Deng'] Behaviour models are the most commonly used input for predicting the reliability of a software system at the early design stage. A component behaviour model reveals the structure and behaviour of the component during the execution of system-level functionalities. There are various challenges related to…
Kevin Taylor-Sakyi
— This paper presents the core principles of reliability in software engineering; outlining why reliability testing is critical and specifying the process of measuring reliability. The paper provides insight for both novice and experts in the software engineering field for assessing failure intensity as well as…
Awad Ali, Mohammed Bakri Bashir, Alzubair Hassan, Rafik Hamza + 5 more
'Samar M. Alqhtani' 'Tawfeeg Mohmmed Tawfeeg' 'Adil Yousif' 'Juan M. Corchado' 'Naveen Chilamkurti'] Software reliability is prioritised as the most critical quality attribute. Reliability prediction models participate in the prevention of software failures which can cause vital events and disastrous consequences in…
James Cusick
— Software Reliability has just passed the 50-year milestone as a technical discipline along with Software Engineering. This paper traces the roots of Software Reliability Engineering (SRE) from its pre-software history to the beginnings of the field with the first software reliability model in 1967 through its…
Anton Petrov, Elena Popova, Oleksandr Petrov
Obviously, the dynamism of software reliability research has speeded up significantly in the last period, and we can state the fact that its intensity is approaching, and in some cases is ahead of the information systems hardware reliability research intensity. Reliability of software is much more important than its…
Robert V. Binder
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or…
Manar Abu Talib
Versatility, flexibility and robustness are essential requirements for software forensic tools. Researchers and practitioners need to put more effort into assessing this type of tool. A Markov model is a robust means for analyzing and anticipating the functioning of an advanced component based system. It is used, for…
Yuzhuo Wang, Haitao Liu, Haojie Yuan, Zhihua Zhang + 1 more
The component-based software system has a core that is based on architecture design. Predicting the reliability growth trends of a software system in the early stages of the development process is conducive to reducing waste and loss caused by blind development. Restricted by the lack of information and data in the…
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…
Thomas Rhodes, Frederick Boland, Elizabeth Fong, Michael Kass
Software assurance is an important part of the software development process to reduce risks and ensure that the software is dependable and trustworthy. Software defects and weaknesses can often lead to software errors and failures and to exploitation by malicious users. Testing, certification and accreditation have…
Eva Martín del Pico, Josep Lluis Gelpi, Salvador Capella-Gutiérrez
Software plays a crucial and growing role in research. Unfortunately, the computational component in Life Sciences research is challenging to reproduce and verify most of the time. It could be undocumented, opaque, may even contain unknown errors that affect the outcome, or be directly unavailable, and impossible to…
Fuzhan Rahmanian, Stefan Fuchs, Maximilian Fichtner, Helge Sören Stein
Discoveries of novel electrolyte-electrode combinations require comprehensive structure-propertyinterface correlations. Herein, we present an autonomous millimeter scale high-throughput battery research system (MISCHBARES) operated by hierarchical autonomous laboratory automation and orchestration (HELAO) which…
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
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…
Authors not listed
The rapid growth of worldwide computing power has transformed in silico chemistry into a discipline that is integrated into the daily work of many chemists. Nowadays, researchers find it increasingly straightforward to predict a wide range of molecular properties and chemi- cal processes at reasonable computational…
Keiji Ota, Anthony Ciston, Patrick Haggard, Thibault Gajdos Preuss + 1 more
A key challenge in today’s fast-paced digital world is to integrate information from various sources, which differ in their reliability. Yet, little is known about how explicit probabilistic information on the likelihood of a source to provide correct information is used in decision-making. Here, we investigated how…
Keiji Ota, Anthony Ciston, Patrick Haggard, Thibault Gajdos Preuss + 1 more
A key challenge in today’s fast-paced digital world is to integrate information from various sources, which differ in their reliability. Yet, little is known about how explicit probabilistic information about the likelihood that a source provides correct information is used in decision-making. Here, we investigated how…
Helena A. Herrmann, Pablo I. Calzadilla, Jean-Marc Schwartz, Giles N. Johnson
Plants acclimate their photosynthetic capacity in response to changing environmental conditions. In Arabidopsis thaliana, photosynthetic acclimation to cold requires the accumulation of the organic acid fumarate, catalysed by a cytosolic fumarase FUM2, however the role of this is currently unclear. In this study, we…
Gang Chen, Daniel S. Pine, Melissa A. Brotman, Ashley R. Smith + 2 more
The concept of test-retest reliability indexes the consistency of a measurement across time. High reliability is critical for any scientific study, but specifically for the study of individual differences. Evidence of poor reliability of commonly used behavioral and functional neuroimaging tasks is mounting. Reports on…