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In the case of informative sampling the sampling scheme explicitly or implicitly depends on the response variable. As a result, the sample distribution of response variable can- not be used for making inference about the population. In this…

Applications · Statistics 2016-11-18 Anna Sikov

Simulated Moving Bed (SMB) chromatography is a well-known technique for the resolution of several high-value-added compounds. Parameters identification and model topology definition are arduous when one is dealing with complex systems such…

Dynamic model inference techniques have been the center of many research projects recently. There are now multiple open source implementations of state-of-the-art algorithms, which provide basic abstraction and merging capabilities. Most of…

Software Engineering · Computer Science 2019-04-01 Mohammad Jafar Mashhadi , Hadi Hemmati

Regression testing is an essential activity to assure that software code changes do not adversely affect existing functionalities. With the wide adoption of Continuous Integration (CI) in software projects, which increases the frequency of…

Software Engineering · Computer Science 2022-09-07 Rongqi Pan , Mojtaba Bagherzadeh , Taher A. Ghaleb , Lionel Briand

To support the development of internet-of-things applications, an enormous population of low-power devices are expected to be incorporated in wireless networks performing sensing and communication tasks. As a key technology for improving…

Information Theory · Computer Science 2024-02-20 Xiaoyang Li , Zidong Han , Guangxu Zhu , Yuanming Shi , Jie Xu , Yi Gong , Qinyu Zhang , Kaibin Huang , Khaled B. Letaief

Fast and accurate sampling method is in high demand, in order to bridge the large gaps between molecular dynamic simulations and experimental observations. Recently, integrated tempering enhanced sampling method (ITS) has been proposed and…

Numerical Analysis · Mathematics 2018-06-22 Zhiyi You , Liying Li , Jianfeng Lu , Hao Ge

Industrial Edge AI programs often begin with the model and only later confront the platform. That sequencing is attractive because it allows early demonstrations, but it breaks down when the deployment target is an embedded system with long…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-27 Pitchai Muthu M

Context: New software development patterns are emerging aiming at accelerating the process of delivering value. One is Continuous Experimentation, which allows to systematically deploy and run instrumented software variants during…

Software Engineering · Computer Science 2020-09-14 Federico Giaimo , Hugo Andrade , Christian Berger

The Experience Sampling Method (ESM) introduces in-situ sampling of human behaviour, and provides researchers and behavioural therapists with ecologically valid and timely assessments of a person's psychological state. This, in turn, opens…

Human-Computer Interaction · Computer Science 2015-08-18 Veljko Pejovic , Neal Lathia , Cecilia Mascolo , Mirco Musolesi

There has been a significant amount of interest regarding the use of diversity-based testing techniques in software testing over the past two decades. Diversity-based testing (DBT) technique uses similarity metrics to leverage the…

Software Engineering · Computer Science 2025-04-18 Islam T. Elgendy , Robert M. Hierons , Phil McMinn

There has been growing interest in parameter-efficient methods to apply pre-trained language models to downstream tasks. Building on the Prompt Tuning approach of Lester et al. (2021), which learns task-specific soft prompts to condition a…

Computation and Language · Computer Science 2022-03-18 Tu Vu , Brian Lester , Noah Constant , Rami Al-Rfou , Daniel Cer

Since the first online demonstration of Neural Machine Translation (NMT) by LISA, NMT development has recently moved from laboratory to production systems as demonstrated by several entities announcing roll-out of NMT engines to replace…

Simulation-based software testing supports engineers in finding faults in Simulink models. It typically relies on search algorithms that iteratively generate test inputs used to exercise models in simulation to detect design errors. While…

Software Engineering · Computer Science 2022-12-23 Federico Formica , Tony Fan , Akshay Rajhans , Vera Pantelic , Mark Lawford , Claudio Menghi

Behavior Driven Development (NORTH, 2006) is a specification technique that is growing in acceptance in the Agile methods communities. BDD allows to securely verify that all functional requirements were treated properly by source code, by…

Software Engineering · Computer Science 2010-05-28 Rogerio Atem de Carvalho , Rodrigo Soares Manhães , Fernando Luis de Carvalho e Silva

Context: The complexity of modern safety-critical systems in industries keep on increasing due to the rising number of features and functionalities. This calls for formal methods in order to entrust confidence in such systems. Nevertheless,…

Software Engineering · Computer Science 2021-08-17 Arut Prakash Kaleeswaran , Arne Nordmann , Thomas Vogel , Lars Grunske

The prevalence of software systems has become an integral part of modern-day living. Software usage has increased significantly, leading to its growth in both size and complexity. Consequently, software development is becoming a more…

Software Engineering · Computer Science 2023-06-07 Tiago Dias , Arthur Batista , Eva Maia , Isabel Praça

Successful transfer of the results of research projects into practice is of great interest to all project participants. It can be assumed that different transfer mediums fulfill technology transfer (TT) with different levels of success and…

Software Engineering · Computer Science 2016-12-06 F. Grigoleit , A. Vetrò , D. Méndez Fernández , W. Böhm , P. Diebold

The authors design and demonstrate a process for carrying out design science (DS) research in information systems and demonstrate use of the process to conduct research in two case studies. Several IS researchers have pioneered the…

Software Engineering · Computer Science 2020-06-05 Ken Peffers , Tuure Tuunanen , Charles E Gengler , Matti Rossi , Wendy Hui , Ville Virtanen , Johanna Bragge

In modern software development change-based testing plays a crucial role. However, as codebases expand and test suites grow, efficiently managing the testing process becomes increasingly challenging, especially given the high frequency of…

Transferability scores aim to quantify how well a model trained on one domain generalizes to a target domain. Despite numerous methods proposed for measuring transferability, their reliability and practical usefulness remain inconclusive,…

Machine Learning · Computer Science 2025-04-30 Alireza Kazemi , Helia Rezvani , Mahsa Baktashmotlagh
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