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There exist many methods for sensitivity analysis readily available to the practitioner. While each seeks to help the modeler answer the same general question -- How do sources of uncertainty or changes in the model inputs relate to…

Methodology · Statistics 2025-06-16 Devin Francom , Abigael Nachtsheim

The causes of the reproducibility crisis include lack of standardization and transparency in scientific reporting. Checklists such as ARRIVE and CONSORT seek to improve transparency, but they are not always followed by authors and peer…

Context: Systematic literature reviews (SLRs) have become standard practise as part of software engineering research, although their quality varies. To build on the reviews, both for future research and industry practice, they need to be of…

Software Engineering · Computer Science 2024-10-08 Muhammad Usman , Nauman bin Ali , Claes Wohlin

Reducing the cost and delay and improving quality are major issues for product and software development, especially in the automotive domain. Product line engineering is a wellknown approach to engineer systems with the aim to reduce costs…

Software Engineering · Computer Science 2023-11-01 Pascal Krapf , Sébastien Berthier , Nicole Levy

Sensitivity analysis is an important tool used in many domains of computational science to either gain insight into the mathematical model and interaction of its parameters or study the uncertainty propagation through the input-output…

Methodology · Statistics 2023-06-02 Juraj Kardos , Wouter Edeling , Diana Suleimenova , Derek Groen , Olaf Schenk

A software analysis is a computer program that takes some representation of a software product as input and produces some useful information about that product as output. A software product line encompasses \emph{many} software product…

Programming Languages · Computer Science 2020-10-05 Ramy Shahin , Marsha Chechik

The rigorous tools of convex analysis are used to examine various serial and parallel combinations of linear viscosity and perfect plasticity. Nonlinear viscosities are also considered. The general aim is to synthesize a single convex…

Mathematical Physics · Physics 2026-04-20 Tomáš Roubíček

Language models (LMs) are powerful yet mostly for text generation tasks. Tools have substantially enhanced their performance for tasks that require complex skills. However, many works adopt the term "tool" in different ways, raising the…

Computation and Language · Computer Science 2024-03-26 Zhiruo Wang , Zhoujun Cheng , Hao Zhu , Daniel Fried , Graham Neubig

Tool learning methods have enhanced the ability of large language models (LLMs) to interact with real-world applications. Many existing works fine-tune LLMs or design prompts to enable LLMs to select appropriate tools and correctly invoke…

Computation and Language · Computer Science 2024-07-04 Chengrui Huang , Zhengliang Shi , Yuntao Wen , Xiuying Chen , Peng Han , Shen Gao , Shuo Shang

We introduce two new tools to assess the validity of statistical distributions. These tools are based on components derived from a new statistical quantity, the $comparison$ $curve$. The first tool is a graphical representation of these…

Methodology · Statistics 2024-05-16 Gilles R. Ducharme , Teresa Ledwina

Prototyping is one of the core activities of User-Centered Design (UCD) processes and an integral component of Human-Computer Interaction (HCI) research. For many years, prototyping was synonym of paper-based mockups and only more recently…

Human-Computer Interaction · Computer Science 2019-06-05 Thiago Rocha , Jean-Luc Hak , Marco Winckler , Olivier Nicolas

Because of increasing amounts of intermittent and distributed generators in power systems, many demand response programs have been developed to schedule flexible energy consumption. However, proper benchmarks for comparing these methods are…

Systems and Control · Electrical Eng. & Systems 2021-03-19 Koos van der Linden , Natalia Romero , Mathijs M. de Weerdt

Statistics experiences a storm around the perceived misuse and possible abuse of its methods in the context of the so-called reproducibility crisis. The methods and styles of quantification practiced in mathematical modelling rarely make it…

Methodology · Statistics 2019-08-20 Andrea Saltelli

We detail some lessons learned while designing and testing a decision-theoretic advising support tool for undergraduates at a large state university. Between 2009 and 2011 we conducted two surveys of over 500 students in multiple majors and…

Computers and Society · Computer Science 2014-05-30 Nicholas Mattei , Thomas Dodson , Joshua T. Guerin , Judy Goldsmith , Joan M. Mazur

Feature requests are proposed by users to request new features or enhancements of existing features of software products, which represent users' wishes and demands. Satisfying users' demands can benefit the product from both competitiveness…

Software Engineering · Computer Science 2026-02-27 Feifei Niu , Chuanyi Li , Haosheng Zuo , Jionghan Wu , Xin Xia

The prevalence of online platforms and studies has generated the demand for automated grading tools, and as a result, there are plenty in the market. Such tools are developed to grade coding assignments quickly, accurately, and…

Computers and Society · Computer Science 2022-12-06 Aditi Agrawal , Benjamin Reed

Systematic exploration of hypotheses is a major part of any empirical research. In software engineering, we often produce unique tools for experiments and evaluate them independently on different data sets. In this paper, we present…

Software Engineering · Computer Science 2021-10-13 Christian Kröher , Sascha El-Sharkawy , Klaus Schmid

The great majority of engineered products are subject to thermo-mechanical loads which vary with the product environment during the various phases of its life-cycle (machining, assembly, intended service use...). Those load variations may…

Classical Physics · Physics 2009-05-07 Guillaume Mandil , Alain Desrochers , Alain Rivière

The explosion in the use of software in important sociotechnical systems has renewed focus on the study of the way technical constructs reflect policies, norms, and human values. This effort requires the engagement of scholars and…

Computers and Society · Computer Science 2019-09-27 Deirdre K. Mulligan , Joshua A. Kroll , Nitin Kohli , Richmond Y. Wong

While Sustainable Software Engineering (SSE) tools are widely studied in academia, their practical feasibility in industrial workflows, particularly in regulated environments, remains poorly understood. This study investigates how software…

Software Engineering · Computer Science 2026-04-01 Satwik Ghanta , Peggy Gregory , Gul Calikli
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