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Related papers: Impact of Errors in Operational Spreadsheets

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Offline evaluations of recommender systems attempt to estimate users' satisfaction with recommendations using static data from prior user interactions. These evaluations provide researchers and developers with first approximations of the…

Information Retrieval · Computer Science 2020-01-28 Mucun Tian , Michael D. Ekstrand

Quantitative research relies heavily on coding, and coding errors are relatively common even in published research. In this paper, we examine whether individuals are more or less likely to check their code depending on the results they…

General Economics · Economics 2025-09-26 Bruno Ferman , Lucas Finamor

Simulation studies are commonly used in methodological research for the empirical evaluation of data analysis methods. They generate artificial data sets under specified mechanisms and compare the performance of methods across conditions.…

Methodology · Statistics 2025-07-11 Samuel Pawel , František Bartoš , Björn S. Siepe , Anna Lohmann

Computational models in chemistry rely on a number of approximations. The effect of such approximations on observables derived from them is often unpredictable. Therefore, it is challenging to quantify the uncertainty of a computational…

Chemical Physics · Physics 2017-04-21 Gregor N. Simm , Jonny Proppe , Markus Reiher

Research in operations management has traditionally focused on models for understanding, mostly at a strategic level, how firms should operate. Spurred by the growing availability of data and recent advances in machine learning and…

General Economics · Economics 2019-05-03 Velibor V. Mišić , Georgia Perakis

Many organizations adopt DevOps practices and tools in order to break down silos within the organization, improve software quality and delivery, and increase customer satisfaction. However, the impact of the individual practices on the…

Software Engineering · Computer Science 2023-11-23 Tyron Offerman , Robert Blinde , Christoph Johann Stettina , Joost Visser

Model efficiency is a critical aspect of developing and deploying machine learning models. Inference time and latency directly affect the user experience, and some applications have hard requirements. In addition to inference costs, model…

Machine Learning · Computer Science 2022-03-17 Mostafa Dehghani , Anurag Arnab , Lucas Beyer , Ashish Vaswani , Yi Tay

Selecting a subset of cells is a common task in data engineering, for example, to remove errors or select only specific parts of a table. Multiple approaches to express this selection exist. One option is numeric indexing, commonly found in…

Programming Languages · Computer Science 2025-05-30 Philip Heltweg , Dirk Riehle , Georg-Daniel Schwarz

We have conducted an empirical investigation into the long term survival rates of some small but representative samples of the 30,000 largest UK limited companies. These companies were either a control or known to have used, or been…

Computers and Society · Computer Science 2012-07-10 Grenville J. Croll

Many researchers work on improving the data efficiency of machine learning. What would happen if they succeed? This paper explores the social-economic impact of increased data efficiency. Specifically, we examine the intuition that data…

Computers and Society · Computer Science 2020-01-16 Aaron D. Tucker , Markus Anderljung , Allan Dafoe

We present Risk Integrated's Enterprise Spreadsheet Platform (ESP), a technical approach to the near-elimination of spreadsheet risk in the enterprise computing environment, whilst maintaining the full flexibility of spreadsheets for…

Software Engineering · Computer Science 2008-03-13 Yusuf Jafry , Fredrika Sidoroff , Roger Chi

Spreadsheet workbook contents are simple programs. Because of this, probabilistic programming techniques can be used to perform Bayesian inversion of spreadsheet computations. What is more, existing execution engines in spreadsheet…

Artificial Intelligence · Computer Science 2016-06-15 Mike Wu , Yura Perov , Frank Wood , Hongseok Yang

As the need for advanced, interactive mathematical models has increased, user/programmers are increasingly choosing the MatLab scripting language over spreadsheets. However, applications developed in these tools have high error risk, and no…

Human-Computer Interaction · Computer Science 2008-03-14 Deborah Cernauskas , Andrew Kumiega , Ben VanVliet

Evaluation harnesses are software systems that orchestrate model evaluation by managing model invocation, data loading, metric computation, and result reporting. Despite their critical role in machine learning infrastructure, their…

Software Engineering · Computer Science 2026-05-26 Zhimin Zhao , Zehao Wang , Abdul Ali Bangash , Bram Adams , Ahmed E. Hassan

Spreadsheet formula prediction has been an important program synthesis problem with many real-world applications. Previous works typically utilize input-output examples as the specification for spreadsheet formula synthesis, where each…

Software Engineering · Computer Science 2021-06-30 Xinyun Chen , Petros Maniatis , Rishabh Singh , Charles Sutton , Hanjun Dai , Max Lin , Denny Zhou

In this paper, we investigate the effect of incorrect disk replacement service on the availability of data storage systems. To this end, we first conduct Monte Carlo simulations to evaluate the availability of disk subsystem by considering…

Performance · Computer Science 2018-06-06 Mostafa Kishani , Reza Eftekhari , Hossein Asadi

In this paper we explore the problem of achieving efficient packet transmission over unreliable links with worst case occurrence of errors. In such a setup, even an omniscient offline scheduling strategy cannot achieve stability of the…

Networking and Internet Architecture · Computer Science 2013-06-10 Antonio Fernández Anta , Chryssis Georgiou , Dariusz R. Kowalski , Joerg Widmer , Elli Zavou

Spreadsheets are end-user programs and domain models that are heavily employed in administration, financial forecasting, education, and science because of their intuitive, flexible, and direct approach to computation. As a result,…

Databases · Computer Science 2014-01-30 Michael Kohlhase , Corneliu Prodescu , Christian Liguda

Spreadsheets provide a flexible and easy to use software development environment, but that leads to error proneness. Work has been done to prevent errors in spreadsheets, including using models to specify distinct parts of a spreadsheet as…

Software Engineering · Computer Science 2017-07-11 Jorge Mendes , João Saraiva

Computational notebooks, which integrate code, documentation, tags, and visualizations into a single document, have become increasingly popular for data analysis tasks. With the advent of immersive technologies, these notebooks have evolved…

Human-Computer Interaction · Computer Science 2025-08-21 Sungwon In , Ayush Roy , Eric Krokos , Kirsten Whitley , Chris North , Yalong Yang
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