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In this paper we propose an approach to the design of processes and software that aims at decreasing human and software errors, that so frequently happen, making affected people using and wasting a lot of time for the need of fixing the…

Software Engineering · Computer Science 2022-07-04 Fabrizio d'Amore

Many software developments projects fail due to quality problems. Software testing enables the creation of high quality software products. Since it is a cumbersome and expensive task, and often hard to manage, both its technical background…

Software Engineering · Computer Science 2015-03-17 Tim A. Majchrzak

Experimentation is an essential method for causal inference in any empirical discipline. Crossover-design experiments are common in Software Engineering (SE) research. In these, subjects apply more than one treatment in different orders.…

Software Engineering · Computer Science 2025-01-08 Julian Frattini , Davide Fucci , Sira Vegas

A common form of phishing training in organizations is the use of simulated phishing emails to test employees' susceptibility to phishing attacks, and the immediate delivery of training material to those who fail the test. This widespread…

Cryptography and Security · Computer Science 2024-09-04 Daniele Lain , Tarek Jost , Sinisa Matetic , Kari Kostiainen , Srdjan Capkun

The difference between surface and deep structures of a spreadsheet is a major cause of difficulty in checking spreadsheets. After a brief survey of current methods of checking (or debugging) spreadsheets, new visual methods of showing the…

Human-Computer Interaction · Computer Science 2008-05-16 Ying Chen , Hock Chuan Chan

We report on a series of experiments concerning the feasibility of example driven modelling. The main aim was to establish experimentally within an academic environment: the relationship between error and task complexity using a)…

Human-Computer Interaction · Computer Science 2008-03-10 Simon R. Thorne , David Ball , Z. Lawson

Minimizing the empirical risk is a popular training strategy, but for learning tasks where the data may be noisy or heavy-tailed, one may require many observations in order to generalize well. To achieve better performance under less…

Machine Learning · Statistics 2018-10-16 Matthew J. Holland , Kazushi Ikeda

We provide a review of recent developments in the calculation of standard errors and test statistics for statistical inference. While much of the focus of the last two decades in economics has been on generating unbiased coefficients,…

Econometrics · Economics 2024-10-04 Jeffrey D. Michler , Anna Josephson

In Grammatical Error Correction, systems are evaluated by the number of errors they correct. However, no one has assessed whether all error types are equally important. We provide and apply a method to quantify the importance of different…

Computation and Language · Computer Science 2022-05-13 Leshem Choshen , Ofir Shifman , Omri Abend

Job rotation is a managerial practice to be applied in the organizational environment to reduce job monotony, boredom, and exhaustion resulting from job simplification, specialization, and repetition. Previous studies have identified and…

There are a number of diverging hypotheses about the neural text degeneration problem, i.e., generating repetitive and dull loops, which makes this problem both interesting and confusing. In this work, we aim to advance our understanding by…

Computation and Language · Computer Science 2023-10-17 Huayang Li , Tian Lan , Zihao Fu , Deng Cai , Lemao Liu , Nigel Collier , Taro Watanabe , Yixuan Su

The SSMI methodology was developed using concepts from Computer Science, Software Engineering and Information Systems and has been taught to undergraduate and MBA students and in Executive training seminars. In this paper, we describe the…

Software Engineering · Computer Science 2017-04-06 Paul Mireault

Machine learning is nowadays a standard technique for data analysis within software applications. Software engineers need quality assurance techniques that are suitable for these new kinds of systems. Within this article, we discuss the…

Software Engineering · Computer Science 2022-01-24 Steffen Herbold , Tobias Haar

Spreadsheet engineering methodologies are diverse and sometimes contradictory. It is difficult for spreadsheet developers to identify a spreadsheet engineering methodology that is appropriate for their class of spreadsheet, with its unique…

Human-Computer Interaction · Computer Science 2008-02-28 Thomas A. Grossman , Ozgur Ozluk

Spreadsheets in financial markets are frequently used as database, calculator and reporting application combined. This paper describes an alternative approach in which spreadsheet design and database technology have been brought together in…

Software Engineering · Computer Science 2008-03-10 Brian Sentence

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

Tabletop exercises are used to train personnel in the efficient mitigation and resolution of incidents. They are applied in practice to support the preparedness of organizations and to highlight inefficient processes. Since tabletop…

Computers and Society · Computer Science 2024-04-17 Jan Vykopal , Pavel Čeleda , Valdemar Švábenský , Martin Hofbauer , Martin Horák

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

This paper is concerned with the detection and correction of sub-sentential English text errors. Previous spelling programs, unless restricted to a very small set of words, have operated as post-processors. And to date, grammar checkers and…

cmp-lg · Computer Science 2016-08-31 Tanya Bowden

Here practical aspects of conducting research via computer simulations are discussed. The following issues are addressed: software engineering, object-oriented software development, programming style, macros, make files, scripts, libraries,…

Condensed Matter · Physics 2009-02-02 Alexander K. Hartmann , Heiko Rieger