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Many companies use Excel spreadsheets to keep stock records and to calculate process-specific data. These spreadsheets are often hard to understand and track. And if the user does not protect them, there is a risk that the user randomly…

Other Computer Science · Computer Science 2019-12-03 Florin Zamfir , Nicolae Paraschiv , Emil Pricop

Most spreadsheet surveys both for reporting use and error focus on the practical application of the spreadsheet in a particular industry. Typically these studies will illustrate that a particular percentage of spreadsheets are used for…

Human-Computer Interaction · Computer Science 2008-03-10 Simon Thorne , David Ball

Context: Interest in diversity in software development has significantly increased in recent years. Reporting on diversity in software projects can enhance user trust and assist regulators in evaluating adoption. Recent AI directives…

Software Engineering · Computer Science 2025-10-29 Joan Giner-Miguelez , Sergio Morales , Sergio Cobos , Javier Luis Canovas Izquierdo , Robert Clariso , Jordi Cabot

The convergence of information and communication technologies has introduced new and advanced capabilities to Industrial Control Systems. However, concurrently, it has heightened their vulnerability to cyber attacks. Consequently, the…

Cryptography and Security · Computer Science 2024-04-29 Pavlos Cheimonidis , Kontantinos Rantos

Software containers are widely adopted for developing and deploying software applications. Despite their popularity, major security concerns arise during container development and deployment. Software Engineering (SE) research literature…

Software Engineering · Computer Science 2025-12-16 Maha Sroor , Teerath Das , Rahul Mohanani , Tommi Mikkonen

The efficiency of current cargo screening processes at sea and air ports is largely unknown as few benchmarks exists against which they could be measured. Some manufacturers provide benchmarks for individual sensors but we found no…

Artificial Intelligence · Computer Science 2010-07-05 Peer-Olaf Siebers , Galina Sherman , Uwe Aickelin

Human error research on overconfidence supports the benefits of early visibility of defects and disciplined development. If risk to the enterprise is to be reduced, individuals need to become aware of the reality of the quality of their…

Human-Computer Interaction · Computer Science 2008-03-25 Patrick O'Beirne

Big data are data on a massive scale in terms of volume, intensity, and complexity that exceed the capacity of standard software tools. They present opportunities as well as challenges to statisticians. The role of computational…

Computation · Statistics 2018-06-13 Chun Wang , Ming-Hui Chen , Elizabeth Schifano , Jing Wu , Jun Yan

When planning to change operations at ports there are two key stake holders with very different interests involved in the decision making processes. Port operators are attentive to their standards, a smooth service flow and economic…

Computational Engineering, Finance, and Science · Computer Science 2013-07-03 Peer-Olaf Siebers , Galina Sherman , Uwe Aickelin , David Menachof

Modern spreadsheet systems can be used to implement complex spreadsheet applications including data sheets, customized user forms and executable procedures written in a scripting language. These applications are often developed by…

Software Engineering · Computer Science 2015-03-12 Domenico Amalfitano , Nicola Amatucci , Vincenzo De Simone , Anna Rita Fasolino , Porfirio Tramontana

Owing to recorded incidents of Information technology inclined organisations failing to respond effectively to threat incidents, this project outlines the benefits of conducting a comprehensive risk assessment which would aid proficiency in…

Computers and Society · Computer Science 2018-12-13 Samuel Cris Ayo , Bonaventure Ngala , Olasunkanmi Amzat , Robin Lal Khoshi , Samarappulige Isuru Madusanka

Software development needs continuous quality control for a timely detection and removal of quality problems. This includes frequent quality assessments, which need to be automated as far as possible to be feasible. One way of automation in…

Software Engineering · Computer Science 2016-11-28 Stefan Wagner

Over the last century, risk scores have been the most popular form of predictive model used in healthcare and criminal justice. Risk scores are sparse linear models with integer coefficients; often these models can be memorized or placed on…

Machine Learning · Computer Science 2022-10-13 Jiachang Liu , Chudi Zhong , Boxuan Li , Margo Seltzer , Cynthia Rudin

A spreadsheet is remarkably flexible in representing various forms of structured data, but the individual cells have no knowledge of the larger structures of which they may form a part. This can hamper comprehension and increase formula…

Software Engineering · Computer Science 2018-01-29 Alan Hall , Michel Wermelinger , Tony Hirst , Santi Phithakkitnukoon

Numerous knowledge workers utilize spreadsheets in business, accounting, and finance. However, a lack of systematic documentation methods for spreadsheets hinders automation, collaboration, and knowledge transfer, which risks the loss of…

Software Engineering · Computer Science 2025-10-24 Amila Indika , Igor Molybog

We have developed the Model Master (MM) language for describing spreadsheets, and tools for converting MM programs to and from spreadsheets. The MM decompiler translates a spreadsheet into an MM program which gives a concise summary of its…

Programming Languages · Computer Science 2024-12-31 Jocelyn Paine

Software Quality Assurance (SQA) planning aims to define proactive plans, such as defining maximum file size, to prevent the occurrence of software defects in future releases. To aid this, defect prediction models have been proposed to…

Software Engineering · Computer Science 2024-10-28 Dilini Rajapaksha , Chakkrit Tantithamthavorn , Jirayus Jiarpakdee , Christoph Bergmeir , John Grundy , Wray Buntine

Considering the ever-evolving threat landscape and rapid changes in software development, we propose a risk assessment framework called SAFER (Software Analysis Framework for Evaluating Risk). This framework is based on the necessity of a…

Software Engineering · Computer Science 2024-12-25 Sarah Ali Siddiqui , Chandra Thapa , Rayne Holland , Wei Shao , Seyit Camtepe

An issue tracker is a software tool used by organisations to interact with users and manage various aspects of the software development lifecycle. With the rise of agile methodologies, issue trackers have become popular in open and…

Software Engineering · Computer Science 2024-07-12 Lloyd Montgomery , Clara Lüders , Walid Maalej

Risk scores are simple classification models that let users make quick risk predictions by adding and subtracting a few small numbers. These models are widely used in medicine and criminal justice, but are difficult to learn from data…

Machine Learning · Statistics 2020-10-21 Berk Ustun , Cynthia Rudin
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