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Annotated data is an essential ingredient in natural language processing for training and evaluating machine learning models. It is therefore very desirable for the annotations to be of high quality. Recent work, however, has shown that…

Computation and Language · Computer Science 2022-09-27 Jan-Christoph Klie , Bonnie Webber , Iryna Gurevych

Spreadsheet collaboration provides valuable opportunities for learning and expertise sharing between colleagues. Sharing expertise is essential for the retention of important technical skillsets within organisations, but previous studies…

Human-Computer Interaction · Computer Science 2026-03-31 Qing Nancy Xia , Advait Sarkar , Duncan Brumby , Anna Cox

Traversal strategies \'a la Stratego (also \'a la Strafunski and 'Scrap Your Boilerplate') provide an exceptionally versatile and uniform means of querying and transforming deeply nested and heterogeneously structured data including terms…

Programming Languages · Computer Science 2012-01-31 Ralf Laemmel , Simon Thompson , Markus Kaiser

Spreadsheets that are informally created are harder to test than they should be. Simple cross-foot checks or being easily readable are modest but attainable goals for every spreadsheet developer. This paper lists some tips on building…

Human-Computer Interaction · Computer Science 2009-08-11 Patrick O'Beirne

Sprego is a programming tool for novice and end-user programmers within graphical spreadsheet environments. The main idea of Sprego is to use as few general purpose functions as possible, and based on these functions we create multilevel…

Software Engineering · Computer Science 2016-03-09 Maria Csernoch , Piroska Biró

Design patterns are elegant and well-tested solutions to recurrent software development problems. They are the result of software developers dealing with problems that frequently occur, solving them in the same or a slightly adapted way. A…

Software Engineering · Computer Science 2019-03-25 Hannes Thaller , Lukas Linsbauer , Alexander Egyed

Spreadsheets are widely used in industry, because they are flexible and easy to use. Sometimes they are even used for business-critical applications. It is however difficult for spreadsheet users to correctly assess the quality of…

Software Engineering · Computer Science 2012-09-18 Felienne Hermans , Martin Pinzger , Arie van Deursen

The objective of this paper is to develop a standardized methodology for software development in the very unique industry and culture of financial markets. The prototyping process we present allows the development team to deliver for review…

Software Engineering · Computer Science 2008-03-10 Andrew Kumiega , Ben Van Vliet

Program errors can occur in any type of programming, and can manifest in a variety of ways, such as unexpected output, crashes, or performance issues. And program error diagnosis can often be too abstract or technical for developers to…

Software Engineering · Computer Science 2025-01-07 Zhenyu Xu , Victor S. Sheng

The spreadsheet has been used by the business community for many years and yet still raises a number of significant concerns. As educators our concern is to try to develop the students skills in both the development of spreadsheets and in…

Computers and Society · Computer Science 2024-12-31 David A. Banks , Ann Monday

The paper examines in the context of financial reporting, the controls that organisations have in place to manage spreadsheet risk and errors. There has been widespread research conducted in this area, both in Ireland and internationally.…

Software Engineering · Computer Science 2010-09-16 Ben G. Rittweger , Eoin Langan

Spreadsheets are widely used in various fields to do large numerical analysis. While several companies have relied on spreadsheets for decades, data scientists are going in the direction of using scientific programming languages such as…

Software Engineering · Computer Science 2022-11-14 Amir Nassereldine , Patrick Chen , Jinjun Xiong

We propose a research strategy for creating and deploying prescriptive recommendations for spreadsheet practice. Empirical data on usage can be used to create a taxonomy of spreadsheet classes. Within each class, existing practices and…

Human-Computer Interaction · Computer Science 2008-07-22 Thomas A. Grossman , Ozgur Ozluk

Confidentiality hinders the publication of authentic, labeled datasets of personal and enterprise data, although they could be useful for evaluating knowledge graph construction approaches in industrial scenarios. Therefore, our plan is to…

Databases · Computer Science 2021-08-02 Markus Schröder , Christian Jilek , Andreas Dengel

Across an aggregation of EuSpRIG presentation papers, two maxims hold true: spreadsheets models are akin to software, yet spreadsheet developers are not software engineers. As such, the lack of traditional software engineering tools and…

Software Engineering · Computer Science 2018-01-31 Oliver Beavers

Spreadsheet table detection is the task of detecting all tables on a given sheet and locating their respective ranges. Automatic table detection is a key enabling technique and an initial step in spreadsheet data intelligence. However, the…

Information Retrieval · Computer Science 2021-06-28 Haoyu Dong , Shijie Liu , Shi Han , Zhouyu Fu , Dongmei Zhang

Software quality is one of the essential aspects of a software. With increasing demand, software designs are becoming more complex, increasing the probability of software defects. Testers improve the quality of software by fixing defects.…

Software Engineering · Computer Science 2020-11-18 Mitt Shah , Nandit Pujara

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

Spreadsheet technology is a cornerstone of IT systems in most organisations. It is often the glue that binds more structured transaction-based systems together. Financial operations are a case in point where spreadsheets fill the gaps left…

Software Engineering · Computer Science 2011-11-30 Kevin McDaid , Ronan MacRuairi , Neil Clynch , Kevin Logue , Cian Clancy , Shane Hayes

Machine Learning approaches are good in solving problems that have less information. In most cases, the software domain problems characterize as a process of learning that depend on the various circumstances and changes accordingly. A…

Software Engineering · Computer Science 2015-06-26 Saiqa Aleem , Luiz Fernando Capretz , Faheem Ahmed
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