NDLI: A visualization-based approach for improving spreadsheet quality

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Content Provider	ACM Digital Library
Author	Ayalew, Yirsaw
Abstract	Spreadsheet programs, artefacts developed by end-user programmers, are used for a variety of important tasks and decisions. However, as the literature indicates, a significant proportion of spreadsheet programs contain faults. One of the contributing factors to the quality issue is the invisibility of cell dependencies (which define the dataflow structure of a spreadsheet) up on which computations are performed. In an attempt to provide a guide in understanding spreadsheets, this paper presents an approach to visualize a spreadsheet in terms of logical areas using the MCL (Markov Clustering) algorithm. Instead of focusing their attention on the whole spreadsheet, spreadsheet users may narrow their focus to one logical area at a time. To evaluate our approach, a prototype tool has been developed and integrated into Microsoft Excel.
Starting Page	13
Ending Page	16
Page Count	4
File Format	PDF
ISBN	9781605585659
DOI	10.1145/1527033.1527038
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-04-01
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Spreadsheet quality Visualization Spreadsheet Spreadsheet understanding
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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A visualization-based approach for improving spreadsheet quality