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Improving the Performance of a Large Scale Spreadsheet : A Case Study. / Swidan, ALaaeddin; Hermans, Felienne; Koesoemowidjojo, Ruben.

Delft University of Technology Software Engineering Research Group, 2016. 10 p. (TUD-SERG-2016-003).

Research output: Book/ReportReportOther research output

Harvard

Swidan, AL, Hermans, F & Koesoemowidjojo, R 2016, Improving the Performance of a Large Scale Spreadsheet: A Case Study. TUD-SERG-2016-003, Delft University of Technology Software Engineering Research Group.

APA

Swidan, AL., Hermans, F., & Koesoemowidjojo, R. (2016). Improving the Performance of a Large Scale Spreadsheet: A Case Study. (TUD-SERG-2016-003). Delft University of Technology Software Engineering Research Group.

Vancouver

Swidan AL, Hermans F, Koesoemowidjojo R. Improving the Performance of a Large Scale Spreadsheet: A Case Study. Delft University of Technology Software Engineering Research Group, 2016. 10 p. (TUD-SERG-2016-003).

Author

Swidan, ALaaeddin ; Hermans, Felienne ; Koesoemowidjojo, Ruben. / Improving the Performance of a Large Scale Spreadsheet : A Case Study. Delft University of Technology Software Engineering Research Group, 2016. 10 p. (TUD-SERG-2016-003).

BibTeX

@book{9b79e3dbcc704fbb93ba7839eafaf9ad,
title = "Improving the Performance of a Large Scale Spreadsheet: A Case Study",
abstract = "Spreadsheets are used extensively for calculations in several domains, especially in finance and insurance. Spreadsheets offer a clear benefit to their users: they are an easy to learn application in which to express their business needs, however, there are downsides too. Like software, spreadsheets can have a long life span in which they are used by several people. This leads to maintainability issues, including errors, but also often to issues with performance. In this paper we present a case study in which a model for shortfall calculations, originally implemented in a spreadsheet, was adapted to run on an HPC cluster. We present the design, analysis and implementation of the solution which clearly improved the performance of the spreadsheet, with a factor of 50 in some cases. We subsequently reflect on challenges related to reverse engineering, testing and scalability. Finally, we identify opportunities that would provide automatic support to refactoring, dependency recognition and performance profiling in future spreadsheet optimization projects.",
author = "ALaaeddin Swidan and Felienne Hermans and Ruben Koesoemowidjojo",
note = "TUD-SERG",
year = "2016",
month = "5",
day = "23",
language = "English",
series = "TUD-SERG-2016-003",
publisher = "Delft University of Technology Software Engineering Research Group",

}

RIS

TY - BOOK

T1 - Improving the Performance of a Large Scale Spreadsheet

T2 - A Case Study

AU - Swidan, ALaaeddin

AU - Hermans, Felienne

AU - Koesoemowidjojo, Ruben

N1 - TUD-SERG

PY - 2016/5/23

Y1 - 2016/5/23

N2 - Spreadsheets are used extensively for calculations in several domains, especially in finance and insurance. Spreadsheets offer a clear benefit to their users: they are an easy to learn application in which to express their business needs, however, there are downsides too. Like software, spreadsheets can have a long life span in which they are used by several people. This leads to maintainability issues, including errors, but also often to issues with performance. In this paper we present a case study in which a model for shortfall calculations, originally implemented in a spreadsheet, was adapted to run on an HPC cluster. We present the design, analysis and implementation of the solution which clearly improved the performance of the spreadsheet, with a factor of 50 in some cases. We subsequently reflect on challenges related to reverse engineering, testing and scalability. Finally, we identify opportunities that would provide automatic support to refactoring, dependency recognition and performance profiling in future spreadsheet optimization projects.

AB - Spreadsheets are used extensively for calculations in several domains, especially in finance and insurance. Spreadsheets offer a clear benefit to their users: they are an easy to learn application in which to express their business needs, however, there are downsides too. Like software, spreadsheets can have a long life span in which they are used by several people. This leads to maintainability issues, including errors, but also often to issues with performance. In this paper we present a case study in which a model for shortfall calculations, originally implemented in a spreadsheet, was adapted to run on an HPC cluster. We present the design, analysis and implementation of the solution which clearly improved the performance of the spreadsheet, with a factor of 50 in some cases. We subsequently reflect on challenges related to reverse engineering, testing and scalability. Finally, we identify opportunities that would provide automatic support to refactoring, dependency recognition and performance profiling in future spreadsheet optimization projects.

M3 - Report

T3 - TUD-SERG-2016-003

BT - Improving the Performance of a Large Scale Spreadsheet

PB - Delft University of Technology Software Engineering Research Group

ER -

ID: 13969502