DOI

Spreadsheets are used extensively in business processes around the world and as such, are a topic of research interest. Over the past few years, many spreadsheet studies have been performed on the EUSES spreadsheet corpus. While this corpus has served the spreadsheet community well, the spreadsheets it contains are mainly gathered with search engines and might therefore not represent spreadsheets used in companies. This paper presents an analysis of a new dataset, extracted from the Enron email archive, containing over 15,000 spreadsheets used within the Enron Corporation. In addition to the spreadsheets, we also present an analysis of the associated emails, where we look into spreadsheet-specific email behavior. Our analysis shows that 1) 24% of Enron spreadsheets with at least one formula contain an Excel error, 2) there is little diversity in the functions used in spreadsheets: 76% of spreadsheets in the presented corpus use the same 15 functions and, 3) the spreadsheets are substantially more smelly than the EUSES corpus, especially in terms of long calculation chains. Regarding the emails, we observe that spreadsheets 1) are a frequent topic of email conversation with 10% of emails either referring to or sending spreadsheets and 2) the emails are frequently discussing errors in and updates to spreadsheets.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering, ICSE 2015
PublisherIEEE Computer Society
Pages7-16
Number of pages10
Volume2
ISBN (Electronic)9781479919345
DOIs
StatePublished - 12 Aug 2015
Event37th IEEE/ACM International Conference on Software Engineering, ICSE 2015 - Florence, Italy
Duration: 16 May 201524 May 2015

Conference

Conference37th IEEE/ACM International Conference on Software Engineering, ICSE 2015
CountryItaly
CityFlorence
Period16/05/1524/05/15

ID: 15461077