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https://github.com/ExceLint/ExceLint-addin

Add-in for Excel that finds formula errors
https://github.com/ExceLint/ExceLint-addin

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Add-in for Excel that finds formula errors

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README 

        
![\[ExceLint logo\]](logos/ExceLint/ExceLint.png)



ExceLint is an Excel add-in that automatically finds formula errors in

spreadsheets. It is a product of research from the [PLASMA lab @ UMass

Amherst](https://plasma-umass.org) and Microsoft Research.



by [Dan Barowy](http://www.cs.williams.edu/~dbarowy/) (Williams

College), [Emery Berger](https://www.emeryberger.com/) (UMass Amherst /

Microsoft Research), and [Ben

Zorn](https://www.microsoft.com/en-us/research/people/zorn/) (Microsoft

Research).



## Installing ExceLint Add-in on your computer



ExceLint works as an add-in for all modern versions of Excel, including Mac, Windows, and online.

You need to install the file `manifest.xml` following the appropriate instructions for each platform.



First, right-click on the following link and select "Save link as...": `manifest.xml`.



Next, follow the specific instructions for your platform:



* **Windows:** [https://docs.microsoft.com/en-us/office/dev/add-ins/testing/create-a-network-shared-folder-catalog-for-task-pane-and-content-add-ins](https://docs.microsoft.com/en-us/office/dev/add-ins/testing/create-a-network-shared-folder-catalog-for-task-pane-and-content-add-ins)

* **On-line:** [https://docs.microsoft.com/en-us/office/dev/add-ins/testing/sideload-office-add-ins-for-testing](https://docs.microsoft.com/en-us/office/dev/add-ins/testing/sideload-office-add-ins-for-testing)

* **Mac:** [https://docs.microsoft.com/en-us/office/dev/add-ins/testing/sideload-an-office-add-in-on-ipad-and-mac#sideload-an-add-in-in-office-on-mac](https://docs.microsoft.com/en-us/office/dev/add-ins/testing/sideload-an-office-add-in-on-ipad-and-mac#sideload-an-add-in-in-office-on-mac)



*Note:* If you are hosting ExceLint locally (for further development), you need to install `manifest-localhost.xml` instead.

 



## Talks on ExceLint



* [ExceLint - Automatically Finding Spreadsheet Formula Errors](https://www.youtube.com/watch?v=rEwUA0h2dsw), OOPSLA 2018 conference talk by Dan Barowy

* [Saving the world from spreadsheets](https://www.youtube.com/watch?list=SRYearby%20Super%20Mesh%20Task%20Chair&v=GyWKxFxyyrQ), Univ. of Washington PLSE seminar, by Emery Berger

* [The next generation of developer tools for data programming](https://www.microsoft.com/en-us/research/video/the-next-generation-of-developer-tools-for-data-programming), Microsoft Research Webinar Series, by Ben Zorn



## Technical Details about ExceLint



The following technical paper describes how ExceLint works and includes

an extensive empirical evaluation: [*ExceLint: Automatically Finding

Spreadsheet Formula

Errors*](https://github.com/ExceLint/ExceLint-addin/blob/master/docs/ExceLint-OOPSLA2018.pdf),

Daniel W. Barowy (Williams College), Emery D. Berger (University of

Massachusetts Amherst), Benjamin Zorn (Microsoft Research). In

*Proceedings of the ACM on Programming Languages*, Volume 2, Number

OOPSLA.



## Privacy



The ExceLint add-in does not collect personally identifiable

information. See [the privacy statement](privacy.html) for more details.



## Support



ExceLint is provided without any guarantee of support. However, we

welcome [bug

reports](https://github.com/plasma-umass/ExceLint-addin/issues/new?assignees=dbarowy%2C+emeryberger%2C+bzorn&labels=bug&template=bug_report.md&title=)

and [enhancement/feature

requests](https://github.com/plasma-umass/ExceLint-addin/issues/new?assignees=dbarowy%2C+emeryberger%2C+bzorn&labels=enhancement&template=feature_request.md&title=).



## Source Code & Development



Source code for the add-in may be found [at its GitHub

repository](https://github.com/plasma-umass/ExceLint-addin).



The ExceLint addin is written entirely in TypeScript. See the [DEPLOYMENT.md](./DEPLOYMENT.md) file for details. 



## Acknowledgements



This material is based upon work supported by the National Science

Foundation under Grant No. CCF-1617892. Any opinions, findings, and

conclusions or recommendations expressed in this material are those

of the author(s) and do not necessarily reflect the views of the National

Science Foundation.