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Static Analysis for the VErification of Spreadsheets

Project description

New toolbox reduces the likelihood of spreadsheet errors

Spreadsheet applications such as Microsoft Excel are essential tools in business, accounting and research. However, a simple mistake in company spreadsheets may cost billions. A former EU-funded project implemented new techniques in static programme analysis that facilitate the verification of programmes that use complex data structures, such as unidimensional or multidimensional arrays, lists, trees and dictionaries. MemCAD led to the design of powerful abstraction techniques to reason over complex data structures such as tables found in spreadsheets. Building on those developments, the EU-funded SPARKs project aims to leverage these results into a toolbox that can verify, optimise and maintain spreadsheets. The envisioned toolbox will rely on automatic and conservative semantic static analysis, reporting all occurrences of certain classes of errors.

Objective

Spreadsheet applications (such as Microsoft Excel + VBA) are heavily used in a wide range of fields including engineering, finance, management, statistics and health. However, they do not ensure robustness properties, thus spreadsheet errors are hard to avoid, common and potentially very costly. According to estimates, the annual cost of spreadsheet errors is around 7 billion dollars. For instance, in 2013, a series of basic spreadsheet errors at JPMorgan incurred 6 billion dollars trading losses. To avoid such problems, spreadsheet users need better support from rigorous tools, since the development of industrial spreadsheets typically involves multiple tabs, formulas, macros and data read from external sources (e.g. the internet). However, as of today, spreadsheet environment offer almost no verification support, and third party tools do not allow to reason correctly over macros, and future uses of existing formulas. The MemCAD ERC StG project opened the way to novel formal analysis techniques for spreadsheet applications. Indeed, the MemCAD project led to the design of powerful abstraction techniques to reason over complex data-structures such as tables as found in spreadsheets. During this project, we have implemented AiXL, a prototype that was able to analyze large public benchmarks. It uncovered defects that are beyond the scope of other approaches. We propose to leverage these results into a toolbox able to safely verify, optimize and maintain spreadsheets, so as to reduce the likelihood of errors. The envisioned toolbox relies on automatic and conservative semantic static analysis, so that it will report all occurrences of certain classes of errors. It will have an open architecture with plugins, and will easily extend to user specific properties. This works will take place in a partnership with MatrixLEAD, a startup created based on the results of the ERC MemCAD project. MatrixLEAD will provide industrial use-cases and commercialization plans.

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Topic(s)

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Funding Scheme

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ERC-POC - Proof of Concept Grant

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Call for proposal

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(opens in new window) ERC-2018-PoC

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Host institution

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 149 533,00
Address
DOMAINE DE VOLUCEAU ROCQUENCOURT
78153 Le Chesnay Cedex
France

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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 149 533,00

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