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FaultySheet Detective: When Smells Meet Fault Localization, Abreu, Rui, Cunha Jácome, Fernandes João Paulo, Martins Pedro, Perez Alexandre, and Saraiva João , Proceedings of the 30th IEEE International Conference on Software Maintenance and Evolution, Washington, DC, USA, p.625–628, (2014) Abstracticsme14-td.pdf

This paper presents a tool, dubbed FaultySheet Detective, for aiding in spreadsheet fault localization, which combines the detection of bad smells with a generic spectrum-based fault localization algorithm.

SSaaPP: SpreadSheets as a Programming Paradigm – Project's Final Report, Abreu, Rui, Alves Tiago, Belo Orlando, Campos José C., Cunha Jácome, Fernandes João Paulo, Martins Pedro, Mendes Jorge, Pacheco Hugo, Peixoto Christophe, Pereira Rui, Perez Alexandre, Ribeiro Hugo, Riboira André, Saraiva João, Silva André, Silva João Carlos, and Visser Joost , Number TR-HASLab:02:2014, (2014) Abstracttr_ssaapp.pdf

This technical report describes the research goals and results of the SpreadSheet as a Programming Paradigm research project. This was a project funded by Funda{\c c}ão para a Ciencia e Tecnologia – FCT: the Portuguese research foundation, under reference FCOMP-01-0124-FEDER-010048, that ran from May 2010 till July 2013. This report includes the complete document reporting the results achieved during the project execution, which was submitted to FCT for evaluation on October 2013. It describes the goals of the project, and the different research tasks presenting the deliver- ables of each of them. It also presents the management and result dissemination work performed during the project's execution. The document includes also a self assess- ment of the achieved results, and a complete list of scientific publications describing the contributions of the project. Finally, this document includes the FCT evaluation report.

Combining Smells and Fault Localization in Spreadsheets (in preparation), Abreu, Rui, Cunha Jácome, Fernandes João P., Martins Pedro, Perez Alexandre, and Saraiva João , (Submitted) paper.pdf
Smelling Faults in Spreadsheets, Abreu, Rui, Cunha Jácome, Fernandes João Paulo, Martins Pedro, Perez Alexandre, and Saraiva João , Proceedings of the 30th IEEE International Conference on Software Maintenance and Evolution, Washington, DC, USA, p.111–120, (2014) Abstracticsme14.pdf

Despite being staggeringly error prone, spreadsheets are a highly flexible programming environment that is widely used in industry. In fact, spreadsheets are widely adopted for decision making, and decisions taken upon wrong (spreadsheet-based) assumptions may have serious economical impacts on businesses, among other consequences. This paper proposes a technique to automatically pinpoint potential faults in spreadsheets. It combines a catalog of spreadsheet smells that provide a first indication of a potential fault, with a generic spectrum-based fault localization strategy in order to improve (in terms of accuracy and false positive rate) on these initial results. Our technique has been implemented in a tool which helps users detecting faults. To validate the proposed technique, we consider a well-known and well-documented catalog of faulty spreadsheets. Our experiments yield two main results: we were able to distinguish between smells that can point to faulty cells from smells and those that are not capable of doing so; and we provide a technique capable of detecting a significant number of errors: two thirds of the cells labeled as faulty are in fact (documented) errors.