@conference {2108,
	title = {Sensitivity Analysis of Spectrum-based Fault Localisation for Multi-Agent Systems},
	booktitle = {Proceedings of the 25th International Workshop on Principles of Diagnosis (DX{\textquoteright}14)},
	year = {2014},
	month = {September},
	address = { Graz, Austria},
	abstract = {<p>Diagnosing unwanted behaviour in Multi-Agent Systems (MASs) is a crucial task to assure the correct operation of a system. A light-weight technique inspired by the software-engineeringoriented techniques, the we have coined Extended Spectrum-based Fault Localisation for Multi-Agent Systems (ESFL-MAS) can be used to shorten the diagnose cycle by reducing the testing effort. As the technique relies on minimal information about the system, its diagnostic accuracy is inherently limited. In this paper, we study the impact of different similarity coefficients that are applied to the system execution spectra as we try to assess the correct operation of an agentbased application. The studied coefficients are proposed in the literature and we study the impact of them on the accuracy of spectrum-based fault localisation applied to multi-agent systems. Our experimental evaluation shows that three out of 42 (Jaccard, Ochiai, and Sorensen-Dice) have the most effective and stable performance throughout the variation of the number of passed and failed events.</p>
},
	attachments = {https://haslab.uminho.pt/sites/default/files/ruimaranhao/files/dx14_thu_am_s1_paper4.pdf},
	author = {Rui Abreu and L Sanchez Passos and R Rosseti}
}