@article{poshyvanyk_feature_2007,
	title = {Feature {Identification} using {Probabilistic} {Ranking} of {Methods} based on {Execution} {Scenarios} and {Information} {Retrieval}},
	volume = {33},
	abstract = {This paper recasts the problem of feature location in source code as a decision-making problem in the presence of uncertainty. The solution to the problem is formulated as a combination of the opinions of different experts. The experts in this work are two existing techniques for feature location: scenario-ba sed probabilistic ranking of events and an information retrieval-based technique that uses latent semantic indexing. The combination of these two technique s is empirically evaluated through several case studies. The case studies use the source code of the Mozilla Web browser and the Eclipse integrated develop ment environment. The results show that the combination of techniques significantly improves the effectiveness of feature location when compared to each of the techniques used independently},
	number = {6},
	journal = {IEEE Transactions on Software Engineering},
	author = {Poshyvanyk, Denys and Marcus, Andrian and Rajlich, Vaclav and Guéhéneuc, Yann-Gaël and Antoniol, Giuliano},
	month = jun,
	year = {2007},
	pages = {420--432}
}

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