Salihu, Shakirat A.Abikiye, Oluwakemi C.Bajeh, Amos OAkintola, Abimbola G.2021-04-212021-04-21201816. Salihu, S. A., Abikoye, O. C., Bajeh A. O. and Akintola A. G. (2018), A Survey of Empirical Studies on Performance Enhancement Features for IR-based Bug Localization Process, Afr. J. Comp. & ICT, 11(4), 65 - 70.2006-1781https://uilspace.unilorin.edu.ng/handle/20.500.12484/4758Software is inevitable to have bugs. Localization of bugs has attracted many researchers due to its importance in software maintenance. Automation of Bug localization using Information Retrieval (IR) -Based approach has been proposed to attract more researchers due to its relatively low computational cost. Despite this automation, localization of bugs still takes the developers many hours or days to locate bugs. This paper tends to do a survey of some features that can be added to IR-Based bug localization process to enhance its performance and give a better result in terms of accuracy. The result from the six tools considered for this survey shows that there is an improvement in those with enhancement features compare with the baseline that has no enhancement features. The top N, MAP and MRR values of these tools outperform the technique without any enhancement.enBug localizationSoftware MaintenanceInformation RetrivalArticle