2022-07-072022-07-072020Sánchez Jerez, A.B., Delgado Pérez, P., Medina Bulo, I. y Segura Rueda, S. (2020). TANDEM: A Taxonomy and a Dataset of Real-World Performance Bugs. IEEE Access, 8 (Art. nº 9110902), 107214-107228.2169-3536https://hdl.handle.net/11441/135105The detection of performance bugs, like those causing an unexpected execution time, has gained much attention in the last years due to their potential impact in safety-critical and resource-constrained applications. Much effort has been put on trying to understand the nature of performance bugs in different domains as a starting point for the development of effective testing techniques. However, the lack of a widely accepted classification scheme of performance faults and, more importantly, the lack of well-documented and understandable datasets makes it difficult to draw rigorous and verifiable conclusions widely accepted by the community. In this paper, we present TANDEM, a dual contribution related to real-world performance bugs. Firstly, we propose a taxonomy of performance bugs based on a thorough systematic review of the related literature, divided into three main categories: effects, causes and contexts of bugs. Secondly, we provide a complete collection of fully documented real-world performance bugs. Together, these contributions pave the way for the development of stronger and reproducible research results on performance testing.application/pdf15engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Performance bugsPerformance testingDatasetTaxonomyinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess10.1109/ACCESS.2020.3000928