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The 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.Ministerio de Ciencia, Innovación y Universidades Horatio RTI2018-101204-B-C21Ministerio de Ciencia, Innovación y Universidades RTI2018-093608-B-C33Junta de Andalucía APOLO (US-1264651
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