@misc{10498/23466,
year = {2020},
url = {http://hdl.handle.net/10498/23466},
abstract = {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.},
publisher = {IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC},
keywords = {Performance bugs},
keywords = {performance testing},
keywords = {dataset},
keywords = {taxonomy},
title = {TANDEM: A Taxonomy and a Dataset of Real-World Performance Bugs},
doi = {10.1109/ACCESS.2020.3000928},
author = {Sánchez, Ana B. and Delgado Pérez, Pedro and Medina Bulo, María Inmaculada and Segura, Sergio},
}