RT journal article
T1 TANDEM: A Taxonomy and a Dataset of Real-World Performance Bugs
A1 Sánchez, Ana B.
A1 Delgado Pérez, Pedro
A1 Medina Bulo, María Inmaculada
A1 Segura, Sergio
A2 Ingeniería Informática
K1 Performance bugs
K1 performance testing
K1 dataset
K1 taxonomy
AB 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.
PB IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
SN 2169-3536
YR 2020
FD 2020
LK http://hdl.handle.net/10498/23466
UL http://hdl.handle.net/10498/23466
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 13-nov-2026