Publication detail
Efficient Manipulation of Control Flow Models in Evolving Software
FIEDOR, T. PAVELA, J. ROGALEWICZ, A. VOJNAR, T.
Original Title
Efficient Manipulation of Control Flow Models in Evolving Software
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
When looking for certain kinds of software bugs, successive versions of software are compared. Performance-related bugs are a notable example. Methods used for detecting such bugs are, however, expensive and need to be applied carefully. At the same time, current software development is rapid, with new software versions released everyday. In this paper, we aim at two particular ways how to optimize difference analyses of performance (but possibly other aspects of the software too) of successive software versions. Namely, we propose (1) an efficient layered representation of the program control flow spanning across the program history, and (2) methods for efficient matching of pairs of corresponding functions in different software versions and for selecting those whose differential analysis should be performed. We have implemented our approach and performed experiments on two selected versions of the CPython project. The results indicate that our approach is a promising direction for improving the performance analysis of real world programs.
Keywords
Performance analysis, Cross-version performance degradation, Control flow, Perun,
Authors
FIEDOR, T.; PAVELA, J.; ROGALEWICZ, A.; VOJNAR, T.
Released
24. 4. 2025
Publisher
Springer International Publishing
Location
Las Palmas de Gran Canaria
ISBN
978-3-031-82949-9
Book
Eurocast 2024 -- Computer Aided Systems Theory: Extended Abstracts
Edition
Lecture Notes in Computer Science
Pages from
412
Pages to
427
Pages count
2
URL
BibTex
@inproceedings{BUT193280,
author="Tomáš {Fiedor} and Jiří {Pavela} and Adam {Rogalewicz} and Tomáš {Vojnar}",
title="Efficient Manipulation of Control Flow Models in Evolving Software",
booktitle="Eurocast 2024 -- Computer Aided Systems Theory: Extended Abstracts",
year="2025",
series="Lecture Notes in Computer Science",
volume="15172",
pages="412--427",
publisher="Springer International Publishing",
address="Las Palmas de Gran Canaria",
doi="10.1007/978-3-031-82949-9\{_}37",
isbn="978-3-031-82949-9",
url="https://link.springer.com/chapter/10.1007/978-3-031-82949-9_37"
}