Detail publikace

Efficient Manipulation of Control Flow Models in Evolving Software

FIEDOR, T. PAVELA, J. ROGALEWICZ, A. VOJNAR, T.

Originální název

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Performance analysis, Cross-version performance degradation, Control flow, Perun,

Autoři

FIEDOR, T.; PAVELA, J.; ROGALEWICZ, A.; VOJNAR, T.

Vydáno

24. 4. 2025

Nakladatel

Springer International Publishing

Místo

Las Palmas de Gran Canaria

ISBN

978-3-031-82949-9

Kniha

Eurocast 2024 -- Computer Aided Systems Theory: Extended Abstracts

Edice

Lecture Notes in Computer Science

Strany od

412

Strany do

427

Strany počet

URL

https://link.springer.com/chapter/10.1007/978-3-031-82949-9_37

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"
}