D 2022

Applicability of Software Reliability Growth Models to Open Source Software

MIČKO, Radoslav, Stanislav CHREN and Bruno ROSSI

Basic information

Original name

Applicability of Software Reliability Growth Models to Open Source Software

Authors

MIČKO, Radoslav (703 Slovakia, belonging to the institution), Stanislav CHREN (703 Slovakia, belonging to the institution) and Bruno ROSSI (380 Italy, guarantor, belonging to the institution)

Edition

Not specified, 48th Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA2022), p. 255-262, 8 pp. 2022

Publisher

IEEE

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

RIV identification code

RIV/00216224:14330/22:00125924

Organization unit

Faculty of Informatics

ISBN

978-1-6654-6152-8

DOI

Keywords in English

Software Reliability Growth Models; Open Source Software; Cumulative Software Failure Data; Mining Software Repositories

Tags

Tags

International impact, Reviewed
Změněno: 13/3/2023 09:17, Bruno Rossi, PhD

Abstract

V originále

Software reliability growth models (SRGMs) are based on underlying assumptions which make them typically more suited for quality evaluation of closed-source projects and their development lifecycles. Their usage in open-source software (OSS) projects is a subject of debate. Although the studies investigating the SRGMs applicability in OSS context do exist, they are limited by the number of models and projects considered which might lead to inconclusive results. In this paper, we present an experimental study of SRGMs applicability to a total of 88 OSS projects, comparing nine SRGMs, looking at the stability of the best models on the whole projects, on releases, on different domains and according to different projects attributes. With the aid of the STRAIT tool, we automated repository mining, data processing and SRGM analysis for reproducibility. Overall, we found good applicability of SRGMs to OSS, but with different performance when segmenting the dataset into releases, domains and considering projects attributes, suggesting that the search for one-fits-all models is unrealistic, rather recommending to look for the characteristics of projects and bug fixing processes for the prediction of applicable models.

Links

CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU
(CEP code: EF16_019/0000822)
Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Acronym: C4e)
Investor: Ministry of Education, Youth and Sports of the CR, CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence, Priority axis 1: Strengthening capacities for high-quality research
EF16_019/0000822, research and development project
Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur
LM2015085, research and development project
Name: CERIT Scientific Cloud (Acronym: CERIT-SC)
Investor: Ministry of Education, Youth and Sports of the CR, CERIT Scientific Cloud