Applicability of Software Reliability Growth Models to Open Source Software

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00125924" target="_blank" >RIV/00216224:14330/22:00125924 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/SEAA56994.2022.00047" target="_blank" >http://dx.doi.org/10.1109/SEAA56994.2022.00047</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SEAA56994.2022.00047" target="_blank" >10.1109/SEAA56994.2022.00047</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Applicability of Software Reliability Growth Models to Open Source Software

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Applicability of Software Reliability Growth Models to Open Source Software

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

48th Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA2022)

ISBN

9781665461528

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

255-262

Název nakladatele

IEEE

Místo vydání

Not specified

Místo konání akce

Gran Canaria, Spain

Datum konání akce

31. 8. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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