Pregled bibliografske jedinice broj: 968739
On the distribution of software faults in evolution of complex systems
On the distribution of software faults in evolution of complex systems // Proceedings of the International Colloquium on Software-intensive Systems-of-Systems at 10th European Conference on Software Architecture / Drira, Khalil ; Oquendo, Flavio ; Ali Babar, Muhammad ; Legay, Axel (ur.).
New York (NY): The Association for Computing Machinery (ACM), 2016. 2, 7 doi:10.1145/3175731.3176181 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 968739 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
On the distribution of software faults in evolution of complex systems
Autori
Galinac Grbac, Tihana ; Mauša, Goran
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the International Colloquium on Software-intensive Systems-of-Systems at 10th European Conference on Software Architecture
/ Drira, Khalil ; Oquendo, Flavio ; Ali Babar, Muhammad ; Legay, Axel - New York (NY) : The Association for Computing Machinery (ACM), 2016
ISBN
978-1-4503-6399-0
Skup
International Colloquium on Software-intensive Systems-of-Systems at 10th European Conference on Software Architecture
Mjesto i datum
Kopenhagen, Danska, 29.11.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
probability distribution, software faults
Sažetak
Complex software systems and systems of systems have become essential in the modern human society, making their reliability one of the crucial problems in software engineering. As such systems are developed as a sequence of releases, it is important to understand the reliability behavior during their evolution. There are many empirical principles regarding the distribution of faults within system structure. All these principles are implied by the underlying probability distribution of faults. The aim of this paper is to find the probability distribution that best fits the empirical fault data from 21 versions of two evolutionary developed open source systems, and study how this distribution changes during system evolution.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-UIP-2014-09-7945 - Programski sustavi u evoluciji: analiza i inovativni pristupi pametnom upravljanju (EVOSOFT) (Galinac Grbac, Tihana, HRZZ - 2014-09) ( CroRIS)
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus