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Pregled bibliografske jedinice broj: 992284

Software structure evolution and relation to subgraph defectiveness


Vranković, Ana; Galinac Grbac, Tihana; Car, Željka
Software structure evolution and relation to subgraph defectiveness // Iet software (2018) doi:10.1049/iet-sen.2018.5060 (znanstveni, prihvaćen)


Naslov
Software structure evolution and relation to subgraph defectiveness

Autori
Vranković, Ana ; Galinac Grbac, Tihana ; Car, Željka

Vrsta, podvrsta
Radovi u časopisima, znanstveni

Izvornik
Iet software (2018)

Status rada
Prihvaćen

Ključne riječi
Software structure, subgraph, defectiveness, fault distribution

Sažetak
Network analysis has been successfully applied in software engineering to understand structural effects in the software. System software is represented as a network graph, and network metrics are used to analyse system quality. This study is motivated by a previous study, which represents the software structure as three-node subgraphs and empirically identifies that software structure continuously evolves over system releases. Here, the authors extend the previous study to analyse the relation of structural evolution and the defectiveness of subgraphs in the software network graph. This study investigates the behaviour of subgraph defects through software evolution and their impact on system defectiveness. Statistical methods were used to study subgraph defectiveness across versions of the systems and across subgraph types. The authors conclude that software versions have similar behaviours in terms of average subgraph type defectiveness and subgraph frequency distributions. However, different subgraph types have different defectiveness distributions. Based on these conclusions, the authors motivate the use of subgraph-based software representation in defect predictions and software modelling. These promising findings contribute to the further development of the software engineering discipline and help software developers and quality management in terms of better modelling and focusing their testing efforts within the code structure represented by subgraphs.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekt / tema
HRZZ Projekt EVOSOFt
HRZZ-UIP-2014-09-7945 - Programski sustavi u evoluciji: analiza i inovativni pristupi pametnom upravljanju (Tihana Galinac Grbac, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb,
Tehnički fakultet, Rijeka,
Sveučilište Jurja Dobrile u Puli

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati