The software systems worldwide increase in a density on a daily basis. The success in nowadays competitive market requires sustainable and quality software product. Controversially to the quantity of software products, the quality and cost of the software are tend to depend on several aspects. However, they are not fully inculcated yet as a fundamentally essential. The full control over the software quality requires software metrics to be introduced. By effective usage of software quality metrics one can monitor the software development process, minimize the cost, track the resource usage and maintain the expected results. This paper reviews the late phases and the existing software quality models to track software process quality metrics in these late phases. And based on the summarized studies we describe our system architecture in the way to evaluate the software quality with embedded external systems. This paper find outs additional metrics we can measure with the help of our framework.

Metrics for Software Process Quality Assessment in the Late Phases of SDLC / Dlamini G; Ergasheva Sh; Kholmatova Z; Kruglov A; Sadovykh A; Succi G; Timchenko A; Vasquez X; Zouev E;. - STAMPA. - 506:(2022), pp. 639-655. [10.1007/978-3-031-10461-9_44]

Metrics for Software Process Quality Assessment in the Late Phases of SDLC

Succi G;
2022

Abstract

The software systems worldwide increase in a density on a daily basis. The success in nowadays competitive market requires sustainable and quality software product. Controversially to the quantity of software products, the quality and cost of the software are tend to depend on several aspects. However, they are not fully inculcated yet as a fundamentally essential. The full control over the software quality requires software metrics to be introduced. By effective usage of software quality metrics one can monitor the software development process, minimize the cost, track the resource usage and maintain the expected results. This paper reviews the late phases and the existing software quality models to track software process quality metrics in these late phases. And based on the summarized studies we describe our system architecture in the way to evaluate the software quality with embedded external systems. This paper find outs additional metrics we can measure with the help of our framework.
2022
Intelligent Computing
639
655
Metrics for Software Process Quality Assessment in the Late Phases of SDLC / Dlamini G; Ergasheva Sh; Kholmatova Z; Kruglov A; Sadovykh A; Succi G; Timchenko A; Vasquez X; Zouev E;. - STAMPA. - 506:(2022), pp. 639-655. [10.1007/978-3-031-10461-9_44]
Dlamini G; Ergasheva Sh; Kholmatova Z; Kruglov A; Sadovykh A; Succi G; Timchenko A; Vasquez X; Zouev E;
File in questo prodotto:
File Dimensione Formato  
Succi.Ch15.MetricsForSoftwareProcessQuality.pdf

accesso riservato

Tipo: Versione (PDF) editoriale
Licenza: Licenza per accesso riservato
Dimensione 563.72 kB
Formato Adobe PDF
563.72 kB Adobe PDF   Visualizza/Apri   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/921811
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 1
social impact