Software Dependability Assessment Using DevOps Metrics

被引：0

作者：

Popentiu-Vladicescu, Florin ^{[1
,2
]}

Albeanu, Grigore ^{[3
]}

机构：

[1] Univ Politehn Bucuresti, Bucharest, Romania

[2] Acad Romanian Scientists, Bucharest, Romania

[3] Spiru Haret Univ, Dept Engn & Comp Sci, Bucharest, Romania

来源：

2022 6TH INTERNATIONAL CONFERENCE ON BUSINESS AND INFORMATION MANAGEMENT, ICBIM | 2022年

关键词：

DevOps; software dependability; quality metrics; soft computing;

D O I：

10.1109/ICBIM57406.2022.00037

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Assessing software dependability is a major task of Total Management Dependability strongly motivated by the framework Total Quality Management and Lean Six Sigma methodology used by software organizations to improve performance and assuring constant collaboration with stakeholders. The most recent approach in improving software quality is DevOps, a merging of software development, software quality assurance, and software deployment and integration (IT operations). This paper addresses DevOps metrics useful to assess the software dependability. Both static and dynamic models are considered. Firstly, recent developments on software reliability, availability, safety, security, and resilience are reviewed. In the second part, extensions of dependability metrics obtained by soft computing (fuzzy, intuitionistic-fuzzy, and neutrosophic numbers) are presented along with practical examples.

引用

页码：168 / 172

页数：5

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