Open Source Systems
17th IFIP WG 2.13 International Conference, OSS 2021, Virtual Event, May 12-13, 2021, Proceedings
Published on 5. May 2021
IX, 87 pages
978-3-030-75251-4 (ISBN)
Description
This book constitutes the refereed proceedings of the 17th IFIP WG 2.13 International Conference on Open Source Systems, OSS 2021, held virtually in May 2021.
The 4 full papers and 3 short papers presented were carefully reviewed and selected from 23 submissions. The papers cover a wide range of topics in the field of free/libre open source software (FLOSS) and discuss theories, practices, experiences, and tools on development and applications of OSS systems, with a specific focus on two aspects:(a) the development of open source systems and the underlying technical, social, and economic issue, (b) the adoption of OSS solutions and the implications of such adoption both in the public and in the private sector.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
IX, 87 p. 14 illus., 5 illus. in color.
File size
3,95 MB
ISBN-13
978-3-030-75251-4 (9783030752514)
DOI
10.1007/978-3-030-75251-4
Schweitzer Classification
Other editions
Additional editions
Davide Taibi | Valentina Lenarduzzi | Terhi Kilamo
Open Source Systems
17th IFIP WG 2.13 International Conference, OSS 2021, Virtual Event, May 12-13, 2021, Proceedings
Book
04/2021
Springer
€53.49
Shipment within 7-9 days
Content
Comparing Static Analysis and Code Smells as Defect Predictors: an Empirical Study.- Enabling OSS usage through procurement projects: How can lock-in effects be avoided?.- Finding Code-Clone Snippets in Large Source-Code Collection by ccgrep.- OSS PESTO: An Open Source Software Project Evaluation and Selection Tool.- OSS Scripting System for Game Development in Rust.- Open source communities and forks: a rereading in the light of Albert Hirschman's writings.- Software Change Prediction with Homogeneous Ensemble Learners on Large Scale Open-Source Systems.
