OSS 2021
Wed 12 May 2021
Wed 12 May 2021 16:55 - 17:15 at Main virtual room - Session 2

Customizability, extensive community support and ease of availability have led to the popularity of Open-Source Software (OSS) systems. However, maintenance of these systems is a challenge especially as they become considerably large and complex with time. One possible method of ensuring effective quality in large scale OSS is the adoption of software change prediction models. These models aid in identifying change-prone parts in the early stages of software development, which can then be effectively managed by software practitioners. This study extensively evaluates eight Homogeneous Ensemble Learners (HEL) for developing software change prediction models on five large scale OSS datasets. HEL, which integrate the outputs of several learners of the same type are known to generate improved results than other non-ensemble classifiers. The study also statistically compares the results of the models developed by HEL with ten non-ensemble classifiers. We further assess the change in performance of HEL for developing software change prediction models by substituting their default base learners with other classifiers. The results of the study support the use of HEL for developing software change prediction models and indicate Random Forest as the best HEL for the purpose.

Wed 12 May

Displayed time zone: Moscow, St. Petersburg, Volgograd change

16:15 - 17:30
16:15
20m
Research paper
OSS Scripting System for Game Development in Rust
OSS 2021 Papers
Pablo Diego Silva da Silva University of Brasilia (UnB), Rodrigo Oliveira Campos University of Brasilia (UnB), Carla Silva Rocha Aguiar University of Brasilia (UnB)
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16:35
20m
Research paper
Open source communities and forks: a rereading in the light of Albert Hirschman's writings
OSS 2021 Papers
Robert Viseur UMONS, Amel Charleux UMontpellier
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16:55
20m
Research paper
Software Change Prediction with Homogeneous Ensemble Learners on Large Scale Open-Source Systems
OSS 2021 Papers
Megha Khanna Sri Guru Gobind Singh College Of Commerce, University Of Delhi, Srishti Priya Sri Guru Gobind Singh College Of Commerce, University Of Delhi, Diksha Mehra Sri Guru Gobind Singh College Of Commerce, University Of Delhi
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17:15
15m
Paper
OSS PESTO: An Open Source Software Project Evaluation and Selection TOol
OSS 2021 Papers
Xiaozhou Li Tampere University, Sergio Moreschini Tampere University
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