Predicting Group Size for Software Issues in an Open-Source Software Development Environment

2020 ◽  
pp. 237-246
Author(s):  
Deepti Chopra ◽  
Arvinder Kaur
Keyword(s):  
Software Development ◽  
Open Source ◽  
Group Size ◽  
Open Source Software ◽  
Open Source Software Development ◽  
Development Environment ◽  
Software Development Environment

A Constructivist View of Knowledge Management in Open Source Virtual Communities

2011 ◽  
pp. 290-308 ◽  
Author(s):  
Sulayman K. Sowe ◽  
Athanasis Karoulis ◽  
Ioannis Stamelos
Keyword(s):  
Knowledge Management ◽  
Learning Environment ◽  
Software Development ◽  
Open Source ◽  
Open Source Software ◽  
Learning Context ◽  
Open Source Software Development ◽  
Development Environment ◽  
Constructivist View ◽  
Real Life Situation

This chapter addresses a learning environment that is manifested in the domain offree/open source software development. It provides the base for the emergence,development, interactions, and management of a novel learning environment bytaking a constructivist view of knowledge management. The learning activities ofan online collaborative effort of a loosely and geographically disperse communityof individuals is explored by looking at the interactions between members of thecommunity, the tools used to communicate, and the interactions between the mem-bers of the community and the virtual learning context. The learning context asenvisaged here refers to the free/open source software development environment inwhich learning actually takes place. The main focus is on the resources and pur-poseful activities that promote collaborative learning in this context, as well as thetransfer of learning from the virtual setting to the real-life situation by involving ina collaborative activity.

Exploring the Effects of Process Characteristics on Products Quality in Open Source Software Development

2009 ◽  
pp. 3008-3036 ◽  
Author(s):  
Stefan Koch ◽  
Christian Neumann
Keyword(s):  
Software Development ◽  
Open Source ◽  
Open Source Software ◽  
Open Source Software Development ◽  
Development Environment ◽  
Product Metrics ◽  
Software Products ◽  
Process Characteristics ◽  
Development Processes ◽  
Process Metrics

There has been considerable discussion on the possible impacts of open source software development practices, especially in regard to the quality of the resulting software product. Recent studies have shown that analyzing data from source code repositories is an efficient way to gather information about project characteristics and programmers, showing that OSS projects are very heterogeneous in their team structures and software processes. However, one problem is that the resulting process metrics measuring attributes of the development process and of the development environment do not give any hints about the quality, complexity, or structure of the resulting software. Therefore, we expanded the analysis by calculating several product metrics, most of them specifically tailored to object-oriented software. We then analyzed the relationship between these product metrics and process metrics derived from a CVS repository. The aim was to establish whether different variants of open source development processes have a significant impact on the resulting software products. In particular we analyzed the impact on quality and design associated with the numbers of contributors and the amount of their work, using the GINI coefficient as a measure of inequality within the developer group.

Exploring the Effects of Process Characteristics on Product Quality in Open Source Software Development

2011 ◽  
pp. 132-159 ◽  
Author(s):  
Stefan Koch ◽  
Christian Neumann
Keyword(s):  
Software Development ◽  
Open Source ◽  
Open Source Software ◽  
Open Source Software Development ◽  
Development Environment ◽  
Product Metrics ◽  
Software Products ◽  
Process Characteristics ◽  
Development Processes ◽  
Process Metrics

There has been considerable discussion on the possible impacts of open source software development practices, especially in regard to the quality of the resulting software product. Recent studies have shown that analyzing data from source code repositories is an efficient way to gather information about project characteristics and programmers, showing that OSS projects are very heterogeneous in their team structures and software processes. However, one problem is that the resulting process metrics measuring attributes of the development process and of the development environment do not give any hints about the quality, complexity, or structure of the resulting software. Therefore, we expanded the analysis by calculating several product metrics, most of them specifically tailored to object-oriented software. We then analyzed the relationship between these product metrics and process metrics derived from a CVS repository. The aim was to establish whether different variants of open source development processes have a significant impact on the resulting software products. In particular we analyzed the impact on quality and design associated with the numbers of contributors and the amount of their work, using the GINI coefficient as a measure of inequality within the developer group.

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