Formalizing Open Source Software Quality Assurance Model by Identifying Common Features from Open Source Software Projects

2020 ◽  
pp. 1375-1384
Author(s):  
Ekbal Rashid ◽  
Mohan Prakash ◽  
Mohd Dilshad Ansari ◽  
Vinit Kumar Gunjan
Keyword(s):  
Quality Assurance ◽  
Open Source ◽  
Software Quality ◽  
Open Source Software ◽  
Software Quality Assurance ◽  
Software Projects ◽  
Common Features

scholarly journals Software Quality Assurance in Software Projects: A Study of Pakistan

2013 ◽  
Vol 5 (18) ◽  
pp. 4568-4575
Author(s):  
Faisal Shafique Butt ◽  
Sundus Shaukat ◽  
M. Wasif Nisar ◽  
Ehsan Ullah Munir ◽  
Muhammad Waseem ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Software Quality ◽  
Software Quality Assurance ◽  
Software Projects

scholarly journals On Predicting Rediscoveries of Software Defects

2021 ◽  
Author(s):  
Mefta Sadat
Keyword(s):  
Customer Satisfaction ◽  
Open Source ◽  
Predictive Model ◽  
Software Quality ◽  
Open Source Software ◽  
Large Scale ◽  
Software Defects ◽  
Enterprise Software ◽  
Software Projects ◽  
Multiple Clients

The same defect may be rediscovered by multiple clients, causing unplanned outages and leading to reduced customer satisfaction. One solution is forcing clients to install a fix for every defect. However, this approach is economically infeasible, because it requires extra resources and increases downtime. Moreover, it may lead to regression of functionality, as new fixes may break the existing functionality. Our goal is to find a way to proactively predict defects that a client may rediscover in the future. We build a predictive model by leveraging recommender algorithms. We evaluate our approach with extracted rediscovery data from four groups of large-scale open source software projects (namely, Eclipse, Gentoo, KDE, and Libre) and one enterprise software. The datasets contain information about ⇡ 1.33 million unique defect reports over a period of 18 years (1999-2017). Our proposed approach may help in understanding the defect rediscovery phenomenon, leading to improvement of software quality and customer satisfaction.

scholarly journals On Predicting Rediscoveries of Software Defects

2021 ◽  
Author(s):  
Mefta Sadat
Keyword(s):  
Customer Satisfaction ◽  
Open Source ◽  
Predictive Model ◽  
Software Quality ◽  
Open Source Software ◽  
Large Scale ◽  
Software Defects ◽  
Enterprise Software ◽  
Software Projects ◽  
Multiple Clients

The same defect may be rediscovered by multiple clients, causing unplanned outages and leading to reduced customer satisfaction. One solution is forcing clients to install a fix for every defect. However, this approach is economically infeasible, because it requires extra resources and increases downtime. Moreover, it may lead to regression of functionality, as new fixes may break the existing functionality. Our goal is to find a way to proactively predict defects that a client may rediscover in the future. We build a predictive model by leveraging recommender algorithms. We evaluate our approach with extracted rediscovery data from four groups of large-scale open source software projects (namely, Eclipse, Gentoo, KDE, and Libre) and one enterprise software. The datasets contain information about ⇡ 1.33 million unique defect reports over a period of 18 years (1999-2017). Our proposed approach may help in understanding the defect rediscovery phenomenon, leading to improvement of software quality and customer satisfaction.

What Makes Open Source Software Projects Impactful: A Data-Driven Approach

2020 ◽  
Author(s):  
Huaiwei Yang ◽  
Shuang Liu ◽  
Lin Gui ◽  
Yongxin Zhao ◽  
Jun Sun ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Data Driven ◽  
Software Projects ◽  
Data Driven Approach

scholarly journals The Labor of Maintaining and Scaling Free and Open-Source Software Projects

2021 ◽  
Vol 5 (CSCW1) ◽  
pp. 1-28
Author(s):  
R. Stuart Geiger ◽  
Dorothy Howard ◽  
Lilly Irani
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Projects
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