Fuzzy Clustering of Open-Source Software Quality Data: A Case Study of Mozilla

Dick, Scott; Sadia, A.

doi:10.1109/ijcnn.2006.246954

Cited by 4 publications

(1 citation statement)

References 27 publications

(36 reference statements)

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“…A number of authors have investigated the use of machine-learning techniques for software defect prediction. Some examples include neural networks [22], genetic programming [23], fuzzy clustering ( [24] and decision trees [25]. For example, Seliya et al [26] proposed a semi-supervised clustering method to detect failures in software modules.…”

Section: Learning Techniquesmentioning

confidence: 99%

Temporal Patterns of Software Evolution Defects: A Comparative Analysis of Open Source and Closed Source Projects

Raja

Hale

2011

JSEA

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This study examines temporal patterns of software systems defects using the Autoregressive Integrated Moving Average (ARIMA) approach. Defect reports from ten software application projects are analyzed; five of these projects are open source and five are closed source from two software vendors. Across all sampled projects, the ARIMA time series modeling technique provides accurate estimates of reported defects during software maintenance, with organizationally dependent parameterization. In contrast to causal models that require extraction of source-code level metrics, this approach is based on readily available defect report data and is less computation intensive. This approach can be used to improve software maintenance and evolution resource allocation decisions and to identify outlier projects—that is, to provide evidence of unexpected defect reporting patterns that may indicate troubled projects

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Section: Learning Techniquesmentioning

confidence: 99%

Temporal Patterns of Software Evolution Defects: A Comparative Analysis of Open Source and Closed Source Projects

Raja

Hale

2011

JSEA

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The Role of Local Open Source Communities in the Development of Open Source Projects

Abdulwahhab

Alabady

Sattar

et al. 2016

IFIP Advances in Information and Communication Technology

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Abstract-in this paper we are going investigate the role of local open source communities (LOSCs) in the development of open source projects (OSPs). We are going to look into the importance of the LOSCs, the motivation to join them and their impacts on OSP. Our interest in this topic originated from the fact that there is a lack of studies regarding this topic. To have a clear understanding of the problem, we have decided to adopt the case study strategy as our research methodology. In the research we have conducted seven interviews with members within different LOSCs. The results we obtained have proven the importance of LOSCs and the role it plays in the development of OSP.

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Systematic review on next-generation web-based software architecture clustering models

Yang

Jiang

Shang

et al. 2021

Computer Communications

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Fuzzy Clustering of Open-Source Software Quality Data: A Case Study of Mozilla

Cited by 4 publications

References 27 publications

Temporal Patterns of Software Evolution Defects: A Comparative Analysis of Open Source and Closed Source Projects

Temporal Patterns of Software Evolution Defects: A Comparative Analysis of Open Source and Closed Source Projects

The Role of Local Open Source Communities in the Development of Open Source Projects

Systematic review on next-generation web-based software architecture clustering models

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