International Journal of Open Source Software and Processes

Aims & Scope

The International Journal of Open Source Software and Processes (IJOSSP) publishes high-quality peer-reviewed and original research articles on the large field of open source software and processes.

This wide area entails many intriguing question and facets, including the special development process performed by a large number of geographically dispersed programmers, community issues like coordination and communication, motivations of the participants, and also economic and legal issues.

Beyond this topic, open source software is an example of a highly distributed innovation process led by the users.

Therefore, many aspects have relevance beyond the realm of software and its development.

In this tradition, IJOSSP also publishes papers on these topics.

IJOSSP is a multi-disciplinary outlet, and welcomes submissions from all relevant fields of research and applying a multitude of research approaches.

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.130

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	12

Journal Rank

Year	Value
2024	26367

Journal Citation Indicator

Year	Value
2024	8

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Tools for the Study of the Usual Data Sources found in Libre Software Projects

  Citation: 45

  Authors: Gregorio, Jesús M., Daniel, Israel

• Software Fault Prediction Using Deep Learning Algorithms

  Citation: 29

  Authors: Osama, Mohammed

• Open Source Software Adoption

  Citation: 25

  Authors: Brian

• An Empirical Comparison of Machine Learning Techniques in Predicting the Bug Severity of Open and Closed Source Projects

  Citation: 24

  Authors: K. K., V.B.

• To Fork or Not to Fork

  Citation: 21

  Authors: Linus, Tommi

• Performance Evaluation of Xen, KVM, and Proxmox Hypervisors

  Citation: 20

  Authors: Sultan Abdullah, Mohammad Rafi, Roobaea, Ahmed S, Farrukh

• Severity Assessment of a Reported Bug by Considering its Uncertainty and Irregular State

  Citation: 19

  Authors: Madhu, Meera, V. B.

• An Empirical Study of Open Source Software Usability

  Citation: 19

  Authors: Arif, Luiz Fernando, Faheem

• An Open Source Software

  Citation: 15

  Authors: Dipanjan, Sreejita, Amit Kumar

• A Novel Approach to Optimize the Performance of Hadoop Frameworks for Sentiment Analysis

  Citation: 14

  Authors: Guru, Amith K., Prithviraj

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