Journal of Systems and Software

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Journal of Systems and Software  
Jnl of System Software cover.gif
|Subject |Discipline}}Computing Software systems
LanguageEnglish
Edited byP. Avgeriou, D. Shepherd
Publication details
History1979–present
Publisher
Elsevier (The Netherlands)
FrequencyMonthly
2.829 (2020)
Standard abbreviations
ISO 4J. Syst. Softw.
Indexing
ISSN0164-1212
OCLC no.4583109
Links

The Journal of Systems and Software is a computer science journal in the area of software systems, established in 1979 and published by Elsevier.

Content and scope

The journal publishes research papers, state-of-the-art surveys, and practical experience reports. It includes papers covering issues of programming methodology, software engineering, and hardware/software systems. Topics include: "software systems, prototyping issues, high-level specification techniques, procedural and functional programming techniques, data-flow concepts, multiprocessing, real-time, distributed, concurrent, and telecommunications systems, software metrics, reliability models for software, performance issues, and management concerns."[1]

Abstracting and indexing

According to the 2021 Journal Citation Reports, the Journal of Systems and Software has an impact factor of 3.514.[2] According to Google Scholar, the journal has an h5-index of 61, which ranks third among international publication venues in software systems, after ICSE and IEEE Transactions on Software Engineering.[3]

Past and present editors-in-chief

  • John Manley and Alan Salisbury (1979–1983)
  • Richard E. Fairley (1984–1985)
  • Robert L. Glass (1986–2001)
  • David N. Card (2002–2008)
  • Hans van Vliet (2009–2017)
  • Paris Avgeriou and David Shepherd (2018–current)

Notable articles

A few of the most notable (downloaded) articles are:[1]

  • Software defect prediction based on enhanced metaheuristic feature selection optimization and a hybrid deep neural network
  • A software engineering perspective on engineering machine learning systems: State of the art and challenges
  • MeTeaM: A method for characterizing mature software metrics teams

References

External links