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International Journal of Software Engineering (IJSE)
An International peer-review journal operated under CSC-OpenAccess Policy.
ISSN - 2180-1320
Published - Bi-Monthly   |   Established -    |   Year of Publication - 2021

SUBMISSION
June 30, 2021

NOTIFICATION
July 31, 2021

PUBLICATION
August 2021

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VIDEO PRESENTATIONS
Visit Video Section to see author video presentations on their publications.
 
 
RESEARCH CENTERS, INSTITUTES & UNIVERSITIES
 
SEE COMPLETE LIST OF PUBLICATIONS
 

IJSE CITATION IMPACT
3.907

Refer to In-Process Citation Report for IJSE for complete details.
 
LIST OF JOURNALS
Complete list of Open Access journals with free access its publications.
 
For Inquiries & Fast Response cscpress@cscjournals.org

CITATION REPORT FOR IJSE

Below calculations are based on in-process citations that are extracted through Google Scholar.


Total Citations = 168
Self Citations = 0
Total Publications = 43


Citation Impact
(Total Citations - Self Citations) / Total Publications

Citation Impact
(168 - 0) / 43 = 3.907

 
SR
M-CODE
CITATION
1
Derezi?ska, A., & Byczkowski, M. (2018, September). Enhancements of Detecting Gang-of-Four Design Patterns in C# Programs. In International Conference on Information Systems Architecture and Technology (pp. 277-286). Springer, Cham.
2
Dolz, M. F., Astorga, D. D. R., Fernández, J., García, J. D., & Carretero, J. (2018). Towards Automatic Parallelization of Stream Processing Applications. IEEE Access, 6, 39944-39961.
3
Sritharan, S., & Ragel, V. R. (2016). Identifying the Personality Preference Across Faculties and Demographic Factors: Myers-Briggs Personality Profiles of Academics of Eastern University, Sri Lanka. IUP Journal of Organizational Behavior, 15(2), 56.
4
Kumar, P., & Wahid, A. (2016). Performance Evaluation of Data Mining Techniques for Predicting Software Reliability. network, 17, 19.
5
Jaiswal, A., & Malhotra, R. (2016). Software Reliability Prediction Using Machine Learning Techniques. In Proceedings of Fifth International Conference on Soft Computing for Problem Solving (pp. 141-163). Springer Singapore.
6
Muqeem, M. (2016). Design of an Efficient Framework for Requirement Elicitation.
7
Garg, S., Modi, K., & Chaudhary, S. (2016). A QoS-aware Approach for Runtime Discovery, Selection and Composition of Semantic Web Services. International Journal of Web Information Systems, 12(2).
8
Mohsin, A., Fatima, S., Khan, A. U., & Nawaz, F. (2016). An Automated Approach for Web Services Architectural Style Selection. J Inform Tech Softw Eng, 6(176), 2.
9
Huzooree, G., & Ramdoo, V. D. (2015). A Systematic Study on Requirement Engineering Processes and Practices in Mauritius. International Journal, 5(2).
10
Jrad, F., Tao, J., Streit, A., Knapper, R., & Flath, C. (2015). A utilitybased approach for customised cloud service selection. International Journal of Computational Science and Engineering, 10(1-2), 32-44.
 
Complete Citation Report >>
Soruce: Google Scholar.