Three-dimensional wiener process based entropy prediction modelling for OSS

Deepika, Adarsh Anand (), Ompal Singh () and P. K. Kapur ()
Additional contact information
Deepika: University of Delhi
Adarsh Anand: University of Delhi
Ompal Singh: University of Delhi
P. K. Kapur: University of Delhi

International Journal of System Assurance Engineering and Management, 2021, vol. 12, issue 1, No 19, 188-198

Abstract: Abstract Changes in software source codes are unavoidable and source code of software is repetitively modified to meet user’s huge requirements. Largely there are three types of code changes occur in the source code namely, bug repair, feature enhancement and addition of new features. The change due to bug fix, improvement and accumulation of new features brings uncertainties in the bug removal rate. In the present work, these uncertainties have been explicitly modeled and using three-dimensional wiener processes that define the three types of fluctuation; we have come up with an entropy prediction modelling framework. The analytical solution of the equation is interpreted using Itô’s process. The models are fitted on three real life projects namely Avro, Hive and Pig of Apache open source software. The experimental findings show that present models exhibit accurate estimation results and have strong prediction skills.

Keywords: Bug removal rate; Complexity of code changes (CCC); Differential equation (DE); Entropy; Fluctuations open source software (OSS) (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-020-01040-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:12:y:2021:i:1:d:10.1007_s13198-020-01040-4

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-020-01040-4

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().