Machine Learning in Predicting the Appropriate Model of Software Process Models Deviation-

TitleMachine Learning in Predicting the Appropriate Model of Software Process Models Deviation-
Publication TypeJournal Article
Year of Publication2018
AuthorsChaghrouchni, T, Kabbaj, IMohammed, Bakkoury, Z
JournalJournal of Digital Information Management
Volume16
Issue6
Start Page308
Pagination308-323
Date Published12/.2018
Type of ArticleResearch
Abstract

 Software Process Model deviation management allows to supervise process model execution and its adaptation when an inconsisteny is detected. The process model should be adjusted based on specified rules in order to ensure the continuity of  the process model execution. Journal of Digital Information Management “priority and dependency of sub-activities “ and data from previous executions to predict the appropriate software process model. Subject Categories and Descriptors D.2.3 [Software Coding Tools and Techniques]; F.1.1 Models of Computation Some works attempted to handle process model deviation by adjusting fragments and considering some rules to ensure that all constraints are met. Other studies considered only critical constraints in order to avoid cost/ schedule overrun: rules considering the criticality of the activities and their order. However, it is still generating uncertain executions with no mastery on the final result

URLhttp://dline.info/fpaper/jdim/v16i6/jdimv16i6_3.pdf
DOI10.6025/jdim/2018/6/289-307
Refereed DesignationRefereed

Collaborative Partner

Institute of Electronic and Information Technology (IEIT)

Collaborative Partner

Collaborative Partner