Investigation of Ensemble Learners for Change Prediction in Android Operating System
As a software system evolves, the changes are introduced at every stage of its development. The timely identification of the classes which are prone to changes is very important to reduce the costs associated with the maintenance phase. Thus, the author has developed various models which can be used in the design phase (one of the early phases) to identify the parts of software which are more change prone than others. Software metrics along with the change data can be used for developing the models. In this study, the author aims to investigate the performance of various ensemble learners
and a statistical model for identifying the classes which are change prone. The use of ensemble learners give the researchers an opportunity to analyze and investigate them in the area of change prediction. The empirical validation is carried on 5 official releases of Android operating system. The overall results of the study indicate that the ensemble learners are capable of effective prediction.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.