DOI:10.20894/IJBI.
Periodicity: Bi Annual.
Impact Factor:
SJIF:5.065
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJBI provides online manuscript tracking system.

Every issue of Journal of IJBI is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJCOA special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJBI website. For complete procedure, contact us at admin@iirgroups.org

Paper Template
Copyright Form
Subscription Form
web counter
web counter
Published in:   Vol. 6 Issue 1 Date of Publication:   June 2017

Associative Analysis of Software Development Phase Dependency

N.Sasikala

Page(s):   10-14 ISSN:   2278-2397
DOI:   10.20894/IJBI.105.006.001.003 Publisher:   Integrated Intelligent Research (IIR)

The Success of software development is based on the developers involvement and the adapted software architectures. The software development activities are highly dependent one with another in all its phases. The software development activities and its dependency of the internal activities are influences the quality of the software. The Associative analysis of software development which is focused to determine to identify the potential developers in line with the software development models. The potential software developer is identified based on the cumulative weight of developers contribution on each phases and its activities weight. The activity relationships are presented as a unit matrix and the common phase activity is calculated to determine dependency between the phases in each module, projects as per the selected as per the selected software architecture. A neural network model is constructed and identifies the developers weight related to their interaction between one phase of the project to another on the same project. The occurrence relationship and its frequency values are obtained according to the number of activities involved by each developer in their entire development process. The weight values supported to identify the influencing factors of the developers in different models. It will leads to identify the potential developers, future project planning and business planning activities.