Welcome to the InfoSci Platform
Reference Hub1
Enhancing Behavioral Dependency for Effective Computing in Software

Enhancing Behavioral Dependency for Effective Computing in Software

Deepa Bura, Amit Choudhary
Copyright: © 2022 |Volume: 11 |Issue: 2 |Pages: 23
ISSN: 2160-9772|EISSN: 2160-9799|EISBN13: 9781799898245|DOI: 10.4018/IJSDA.20220701.oa1
Cite Article Cite Article

MLA

Bura, Deepa, and Amit Choudhary. "Enhancing Behavioral Dependency for Effective Computing in Software." IJSDA vol.11, no.2 2022: pp.1-23. http://doi.org/10.4018/IJSDA.20220701.oa1

APA

Bura, D. & Choudhary, A. (2022). Enhancing Behavioral Dependency for Effective Computing in Software. International Journal of System Dynamics Applications (IJSDA), 11(2), 1-23. http://doi.org/10.4018/IJSDA.20220701.oa1

Chicago

Bura, Deepa, and Amit Choudhary. "Enhancing Behavioral Dependency for Effective Computing in Software," International Journal of System Dynamics Applications (IJSDA) 11, no.2: 1-23. http://doi.org/10.4018/IJSDA.20220701.oa1

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Software plays an important role in effective computing and communication of any services. It become crucial to identify some critical parts of the software that can lead to enhanced computing and increases efficiency of the software. Dependency plays a significant role in finding relationship amongst classes and predicting change prone classes. This paper aims to enhance Behavioral Dependency by defining 6 types of dependencies amongst classes. These are (i) direct behavioral dependency (ii) indirect behavioral dependency (iii) internal behavioral dependency (iv) external behavioral dependency (v) indirect internal behavioral dependency and (vi) Indirect External Behavioral Dependency. Evaluating these dependencies, gives accurate results for the prediction of change prone classes. Further, paper compares proposed approach with existing methods.