Analysis of Tree-Family Machine Learning Techniques for Risk Prediction in Software Requirements-Reference-Cited by-同舟云学术

Analysis of Tree-Family Machine Learning Techniques for Risk Prediction in Software Requirements

Author:

Khan Bilal¹^ORCID,Naseem Rashid²^ORCID,Alam Iftikhar¹,Khan Inayat³^ORCID,Alasmary Hisham⁴,Rahman Taj⁵^ORCID

Affiliation:

1. Department of Computer Science, City University of Science and Information Technology, Peshawar, Pakistan

2. Department of IT and Computer Science, Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology, Haripur, Pakistan

3. Department of Computer Science, The University of Buner, Buner, Pakistan

4. Department of Computer Science, College of Computer Science, King Khalid University, Abha, Saudi Arabia

5. Department of Computer Science, Qurtuba University of Science and Technology, Peshawar, Pakistan

Funder

Deanship of Scientific Research at King Khalid University through the Large Groups Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference48 articles.

4. Cost sensitive decision forest and voting for software defect prediction;siers;Trends in Artificial Intelligence,2014

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