Statistical Analysis of Process Monitoring Data for Software Process Improvement and Its Application

ISSN Print: 2160-8830
ISSN Online: 2160-8849
www.scirp.net/journal/ajor
E-mail: [email protected]

Citations

"Statistical Analysis of Process Monitoring Data for Software Process Improvement and Its Application"
written by Kazuhiro Esaki, Yuki Ichinose, Shigeru Yamada,
published by American Journal of Operations Research, Vol.2 No.1, 2012

has been cited by the following article(s):

[1]	Soil microbial community responses to cyanobacteria versus traditional organic fertilizers
	Agriculture, 2023

[2]	Evaluating the Susceptibility of Some Wheat Varieties to Infestation of Khapra beetle (Trogoderma granarium Everts) Under Storage Conditions
	Basrah Journal of Agricultural Sciences, 2023

[3]	Spatial Modeling of Groundwater Level in Bangladesh Using Physio-Climatic Variables: Machine Learning and Statistical Approaches
	2022

[4]	Microbiological attributes of the soil under Eucalyptus areas and seasonal forests.
	2021

[5]	Microbiological attributes of the soil under eucalyptus areas and seasonal forests
	Scientia Forestalis, 2021

[6]	SMART-SPI: A data analysis model for software process improvement
	2018

[7]	Monitoring oriented agile based web applications development methodology for small software firms in Jordan
	2016

[8]	Effort Monitoring and Tracking System
	2016

[9]	MONITORING ORIENTED AGILE BASED WEB APPLICATIONS DEVELOPMENT METHODOLOGY FOR SMALL SOFTWARE FIRMS
	THESIS, 2016

[10]	Analysis of Influence of Price to Customer Satisfaction Based on the Prediction Models
	Intelligent Information Management, 2013

[11]	Verification of Quality Requirement Method Based on the SQuaRE System Quality Model
	American Journal of Operations Research, 2013

[12]	Three Dimensional Integrated Value Models Based on ISO/IEC9126 System Quality Model
	American Journal of Operations Research, 2013

[13]	Challenges and Implementation of Effort Tracking System
	2013

[1]	Biochemical characterization of a novel arabinose isomerase for rare sugar production and optimization through enzyme immobilization International Journal of Biological Macromolecules, 2025 DOI:10.1016/j.ijbiomac.2025.145521

[2]	Prediction Models for Total Customer Satisfaction Based on the ISO/IEC9126 System Quality Model American Journal of Operations Research, 2013 DOI:10.4236/ajor.2013.34037

[3]	Verification of Quality Requirement Method Based on the SQuaRE System Quality Model American Journal of Operations Research, 2013 DOI:10.4236/ajor.2013.31006

[4]	Analysis of Influence of Price to Customer Satisfaction Based on the Prediction Models Intelligent Information Management, 2013 DOI:10.4236/iim.2013.53010

[5]	Three Dimensional Integrated Value Models Based on ISO/IEC9126 System Quality Model American Journal of Operations Research, 2013 DOI:10.4236/ajor.2013.33031