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Statistical process control and improvement in agile software development methodologies

Posted on:2007-08-03Degree:M.SType:Thesis
University:California State University, Dominguez HillsCandidate:March, Guy WFull Text:PDF
GTID:2458390005489906Subject:Computer Science
Abstract/Summary:
Statistical process control (SPC) and process improvement (SPI) are tools that are too valuable and too powerful to ignore in Agile software development methodologies. SPC and SPI can fit well into a set of methodologies whose aim is to improve the software development process. These tools can assist the Agile methodologies in attaining their goals. This study addresses the Agile community's obstacles and concerns about the use of SPC and SPI, using the principles of SPC and the applicable theory behind Agile.; Several scenarios of Agile implementation are presented to illustrate the effect SPC and SPI would have on software development process improvement. Agile methodologies are examined as facilitators of the acceptance of SPC and SPI in the software development industry.; The study is based on life-cycle experience in Scrum and XP, the study of the Agile methods, years of experience in SPC and SPI, and SPC software developer.
Keywords/Search Tags:SPC, Agile, SPI, Software, Process, Improvement, Methodologies
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