Identifying correlations of findings for building process improvement packages using graph clustering

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초록

Software process improvement (SPI) begins with process assessment based on a process reference model such as CMMI. Process improvement action items in SPI are determined according to the identified strengths and weaknesses of the current practice. Therefore, given that a list of assessment findings has been identified, it is important to analyze correlations of findings and identify relevant findings for building improvement items. However, correlation analysis requires expertise and considerable efforts, which makes it difficult for practitioners to perform it in process improvement projects. In this work, we present a CMMI-based method for identifying correlations of findings and building improvement packages using graph clustering techniques. We evaluate the method using industrial data. Copyright (c) 2015 John Wiley & Sons, Ltd.

키워드

software process improvementprocess improvement planningprocess correlation analysisdecision supportoverlapping clusteringSOFTWARE PROCESS IMPROVEMENTLEVEL
제목
Identifying correlations of findings for building process improvement packages using graph clustering
저자
Choi, Su-JinKim, Dae-KyooPark, Sooyong
DOI
10.1002/smr.1723
발행일
2015-08
유형
Article
저널명
Journal of Software: Evolution and Process
27
8
페이지
514 ~ 527