Open AccessMeasures Suitable for SPC: A Systematic Mapping
Author(s) -
Monalessa Perini Barcellos,
Monalessa Perini Barcellos
Publication year - 2016
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/sbqs.2016.15133
Subject(s) - statistical process control , computer science , process (computing) , set (abstract data type) , process management , capability maturity model , data science , risk analysis (engineering) , software , data mining , engineering , business , programming language , operating system
The growing interest of organizations in improving their software processes has lead them to aim at achieving the high maturity, where statistical process control (SPC) is demanded. Through SPC is possible to know processes behavior, predict their performance in future projects and monitor them in order to meet the stablished goals. One of the challenges to perform SPC is the selection of measures suitable for it. Although the literature suggests measures to be used in SPC, information is dispersed. Aiming to provide a consolidated set of measures useful for SPC, as well as the related processes and goals supported by the measures, we conducted a mapping study. This paper presents the study and discusses the main findings.