Measures Suitable for SPC: A Systematic Mapping

Abstract

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.

FQMaP: Towards a Framework Quantitative Management of Processes in Small Software Development Organizations

“…(c) Metrics, measurement and analysis in software improvement presented by [1], [3], [6], [7], [8], [9], [39], [40], [41], [42], [43].…”

“…The control chart groups the values of the selected process attribute, which in this case is the amount of defects found. That attribute was selected according to suggested by [7], [8] and [69], where it is mentioned the number of defects in a software product is an important measurement because it provides a reference to measure the degree of client satisfaction, efficiency of inspection processes, processes that still require inspection, and the system components prone to presenting errors. This attribute provides evidence of the quality of the product and related processes.…”

“…Consequently, entities require managing them in quantitative manner by applying statistical techniques [1]. There are researchers refers Statistical Process Control (SPC) as a tool for process improvement [2], [3], [4], [5], [6], [7], [8], [9]; although there are disagrees about its application in software processes [10], [11].…”