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Measure early and decide fast: Transforming quality management and measurement to continuous deployment

Conference paper
Authors Gul Calikli
Miroslaw Staron
Wilhelm Meding
Published in ACM International Conference Proceeding Series
Publication year 2018
Published at Department of Computer Science and Engineering (GU)
Software Center
Institutionen för data- och informationsteknik, Software Engineering (GU)
Language en
Keywords Continuous deployment, Metrics, Software quality
Subject categories Software Engineering

Abstract

© 2018 Association for Computing Machinery. Continuous deployment has become software companies' inevitable response to the economic pressures of the market. At the same time, software quality is crucial in order to meet customers' expectations and hence succeed in the market. Therefore, current quality management processes require transformation in order to keep up with the fast pace of the market while at the same time meeting customers' expectations. In order to figure out how the current quality management process should be transformed to keep up with the fast pace of the market while ensuring both product quality and continuous deployment, we conducted a qualitative study at a large infrastructure provider company. During the interviews we conducted with the quality manager, developer and test architect, we used a metrics portfolio consisting of 59 candidate metrics that can be used in the transformed quality management process. Our findings show that, out of these candidate metrics, 9 metrics should be used in the internal quality measurement dashboard for quality check at the end of the software development life-cycle (SDLC) before the software is released to customer site, while 3 metrics should be used by quality manager to monitor earlier phases of SDLC and 5 metrics should also be delegated to earlier phases of SDLC but without the involvement of the quality manager. To summarize, our study support the claim that quality managers should not be only gatekeepers, but also proactive controllers of quality by monitoring earlier phases of the SDLC.

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