
doi: 10.1002/smr.252
AbstractCM$^3$: Problem Management is a first detailed descriptive problem management process model to be utilized within corrective maintenance. It is the result of a long‐term empirical study of industrial corrective maintenance processes. It has been developed at ABB and evaluated for its industrial relevance within 17 non‐ABB organizations.Playing the role of a descriptive model, CM$^3$: Problem Management specifies what a problem management process should look like. It also structures it into three maturity levels, Initial, Defined, and Optimal, where each level offers a different grainedness of process visibility.In this paper, we present the CM$^3$ levels of problem management process maturity within corrective maintenance and match them against the industrial state of practice. Our goal is to establish the current status of problem management maturity using CM$^3$: Problem Management as an evaluation model. Our evaluation results show that the industrial processes today suffice to attend to software problems within corrective maintenance. Very few of them, however, do learn from the past in order to prevent future problems and to improve development or maintenance processes. Copyright © 2002 John Wiley & Sons, Ltd.
Computing methodologies and applications, descriptive process model, General topics in the theory of software, problem management maturity, corrective maintenance, state of practice
Computing methodologies and applications, descriptive process model, General topics in the theory of software, problem management maturity, corrective maintenance, state of practice
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 19 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
