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Evaluating Complexities in Software Configuration Management
Abstract
In software engineering, software configuration management tools such as Apache Ant, CVS or ClearCase [1, 3, 5, 9] are often included as an integral part of constructing large information systems or managing changes in information systems [7, 8, 11]. It is often assumed that the organizations involved in the development and support of information systems have naturally embraced the concept of software configuration management. While enterprises engaged in medium to large size information systems development and support do subscribe to the concept of configuration management, many smaller establishments only pay lip services to this important activity. In this paper we will explore the reasons behind this through analysis of levels of complexity in software configuration management (SCM). First SCM will be discussed, categorized and divided into four different dimensional areas. Then a set of volume metrics related to these dimensional areas will be defined. Levels of complexities of SCM, in terms of volume metrics, will be explored. We will utilize a real case of a software application development to demonstrate the utility of these metrics and how the levels of complexity of SCM may be used to help the decision process of incorporating SCM and SCM tools. Ultimately, our goal is to provide a clear measure on the degrees of SCM and an ordering scheme of implementing SCM.
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