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In this paper we present a maintainability based model for estimating the costs of developing source code in its evolution phase. Our model adopts the concept of entropy in thermodynamics, which is used to measure the disorder of a system. In our model, we use maintainability for measuring disorder (i.e. entropy) of the source code of a software system. We evaluated our model on three proprietary and two open source real world software systems implemented in Java, and found that the maintainability of these evolving software is decreasing over time. Furthermore, maintainability and development costs are in exponential relationship with each other. We also found that our model is able to predict future development costs with high accuracy in these systems.
citations 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). | 31 | |
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. | Top 10% | |
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. | Top 10% |