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Conceptual Data Model-Based Software Size Estimation for Information Systems
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DOI：10.1145/1571629.1571630.png)
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Abstract
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Size estimation plays a key role in effort estimation that has a crucial impact on software projects in the software industry. Some information required by existing software sizing methods is difficult to predict in the early stage of software development. A conceptual data model is widely used in the early stage of requirements analysis for information systems. Lines of code (LOC) is a commonly used software size measure. This article proposes a novel LOC estimation method for information systems from their conceptual data models through using a multiple linear regression model. We have validated the proposed method using samples from both the software industry and open-source systems.
Keywords:
Measurement
Software sizing
line of code (LOC)
conceptual data model
multiple linear regression model
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