Conceptual data model-based software size estimation for information systems
ACM Transactions on Software Engineering and MethodologyPublished 1 October 2009
Hee Beng Kuan Tan, Yuan Zhao, Hongyu Zhang
Citations49
SJR quartileQ1
SJR score1.28
SNIP2.11
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TL;DR
This article proposes a novel LOC estimation method for information systems from their conceptual data models through using a multiple linear regression model and validated the proposed method using samples from both the software industry and open-source systems.
Abstract
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
Computer Science
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