Conceptual data model-based software size estimation for information systems

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Conceptual data model-based software size estimation for information systems

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ACM Transactions on Software Engineering and Methodology (TOSEM) archive
Volume 19 , Issue 2 (October 2009) table of contents

Article No. 4

Year of Publication: 2009

ISSN:1049-331X

Authors

Hee Beng Kuan Tan	Nanyang Technological University, Nanyang Avenue, Singapore
Yuan Zhao	Nanyang Technological University, Nanyang Avenue, Singapore
Hongyu Zhang	Tsinghua University, Beijing, China

Publisher

ACM New York, NY, USA

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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.

REFERENCES

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