Conceptual data model-based software size estimation for information systems

Author:

Tan Hee Beng Kuan1,Zhao Yuan1,Zhang Hongyu2

Affiliation:

1. Nanyang Technological University, Nanyang Avenue, Singapore

2. Tsinghua University, Beijing, China

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Software

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