A logical design methodology for relational databases using the extended entity-relationship model
ACM Computing Surveys (CSUR)
Software Size Estimation of Object-Oriented Systems
IEEE Transactions on Software Engineering
Applied software measurement (2nd ed.): assuring productivity and quality
Applied software measurement (2nd ed.): assuring productivity and quality
Object-oriented modeling and design for database applications
Object-oriented modeling and design for database applications
IEEE Transactions on Software Engineering
An assessment and comparison of common software cost estimation modeling techniques
Proceedings of the 21st international conference on Software engineering
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
An evaluation of the paired comparisons method for software sizing
Proceedings of the 22nd international conference on Software engineering
Function point analysis: measurement practices for successful software projects
Function point analysis: measurement practices for successful software projects
Requirements Analysis Architecture
Requirements Analysis Architecture
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
Fundamentals of Software Engineering
Fundamentals of Software Engineering
Ten unmyths of project estimation
Communications of the ACM
An Empirical Study of Analogy-based Software Effort Estimation
Empirical Software Engineering
A Comparison of Function Point Counting Techniques
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Cost estimation for web applications
Proceedings of the 25th International Conference on Software Engineering
An Empirical Validation of the Relationship Between the Magnitude of Relative Error and Project Size
METRICS '02 Proceedings of the 8th International Symposium on Software Metrics
A Review of Surveys on Software Effort Estimation
ISESE '03 Proceedings of the 2003 International Symposium on Empirical Software Engineering
A Simulation Study of the Model Evaluation Criterion MMRE
IEEE Transactions on Software Engineering
Class Point: An Approach for the Size Estimation of Object-Oriented Systems
IEEE Transactions on Software Engineering
Effort estimation of use cases for incremental large-scale software development
Proceedings of the 27th international conference on Software engineering
Estimating LOC for information systems from their conceptual data models
Proceedings of the 28th international conference on Software engineering
Sizing Data-Intensive Systems from ER Model
IEICE - Transactions on Information and Systems
IEEE Transactions on Software Engineering
Traceability between function point and source code
Proceedings of the 6th International Workshop on Traceability in Emerging Forms of Software Engineering
Handling categorical variables in effort estimation
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
Towards an early software estimation using log-linear regression and a multilayer perceptron model
Journal of Systems and Software
Software effort estimation as a multiobjective learning problem
ACM Transactions on Software Engineering and Methodology (TOSEM) - Testing, debugging, and error handling, formal methods, lifecycle concerns, evolution and maintenance
Aiding Maintenance of Database Applications Through Extracting Attribute Dependency Graph
Journal of Database Management
Information and Software Technology
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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.