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  Browse All Reviews > Software (D) > Software Engineering (D.2) > Metrics (D.2.8) > Product Metrics (D.2.8...)  
 
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  1-10 of 11 Reviews about "Product Metrics (D.2.8...)": Date Reviewed
  Learning a metric for code readability
Buse R., Weimer W. IEEE Transactions on Software Engineering 36(4): 546-558, 2010.  Type: Article

Buse et al. had 120 subjects--mostly undergraduates majoring in computer science--rate the readability (not complexity) of 100 snippets of Java source code from five major open-source programs. Then, they statisticall...

Dec 16 2010
  Post-release reliability growth in software products
Jalote P., Murphy B., Sharma V. ACM Transactions on Software Engineering and Methodology 17(4): 1-20, 2008.  Type: Article

Here is an exciting paper that might even become a seminal one if the conclusions are tested with the rigor of controlled experiments and extensive field experience. The authors offer a new approach for understanding the reliability of...

Feb 22 2010
  Conceptual data model-based software size estimation for information systems
Tan H., Zhao Y., Zhang H. ACM Transactions on Software Engineering and Methodology 19(2): 1-37, 2009.  Type: Article, Reviews: (2 of 2)

The authors propose an approach for estimating software size from conceptual data models of information systems. Three independent variables characterize the conceptual data model: C, “the total number of c...

Dec 18 2009
  Conceptual data model-based software size estimation for information systems
Tan H., Zhao Y., Zhang H. ACM Transactions on Software Engineering and Methodology 19(2): 1-37, 2009.  Type: Article, Reviews: (1 of 2)

This scholarly paper makes several important contributions to the software engineering problem of how to size a system. Remember that size is the principal factor when determining the cost of system development. The authors provide mod...

Nov 20 2009
  Model-based functional size measurement
Lavazza L., del Bianco V., Garavaglia C.  Empirical software engineering and measurement (Proceedings of the Second ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, Kaiserslautern, Germany, Oct 9-10, 2008) 100-109, 2008.  Type: Proceedings

The function point measure of the functional size of a software set is well known for its use as an input in the estimation of development effort. The authors devised a unified modeling language (UML) model-based approach. This paper i...

Dec 9 2008
  Functional size measurement revisited
Gencel C., Demirors O. ACM Transactions on Software Engineering and Methodology 17(3): 1-36, 2008.  Type: Article

The problem of software project cost estimation is still one of the key software engineering challenges. Functional size measurement techniques are widely used as a starting point for other software project cost and effort measurements...

Nov 13 2008
  On the estimation of the functional size of software from requirements specifications
Condori-Fernández N., Abrahão S., Pastor O. Journal of Computer Science and Technology 22(3): 358-370, 2007.  Type: Article

Estimating the size of a software project to be implemented is an important task in software project management. Far too often, the approach to estimation is some ad hoc breakdown of the software to be built into a set of functionaliti...

May 19 2008
  Simulated annealing for improving software quality prediction
Bouktif S., Sahraoui H., Antoniol G.  Genetic and evolutionary computation (Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation, Seattle, Washington, Jul 8-12, 2006) 1893-1900, 2006.  Type: Proceedings

We all know that having several experts give their opinion is better than having just one give it. This paper proves it. The focus is on Bayesian classifiers and the method for developing a prediction algorithm....

Nov 8 2006
  The Optimal Class Size for Object-Oriented Software
El Emam K., Benlarbi S., Goel N., Melo W., Lounis H., Rai S. IEEE Transactions on Software Engineering 28(5): 494-509, 2002.  Type: Article

The authors present a counter proof for the “Goldilocks conjecture,” which states that there is an optimum size for software components. According to the Goldilocks conjecture, components that are larger or smaller...

Jan 3 2003
  Analyzing Data Sets with Missing Data: An Empirical Evaluation of Imputation Methods and Likelihood-Based Methods
Myrtveit I., Stensrud E., Olsson U. IEEE Transactions on Software Engineering 27(11): 999-1013, 2001.  Type: Article

The authors evaluate four statistical methods that analyze data sets with missing data, in the context of software engineering, with the specific goal of building effort prediction models.

The methods evaluated by the authors are:...

Jul 2 2002
 
 
 
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