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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...)":
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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...
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Dec 16 2010 |
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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...
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Feb 22 2010 |
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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...
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Dec 18 2009 |
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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...
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Nov 20 2009 |
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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...
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Dec 9 2008 |
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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...
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Nov 13 2008 |
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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...
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May 19 2008 |
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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....
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Nov 8 2006 |
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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...
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Jan 3 2003 |
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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:...
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Jul 2 2002 |
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