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  Browse All Reviews > Software (D) > Software Engineering (D.2) > Metrics (D.2.8) > Complexity Measures (D.2.8...)  
 
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  1-10 of 23 Reviews about "Complexity Measures (D.2.8...)": Date Reviewed
  Short lists for shortest descriptions in short time
Teutsch J. Computational Complexity 23(4): 565-583, 2014.  Type: Article

Compressing a string to its shortest description (in the sense of Kolmogorov complexity) cannot be done effectively. This paper belongs to a recent research line that investigates the list approximability of the problem, namely whether...

Mar 3 2015
  Resilience is more than availability
Bishop M., Carvalho M., Ford R., Mayron L.  NSPW 2011 (Proceedings of the 2011 New Security Paradigms Workshop, Marin County, CA, Sep 12-15, 2011) 95-104, 2011.  Type: Proceedings

The definition of terms designed to focus on their technical meaning and thereby clarify specification is the goal of this paper. Three terms--resilient, robust, and survivable--are its focus. It is too bad that the a...

Mar 15 2012
  Entropy and software systems: towards an information-theoretic foundation of software testing
Yang L., Dang Z., Fischer T., Kim M., Tan L.  FoSER 2010 (Proceedings of the FSE/SDP Workshop on the Future of Software Engineering Research, Santa Fe, NM, Nov 7-8, 2010) 427-432, 2010.  Type: Proceedings

Considering the density of bugs in software systems to be the equivalent of the amount of uncertainty in them, this paper introduces a model for using entropy in information theory to measure it. It shows that, as we test a software sy...

Aug 25 2011
  Validation of network measures as indicators of defective modules in software systems
Tosun A., Turhan B., Bener A.  PROMISE 2009 (Proceedings of the 5th International Conference on Predictor Models in Software Engineering, Vancouver, BC, Canada, May 18-19, 2009) 1-9, 2009.  Type: Proceedings

The ability to identify software modules that contain defects by using network measures would be a tremendous achievement in software engineering. This paper reproduces the results of Zimmermann and Nagappan [1] in using network measur...

Aug 6 2009
  Visualization-based analysis of quality for large-scale software systems
Langelier G., Sahraoui H., Poulin P.  Automated software engineering (Proceedings of the 20th IEEE/ACM International Conference on Automated Software Engineering, Long Beach, CA, Nov 7-11, 2005) 214-223, 2005.  Type: Proceedings

Analyzing complex software is not an easy task. In many instances, software engineers have to depend on automated techniques to perform this task. This paper highlights the human ability to perform complex software analysis, and discus...

Apr 5 2006
  Measures for mobile users: an architecture
Sillitti A., Janes A., Succi G., Vernazza T. Journal of Systems Architecture: the EUROMICRO Journal 50(7): 393-405, 2004.  Type: Article

Software metrics, and measures of programmer productivity, are important to many people; this paper is about a tool that helps in the automatic collection of data associated with such statistics. Automatic collection is desirable becau...

Mar 10 2005
  Distinguishing string selection problems
Lanctot J., Li M., Ma B., Wang S., Zhang L. Information and Computation 185(1): 41-55, 2003.  Type: Article

The title of this paper is ambiguous. Eventually, the paper considers problems that are solved by finding an optimal distinguishing string, but it does not directly distinguish between various string selection problems. Nor does the pa...

Mar 19 2004
  Empirical Analysis of CK Metrics for Object-Oriented Design Complexity: Implications for Software Defects
Subramanyam R., Krishnan M. IEEE Transactions on Software Engineering 29(4): 297-310, 2003.  Type: Article, Reviews: (2 of 2)

Empirical evidence supporting the role of object-oriented (OO) design complexity metrics in investigating software defects is provided in this paper. A subset of the Chidamber and Kemerer (CK) suite of OO design measures, comprising nu...

Nov 26 2003
  Empirical Analysis of CK Metrics for Object-Oriented Design Complexity: Implications for Software Defects
Subramanyam R., Krishnan M. IEEE Transactions on Software Engineering 29(4): 297-310, 2003.  Type: Article, Reviews: (1 of 2)

This paper reports on an analysis of regression models for software defects, based on a subset of the Chidamber and Kemerer (CK) object-oriented metric suite: weighted methods per class (WMC), coupling between object classes (CBO), and...

Jun 25 2003
  Object-oriented metrics
Henderson-Sellers B., Prentice-Hall, Inc., Upper Saddle River, NJ, 1996.  Type: Book (9780132398725)

The focus of this book is on software metrics that are suited for evaluating and measuring object-oriented systems. The author starts with two introductory chapters. The first chapter reviews the characteristics of object-oriented syst...

Dec 1 1996
 
 
 
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