Static and Dynamic Complexity Analysis of Software Metrics
Software complexity metrics are used to predict
critical information about reliability and maintainability of software
systems. Object oriented software development requires a different
approach to software complexity metrics. Object Oriented Software
Metrics can be broadly classified into static and dynamic metrics.
Static Metrics give information at the code level whereas dynamic
metrics provide information on the actual runtime. In this paper we
will discuss the various complexity metrics, and the comparison
between static and dynamic complexity.
[1] Shyam R. Chidamber and Chris F. Kemerer," A Metrics Suite for Object
Oriented Design", IEEE Transactions on Software Engineering, Vol. 20,
NO. 6, JUNE 1994.
[2] Yutao Ma, Keqing He, Dehui Du, Jing Liu, and Yulan Yan , "A
Complexity Metrics Set for Large-scale Object-oriented Software
Systems", IEEE International Conference on Computer and Information
Technology (CIT'06).
[3] Sherif Yacoub, Tom Robinson, and Hany H. Ammar , "Dynamic Metrics
for Object Oriented Designs", Software Metrics Symposium, 1999.
Proceedings. Sixth International Volume , Issue , 1999 Page(s):50 - 61
[4] John C. Munson, Taghi M. Khoshgoftaar, "Measuring Dynamic Program
Complexity," IEEE Software, vol. 9, no. 6, pp. 48-55, Nov./Dec. 1992,
doi:10.1109/52.168858
[5] John C. Munson, Gregory A. Hall, "Estimating test effectiveness with
dynamic complexity measurement", Empirical Software Engineering
Journal, ISSN- 1382-3256.
[6] Kevin A Mayo, Steven A Wake, Sallie M. Henry," Static and Dynamic
Software Quality Metric Tools", Department of computer Science,
Virginia Tech, Blacksburg.
[7] Jane Huffman Hayes, "Testing of Object-Oriented Programming
Systems (OOPS): A Fault-Based-Approach", Science Applications
International Corporation, 1213 Jefferson-Davis Highway, Suite 1300,
22202 Arlington, Virginia.
[8] IEEE Std. 1061-1998 IEEE Computer Society: Standard for Software
Quality Metrics Methodology, 1998.
[9] Li, W.; Henry, S.: "Object Oriented Metrics that predict
Maintainability", Journal of Systems and Software, Vol. 23, No. 2,
1993, pp 111-122
[10] Ammar, H. H., Nikzadeh, T., Dugan, J., "A Methodology for Risk
Assessment of Functional Specification of Software Systems Using
Colored Petri Nets", Proc. Of the Fourth International Software Metrics
Symposium, Metrics'97, Albuquerque, New Mexico, Nov 5-7, 1997,
pp108-117.
[11] Munson, J., Khoshgoftaar, T., "Software Metrics for Reliability
Assessment", in Handbook of Software Reliability Engineering,
Michael Lyu (edt.), McGraw-Hill, 1996, Chapter 12, pp 493-529.
[1] Shyam R. Chidamber and Chris F. Kemerer," A Metrics Suite for Object
Oriented Design", IEEE Transactions on Software Engineering, Vol. 20,
NO. 6, JUNE 1994.
[2] Yutao Ma, Keqing He, Dehui Du, Jing Liu, and Yulan Yan , "A
Complexity Metrics Set for Large-scale Object-oriented Software
Systems", IEEE International Conference on Computer and Information
Technology (CIT'06).
[3] Sherif Yacoub, Tom Robinson, and Hany H. Ammar , "Dynamic Metrics
for Object Oriented Designs", Software Metrics Symposium, 1999.
Proceedings. Sixth International Volume , Issue , 1999 Page(s):50 - 61
[4] John C. Munson, Taghi M. Khoshgoftaar, "Measuring Dynamic Program
Complexity," IEEE Software, vol. 9, no. 6, pp. 48-55, Nov./Dec. 1992,
doi:10.1109/52.168858
[5] John C. Munson, Gregory A. Hall, "Estimating test effectiveness with
dynamic complexity measurement", Empirical Software Engineering
Journal, ISSN- 1382-3256.
[6] Kevin A Mayo, Steven A Wake, Sallie M. Henry," Static and Dynamic
Software Quality Metric Tools", Department of computer Science,
Virginia Tech, Blacksburg.
[7] Jane Huffman Hayes, "Testing of Object-Oriented Programming
Systems (OOPS): A Fault-Based-Approach", Science Applications
International Corporation, 1213 Jefferson-Davis Highway, Suite 1300,
22202 Arlington, Virginia.
[8] IEEE Std. 1061-1998 IEEE Computer Society: Standard for Software
Quality Metrics Methodology, 1998.
[9] Li, W.; Henry, S.: "Object Oriented Metrics that predict
Maintainability", Journal of Systems and Software, Vol. 23, No. 2,
1993, pp 111-122
[10] Ammar, H. H., Nikzadeh, T., Dugan, J., "A Methodology for Risk
Assessment of Functional Specification of Software Systems Using
Colored Petri Nets", Proc. Of the Fourth International Software Metrics
Symposium, Metrics'97, Albuquerque, New Mexico, Nov 5-7, 1997,
pp108-117.
[11] Munson, J., Khoshgoftaar, T., "Software Metrics for Reliability
Assessment", in Handbook of Software Reliability Engineering,
Michael Lyu (edt.), McGraw-Hill, 1996, Chapter 12, pp 493-529.
@article{"International Journal of Information, Control and Computer Sciences:51814", author = "Kamaljit Kaur and Kirti Minhas and Neha Mehan and Namita Kakkar", title = "Static and Dynamic Complexity Analysis of Software Metrics", abstract = "Software complexity metrics are used to predict
critical information about reliability and maintainability of software
systems. Object oriented software development requires a different
approach to software complexity metrics. Object Oriented Software
Metrics can be broadly classified into static and dynamic metrics.
Static Metrics give information at the code level whereas dynamic
metrics provide information on the actual runtime. In this paper we
will discuss the various complexity metrics, and the comparison
between static and dynamic complexity.", keywords = "Static Complexity, Dynamic Complexity, Halstead
Metric, Mc Cabe's Metric.", volume = "3", number = "8", pages = "1933-3", }
