Dynamic software metric estimation (DSME): Tool using ArgoUML

Main Article Content

P.L. POWAR
Samar Upadhyay
M.P. Singh
Bharat Solanki

Abstract

Software cost estimation had been a challenge for the researchers. Due to various technologies and further researches in software development, the field of cost estimation gained an enormous scope for studies. Moreover, the growth of internet based technology and distribution made this problem quite popular. Component based software development strategies have been found to be advantages for software development companies. Cost estimation using static metric has been found to be helpful in pre decisions whereas dynamic metrics are helping for estimating cost of maintenance, system loads and suggests the improvement if required in the technology. The present paper proposes and provides an implementation of the DSME tool for evaluating the software metrics using dynamic metrics. For estimation of dynamic metrics current focus is on time sequence diagram processed using ArgoUML software tool.

Downloads

Download data is not yet available.

Article Details

Section
Articles
Author Biographies

P.L. POWAR, R. D. University, Jabalpur, India

Department of Mathematics and Computer Science

Samar Upadhyay, JEC, Jabalpur

Department of Computer Application

M.P. Singh, Dr. B. R. Ambedkar University, Agra

Department of Computer Science

Bharat Solanki, R. D. University, Jabalpur

Department of Mathematics and Computer Science

References

REFERENCES

Ali A., Jawawi D. N. A., Ibrahim A. O. Isa M.A, Deriving behavioural models of component-based software systems from requirements specifications, Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE), 2015 International Conference on, Khartoum, 2015, pp. 260-265. doi: 10.1109/ICCNEEE.2015.7381373

Chidamber S.R., Kemerer C.F., A metrics suite for object-oriented design, IEEE Transaction on Software Engineering 20 (6) (1994), 476–493.

Fenton N.E., Pfleeger S.L., Software Metrics: A igorous & Practical Approach, second ed., PWS Publishing Company, Boston, 1997.

Henderson-Sellers B., Object-Oriented Metrics: Measures of Complexity, Prentice-Hall PTR, Upper Saddle River, NJ, 1996.

Khalilzad N., Ashjaei M., Almeida L., Behnam M., Nolte T., Adaptive multi-resource end-to-end reservations for component-based distributed real-time systems, Embedded Systems For Real-time Multimedia (ESTIMedia), 2015 13th IEEE Symposium on, Amsterdam, 2015, pp. 1-10. doi: 10.1109/ESTIMedia.2015.7351772.

Khalilzad N., Behnam M., Nolte T., On Component-Based Software Development for Multiprocessor Real-Time Systems, Embedded and Real-Time Computing Systems and Applications (RTCSA), 2015 IEEE 21st International Conference on, Hong Kong, 2015, pp. 132-140. doi: 10.1109/RTCSA.2015.27.

Mahajan S., Joshi S. D., Khanaa V., Component-Based Software System Test Case Prioritization with Genetic Algorithm Decoding Technique Using Java Platform, Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on, Pune, 2015, pp. 847-851. doi: 10.1109/ICCUBEA.2015.169.

Narasimhan L.V., Parthasarathy P.T., Das M, Evaluation of a Suite of Metrics for Component Based Software Engineering (CBSE), issues in Informing Science and Information Technology Volume 6, 2009.

Narasimhan L.V., Hendradjaya B., Some theoretical consideration for a suite of metrics for the integration of software components, issues of information Science and Information Technology, 177 (2007) 844-864.

Pandey R. K., Shareef J.W., CAME: Component Assembly Metrics Extraction using UML, ACM SIGSOFT Software Engineering Notes, July 2013, Volume 38 Number 4, pg. 1-12.

Pandey R. K., Shareef J.W., Design of a Component Interface Complexity Measurement Tool for Component-Based Systems, ACM SIGSOFT Software Engineering Notes, July 2015, Volume 40 Number 1, pg. 1-12.

Sun M., Towards a Coalgebraic Semantics of Behavioral Adaptation in Component-Based Software Systems, Computer Science and Mechanical Automation (CSMA), 2015 International Conference on, Hangzhou, 2015, pp. 41-44. doi: 10.1109/CSMA.2015.15.

SAX, Retrieved on March 5, 2011 http://sax.sourceforge.net.

Weyuker E.J., Evaluating software complexity, IEEE Transaction on Software Engineering 14 (9) (1988) 1357–1365.